News from LabRulezLCMS Library - Week 26, 2026

News from LabRulezLCMS Library - Week 27, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 6th July 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies </strong>and<strong> Metrohm </strong>and posters by<strong> Shimadzu/ASMS, Thermo Fisher Scientific/ASMS </strong>and <strong>Waters Corporation/ASMS!</strong></p><h3><strong>1. Agilent Technologies: Determination of 41 Per- and Polyfluoroalkyl Substances (PFAS) in Cosmetics</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_captiva_emr_pfas_food_ii_cartridge_5994_9111en_agilent_be91861646.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Per- and polyfluoroalkyl substances (PFAS) are synthetic compounds composed of highly stable carbon–fluorine (C–F) bonds, giving them exceptional thermal and chemical stability, leading to poor environmental degradability. PFAS have been used in cosmetics to provide water resistance, oil repellency, or application smoothness. The unintentionally presented PFAS residues in raw materials may remain in finished cosmetic products, and can be absorbed through the skin. Lip products and spray type products can also lead to inhalation or oral exposure to residues.<sup>1,2</sup>&nbsp;</p><p>Agilent Captiva EMR PFAS Food cartridges are designed to provide streamlined and comprehensive matrix removal after QuEChERS extraction for complex sample matrices, demonstrating effective matrix cleanup efficiency and excellent performance for quantitative PFAS analysis.<sup>3,4</sup> In this study, we performed QuEChERS extraction followed by cleanup with Captiva EMR PFAS Food II cartridges for PFAS analysis in five types of cosmetics.</p><h4><strong>Experimental</strong></h4><h5><strong>Equipment and materials&nbsp;</strong></h5><p>The study was performed using an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=1290+Infinity+III"><strong>Agilent 1290 Infinity III LC</strong></a> system consisting of an Agilent 1290 Infinity III high-speed pump (G7120A), an Agilent 1290 Infinity III multisampler (G7167B), and an Agilent 1290 Infinity III multicolumn thermostat (G7116B). The LC system was coupled to an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6495D"><strong>Agilent 6495D triple quadrupole LC/MS system</strong></a> (G6495D) equipped with an Agilent Jet Stream Electrospray ion source. Agilent MassHunter Workstation software was used for data acquisition and analysis.&nbsp;</p><p>The 1290 Infinity III LC system was modified using an Agilent InfinityLab PFAS Analysis HPLC conversion kit (part number 5004-0006), including an Agilent InfinityLab PFC delay column, 4.6 × 30 mm (part number 5062-8100). Chromatographic separation was performed using an Agilent <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=ZORBAX+RRHD+Eclipse+Plus"><strong>ZORBAX RRHD Eclipse Plus</strong></a> C18, 95 Å, 2.1 × 100 mm, 1.8 µm (part number 959758-902).</p><h4><strong>Results and discussion&nbsp;</strong></h4><h5><strong>Chromatography and calibration curve linearity&nbsp;</strong></h5><p>Figure 2 shows the overlaid chromatograms for 41 PFAS calibration standards, including 0.05, 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, and 10.0 ng/mL in ACN. The table on the right shows the peaks identification and corresponding retention time. Across 41 PFAS compounds, R² values ranged from 0.9940 to 0.9998, indicating excellent linearity for all analytes' calibration curves across the calibration range of 0.05 to 10.0 ng/mL.</p><h5><strong>PFAS detection in real cosmetic samples&nbsp;</strong></h5><p>Of the 15 cosmetic products assessed, one eyeshadow sample was detected with a trace level of positive PFAS analytes, including PFHeA, PFHpA, PFNA, and PFOA, at about 0.1 ng/g in the sample. Figure 5 shows the method blanks and positive detection of PFHpA and PFNA in this eyeshadow&nbsp;product.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>A simplified, rapid, and reliable method using QuEChERS extraction followed by EMR mixed-mode passthrough cleanup using the Agilent Captiva EMR PFAS Food II cartridge and LC/MS/MS detection was developed for 41 PFAS analysis in cosmetics.</p><h3><strong>2. Metrohm: brightRC – Advanced brightener analysis with a response curve</strong></h3><p><strong>Next-level brightener determination in nonlinear systems</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_v_242_download_83376b2923.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>WHAT IS BRIGHTRC?&nbsp;</strong></h4><p>brightRC is a response curve calibration approach for the determination of brightener-type additives by CVS or CPVS (Cyclic Pulse Voltammetric Stripping), hence the name «brightRC». This technique is suitable to measure brightener content in copper baths for plating. The method is based on signal normalization using the electrolyte value, which is the response for the virgin makeup solution (VMS) saturated with suppressor, and brightener defined as Q0 in the viva software. All recorded signals are divided by Q0 and the normalized values are plotted against concentration to generate an external calibration curve. This calibration can then be used for routine sample determination without repeated standard additions.&nbsp;</p><p>The sample is simply measured using the same method as the calibration, signals are normalized and evaluated using the mathematically fitted calibration curve. By decoupling calibration from sample measurement, brightRC removes the need for repeated standard additions with each sample measurement, enabling faster and more efficient routine analysis.&nbsp;</p><p>The brightRC calibration approach supports flexible regression models including quadratic and nonlinear regression. This allows reliable quantification of additive systems that do not exhibit a wide linear working range or exhibit nonlinear response characteristics, thereby expanding the range of applicable brightener chemistries.&nbsp;</p><p>One important detail that further differentiates brightRC from the MLAT approach relates to normalization of the signal for calibration and sample analysis. This normalization approach improves measurement robustness as variations in absolute signal intensity naturally occurring over the working day are mathematically compensated.</p><h4><strong>HOW DOES BRIGHTRC WORK IN PRACTICE?&nbsp;</strong></h4><p>The brightRC workflow separates calibration and sample analysis. It can be implemented in different setups (from manual to fully automated) depending on the additive system and concentration range. After recording the electrolyte value, calibration standards are measured to establish the calibration curve, otherwise known as the response curve. Once the calibration is stored, samples are determined with the same CVS or CPVS method, without further standard additions. The sample concentration is automatically calculated from the normalized signal using the calibration curve.&nbsp;</p><p>For sample measurement, viva 4.0 provides two practical approaches:&nbsp;</p><ol><li>«brightRC with solution exchange»&nbsp;</li><li>«brightRC with sample dilution» Both variants follow the same calibration principle and differ only in the sample handling strategy.</li></ol><h4><strong>WHEN TO USE BRIGHTRC?&nbsp;</strong></h4><p>brightRC is ideal for routine brightener control in stable plating baths where high sample throughput is required. It is particularly suitable when matrix conditions are consistent and electrode fouling is limited. The approach is especially advantageous for additive systems exhibiting nonlinear signal behavior. If strong matrix variations, significant breakdown products, or severe electrode fouling are expected and a linear correlation between signal and analyte concentration is guaranteed, standard addition techniques such as MLAT are preferred because they may provide additional robustness.</p><h3><strong>3. Shimadzu / ASMS: PFAS Analysis of Leachate: Evaluating Key Sample Preparation and LC–MS/MS Parameters for Improved Performance</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/WP_255_PFAS_Analysis_of_Leachate_Evaluating_Key_Sample_Preparation_and_LC_MSMS_Parameters_for_Improved_Performance_1114ee264c.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Landfill leachate is a highly complex and variable matrix that poses significant challenges for the analysis of per- and polyfluoroalkyl substances (PFAS). Although U.S. Environmental Protection Agency Method 1633A provides a standardized framework for PFAS quantitation,1 analytical performance remains strongly influenced by sample preparation, chromatographic separation, and mass spectrometric conditions. Landfill leachate samples were extracted using WAX SPE following EPA 1633A and analyzed by LC–MS/MS using a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LCMS-8060"><strong>Shimadzu LCMS-8060</strong></a><strong> </strong>under negative ESI conditions. This study evaluates the key factors governing LC–MS/MS sensitivity, signal response, and reproducibility in landfill leachate, including a systematic assessment of SPE, chromatographic behavior, and ionsource conditions across PFAS classes (Figure 1).</p><h4><strong>Results&nbsp;</strong></h4><p>Chromatographic performance was evaluated across four C18 columns (A–D) using peak area, height, asymmetry, and HETP. Two columns produced a higher signal and improved peak shape, while the remaining columns showed greater efficiency. Under repeated batches followed by storage in acetonitrile, the Shimadzu GIST column produced a consistent signal (≤15% change), whereas another column showed 20–50% signal loss, particularly for long-chain PFAS and precursors, indicating greater susceptibility to matrix accumulation (Figure 2).</p><h4><strong>Conclusion&nbsp;</strong></h4><ul><li>PFAS analytical performance was dependent on compoundclass-dependent extraction, chromatography, and ionization behavior.&nbsp;</li><li>GIST demonstrated lower signal variability under repeated matrix exposure, with lower signal degradation than alternative C18 phases.</li><li>Neutral PFAS showed poor retention on WAX sorbents, requiring optimization beyond standard EPA 1633A extraction conditions.&nbsp;</li><li>PFCA response was more influenced by gas flow conditions, whereas PFSA response was more sensitive to source temperature conditions.</li></ul><h3><strong>4. Thermo Fisher Scientific / ASMS: Ultra-high throughput proteomics at &gt;500 samples/day using advanced </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/398"><strong>Vanquish Neo UHPLC</strong></a><strong> methods with </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959"><strong>Orbitrap Astral Zoom MS</strong></a></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004708_lsms_ultra_high_throughput_vanquish_astral_proteomics_po004708_asms2026_na_en_f6499c3eec.pdf"><strong>Full PDF for download</strong></a></li></ul><p>High-throughput mass spectrometry is increasingly critical for large-cohort proteomics, population-scale studies, and screening applications. While established LC–MS platforms routinely support several hundred samples per day, further increases in throughput are often limited by chromatographic stability, robustness, and reproducibility under ultra-short gradient conditions, as well as the acquisition speed of the mass spectrometer. Here, we describe an advanced ultra-high-throughput LC–MS methodology developed on the Thermo Scientific Vanquish Neo UHPLC system and Thermo Scientific Orbitrap Astral Zoom mass spectrometer. The goal of this work was to extend the practical throughput limits of LC–MS while achieving deep proteome coverage and maintaining run-to-run reproducibility.</p><h4><strong>Materials and methods</strong></h4><h5><strong>LC-MS analysis&nbsp;</strong></h5><p>Samples were separated on a Thermo Scientific 150 µm × 70 mm C18 column (prototype, not commercially available yet) operated at 4 µL/min using a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/398"><strong>Vanquish Neo UHPLC system</strong></a> in NanoCap Trap&amp;Elute configuration at room temperature. Prototype methods allowing for reduced LC duty cycles (approx. 1 min of sample pickup/loading and integrated trap-column offline wash) were applied, the standard gradients were adjusted to 1 – 3 min. The Thermo Scientific PepMap Neo 5 µm C18 300 µm × 5 mm cartridge was used as trap column and the separation column connected with a 15 µm ID capillary Thermo Scientific EASY-Spray emitter (ES994) to an EASY-Spray source. The <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959"><strong>Orbitrap Astral Zoom MS</strong></a> (ICSW AST 2.2) was operated in a dataindependent acquisition (DIA) mode, MS method parameters are given in Table 1. Comparative data for the chemoproteomics samples at lower throughputs (60-300 SPD) were acquired using an EASY-Spray 150 µm × 150 mm C18 column (ES906), as described before.&nbsp;</p><h5><strong>Data analysis&nbsp;</strong></h5><p>The raw data files were processed with Spectronaut® 20.5 software (Biognosys AG), <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1782"><strong>Thermo Scientific Proteome Discoverer </strong></a>3.3 SP1 with <strong>CHIMERYS 5.0 </strong>or DIA-NN Enterprise 2.3.2 (Aptila Biotech GmbH) nodes using default settings as specified in the individual figures. The data was searched against the Homo sapiens SwissProt database (TaxID=9606: 42,252 sequences) and contaminants FASTA file. Peptide numbers correspond to unique stripped peptides</p><h4><strong>Conclusions&nbsp;</strong></h4><ul><li>The advanced Vanquish Neo UHPLC methodology in combination with the Orbitrap Astral Zoom MS delivered highly reproducible, deep and precise proteome profiling across ultra-high-throughput regimes (600 SPD) exceeding current field benchmarks.&nbsp;</li><li>The workflow enables rapid chemoproteomic screening, as demonstrated with activity-based protein profiling (ABPP) samples, reliably identifying enriched putative target proteins of an antibiotic small molecule probe.</li></ul><h3><strong>5. Waters Corporation / ASMS: Assessing Relative Response of Four European-Regulated PFAS in Human Serum Using Cyclic Ion Mobility MS</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009410_c98e7c87ec.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><p>The poster presents an LC-Cyclic-IMS-MS approach for assessing four European-regulated PFAS—PFOS, PFOA, PFNA, and PFHxS—in human serum. The study focuses on environmental exposure monitoring in Ghanaian firefighters and e-waste handlers, using ion mobility mass spectrometry to add separation power and improve identification confidence in complex biological matrices. The work is motivated by increasing regulatory concern around PFAS toxicity, bioaccumulation, and the need for reliable exposure assessment in human biofluids.</p><p>The experimental workflow combined reversed-phase LC with a quadrupole-cyclic ion mobility-time-of-flight MS system (<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/202"><strong>SELECT SERIES</strong> <strong>Cyclic IMS</strong></a>). Human serum samples were prepared using SPE µElution plates with a polymeric reversed-phase/weak anion exchange sorbent. The LC system was modified with PFAS-free components and an isolator column to reduce background contamination, which is especially important for trace-level PFAS analysis. Identification was supported by retention time, accurate mass, isotopically labelled internal standards, and collision cross section values.</p><p>The results showed detectable levels of the four regulated PFAS in both occupational groups, with a combined detection rate of 83% across human serum samples and NIST reference standards. Firefighter samples generally showed higher concentration ranges than e-waste handler samples, especially for PFOS, PFOA, PFNA, and PFHxS. For example, PFNA reached up to 5.713 ng/mL in firefighter serum, compared with up to 1.513 ng/mL in e-waste handler serum.</p><p>Overall, the poster concludes that LC-Cyclic-IMS-MS provides a highly specific strategy for PFAS analysis in complex biological samples. Ion mobility and CCS values improve confidence in trace-level identification and help distinguish target PFAS from co-eluting matrix background. The authors suggest that this approach can support both targeted PFAS monitoring and broader non-targeted screening of known and emerging PFAS, while also helping future studies connect exposure data with environmental fate and potential toxicological effects.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 28, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 27th July 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you posters by <strong>Agilent Technologies / ASMS, Shimadzu / ASMS, Thermo Fisher Scientific / ASMS </strong>and<strong> Waters Corporation / ASMS </strong>and application note by<strong> KNAUER!</strong></p><h3><strong>1. Agilent Technologies / ASMS: Down in the Weeds: Automated Fast Screening Workflow for Cannabinoids in Whole Blood Using High Resolution Mass Spectrometry</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_blood_cannabinoids_lc_q_tof_mp_694_asms_2026_en_agilent_02f13ac14e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Distinguishing psychoactive tetrahydrocannabinol (THC) isomers and their metabolites from nonpsychoactive isobars and novel semi-synthetic cannabinoids like hexahydrocannabinol (HHC) is increasingly important to forensic toxicologists, as is the ability to remain up to date with novel compounds that are introduced into the population. This study describes an automated two-step chromatographic workflow that utilizes an initial fast screen method followed by reinjection with specific chromatography to resolve isobars if a suspect is detected in the fast screen on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=Revident"><strong>Revident LC/Q-TOF</strong></a><strong> </strong>with<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=1290+infinity+II+lc"><strong>1290 Infinity II LC</strong></a> (Figure 1). This allows for a larger number of samples to be screened more quickly while ensuring chromatographic resolution of isomers for confirmation. The data acquisition mode enables laboratories to interrogate data retrospectively to determine if novel compounds were present in any given sample.</p><h4><strong>Conclusions</strong></h4><ul><li>Clear and concise software workflow for quick screening analysis&nbsp;</li><li>Baseline resolution of THC isomers and interferences in longer method to allow for confident identification&nbsp;</li><li>All Ions acquisition method allows for retrospective data interrogation with fragment analysis</li></ul><h3><strong>2. KNAUER: Scaling up LNP formulation using a Reynolds number-based methodology</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/VPH_0084_knauer_scaling_up_lnp_formulation_using_a_reynolds_number_based_methodology_e05e67ca78.pdf"><strong>Full PDF for download</strong></a></li></ul><p>LNPs have become an essential enabling technology for RNA-based therapeutics and next-generation drug delivery systems. As these applications progress from laboratory research [1,2] to commercial manufacturing, process robustness and scalability become increasingly important. Beyond scalability, consistent product quality is critical.&nbsp;</p><p>In pharmaceutical development, predefined critical quality attributes (CQAs) such as particle size, PDI, encapsulation efficiency and active pharmaceutical ingredient (API) integrity define whether a formulation meets its intended performance and regulatory requirements. These CQAs are established during early formulation development and must be maintained throughout scaleup to ensure product consistency, pharmaceutical efficacy and reproducibility.</p><p>LNPs are typically generated by controlled mixing of a lipid phase in ethanol with an aqueous buffer containing the nucleic acid payload. The rapid solvent exchange initiates lipid self-assembly and determines the resulting nanoparticle characteristics. Because particle formation occurs on timescales comparable to the mixing process, the interplay between hydrodynamics and nanoparticle assembly is a key determinant of final product quality. Even minor variations in mixing conditions can influence particle size distribution, encapsulation efficiency, and overall formulation consistency.&nbsp;</p><p>To establish robust and scalable manufacturing processes, the underlying transport phenomena must be described independently of an operating scale. Dimensionless numbers provide a powerful framework for this purpose. The Reynolds number (Re) characterizes the flow regime and mixing intensity by relating inertial and viscous forces, while the Damköhler number (Da) describes the relationship between the characteristic timescales of mixing and nanoparticle formation. Together, these parameters provide a quantitative basis for understanding and controlling LNP self-assembly.</p><h4><strong>RESULTS&nbsp;</strong></h4><h5><strong>R&amp;D Evaluation and Hydrodynamic Characterization&nbsp;</strong></h5><p>The experimental study was initiated on <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=503&amp;search=IJM+NanoScaler"><strong>KNAUERs IJM NanoScaler</strong></a>, where multiple LNP formulations were developed and characterized under defined process conditions. During this phase, formulation parameters such as lipid composition, flow rate ratio (FRR), and total flow rate (TFR) were systematically varied to establish target CQAs, particularly particle size and PDI. In addition to recording volumetric flow parameters, the corresponding hydrodynamic conditions were quantified by calculating Re for each experimental setting, thereby the prevailing flow regime within the impingement zone.&nbsp;</p><h5><strong>Determination of a Critical Reynolds Number&nbsp;</strong></h5><p>Particle size was evaluated to depend on the Re using the <strong>IJM NanoScaler </strong>(Fig. 1). At Re below 500 particle sizes of 100 nm and larger were observed, indicating insufficient mixing and heterogeneous supersaturation conditions. With increasing Re, particle size decreased until reaching a plateau region at around 52 nm. Above a critical Reynolds number of ~ 750, further increases in flow rates did not significantly affect particle size. This plateau defines the hydrodynamic condition required to achieve minimal particle size for the given formulation.</p><h4><strong>CONCLUSION&nbsp;</strong></h4><p>A critical Reynolds number defining stable particle size and PDI was successfully identified on the R&amp;D-scale IJM NanoScaler. Operating above this threshold ensured consistent nanoparticle characteristics within a defined plateau region.</p><p>By transferring these hydrodynamic conditions to the benchtop system, predefined CQAs were reliably maintained across scales. The data demonstrate reproducible particle size and PDI during scale-up while enabling a substantial increase in throughput. These findings highlight that a Reynolds number driven approach provides a robust and scalable framework for predictable LNP manufacturing using IJM technology.</p><h3><strong>3. Shimadzu / ASMS: High-Throughput Ultra-Short-Chain PFAS Analysis in Drinking Water using LC-MS/MS with Automated Sample Preparation</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/TP_125_High_Throughput_Ultra_Short_Chain_PFAS_Analysis_in_Drinking_Water_using_LC_MSMS_with_Automated_Sample_Preparation_69e7985cce.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Ultra-short- and short-chain PFAS are highly mobile and persistent contaminants that are challenging to measure in drinking water due to high polarity, low molecular weight, poor chromatographic retention, and susceptibility to laboratory background contamination. This study evaluates a high-throughput LC–MS/MS workflow with automated sample preparation for targeted quantification of ultra-short and short-chain PFAS in drinking water. Method performance was assessed using native background, matrix spike recovery, precision, LOQ accuracy, calibration performance, and continuing calibration verification.</p><h4><strong>Method</strong></h4><p>Nine target PFAS were evaluated: TFA, TFMS, PFPrA, PFMOAA, PFEtS, PFBA, PFPrS, TFSI, and PFBS. Samples and calibrants were prepared in acidified 50:50 PFAS-grade water/methanol using PFAS-grade water provided by MilliporeSigma and an automated ePrep sample preparation system equipped with PFAS-free accessories.</p><p>Chromatographic separation was performed on a polar-embedded IBD column with a delay column to improve retention and minimize background interference. Analysis was performed on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LCMS-8065XE"><strong>Shimadzu LCMS-8065XE triple quadrupole system</strong></a> within an 8-minute total cycle time with a 10 µL injection volume (figure 2). Drinking-water samples were collected from seven local household sources and spiked at multiple concentration levels. Samples were ran in replicates to evaluate recovery, precision, and method robustness.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This 8-minute LC–MS/MS method enabled high-throughput analysis of ultrashort- and short-chain PFAS in drinking water. TFA background observed in blanks and unspiked samples emphasized the need for contamination control and matrix-specific background assessment. Practical LOQs were supported at 10 ng/L for most analytes and 50 ng/L for PFMOAA. Recovery and precision were generally acceptable from 100–1000 ng/L, with higher variability at 10 ng/L and for PFMOAA, indicating areas for further optimization. Calibration and CCV performance supported reliable quantification across the reportable range.</p><h3><strong>4. Thermo Fisher Scientific / ASMS: Unlocking the archived proteome: High-throughput, deep FFPE proteome profiling using the Orbitrap Astral Mass spectrometer</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004694_lsms_protein_ffpe_orbitrap_astral_proteomics_po004694_asms2026_na_en_7cd59d64aa.pdf"><strong>Full PDF for download</strong></a></li></ul><p>FFPE tissue specimens are central to clinical pathology and translational cancer research, enabling long-term storage while preserving morphology for histology and molecular analysis. Widely available through biobanks, they support retrospective studies, biomarker discovery, and precision oncology—especially when paired with detailed clinical data. Compared to fresh tissues, FFPE samples are more accessible, scalable, and cost-effective for proteomics.</p><p>However, FFPE proteomics is technically challenging. Formaldehyde-induced crosslinking complicates protein extraction and digestion, while paraffin removal and crosslink reversal add complexity. Traditional workflows are labor-intensive, time-consuming, and prone to variability, limiting reproducibility and throughput. Although recent advances in sample preparation have improved performance, residual contaminants can still affect instrument robustness and scalability.&nbsp;</p><p>To address these challenges, we implemented a streamlined FFPE proteomics workflow that simplifies processing and improves peptide yield and reproducibility. Using FFPE lung tissue and the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2465"><strong>Thermo Scientific OptiSpray Ion source</strong></a> with the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/836"><strong>Orbitrap Astral Mass spectrometer</strong></a><strong> </strong>across two LC platforms, we achieved sensitive detection of low-abundance peptides from 20– 200 ng inputs. Combined with fast LC methods and acquisition rates of 60, 180, and 500 samples per day, this approach enables deep, scalable profiling. The automated OptiSpray Ion source also reduces instrument contamination, supporting robust, high-throughput analysis of archived clinical tissues for biomarker discovery and translational research.</p><h4><strong>Experimental procedure&nbsp;</strong></h4><h5><strong>Sample preparation&nbsp;</strong></h5><p>Lung tumor and lung normal samples were de-paraffinized using xylene and sequential ethanol washes. The optimized protein extraction protocol and Thermo Scientific EasyPep Mini MS sample prep kit was used to prepare the digest samples from FFPE sections of normal and tumor lung samples. Protein concentration was measured using Thermo Scientific Pierce Rapid Gold BCA Protein Assay kit. The peptides were quantified using the Thermo Scientific Pierce Fluorometric Peptide Assay Kit before LC-MS/MS analysis. For <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=291&amp;search=Evosep+ENO"><strong>Evosep ENO</strong></a>, peptides were loaded on EvoTips .&nbsp;</p><h5><strong>LC-MS analysis&nbsp;</strong></h5><p>Samples were injected onto an Thermo Scientific OptiSpray µPAC Neo Cartridge (P/N OS-UPAC050NAN) and Thermo Scientific OptiSpray µPAC Neo High-Throughput Cartridge (P/N OS-UPAC005CAP) and separated using 20 min (60 SPD) and 6.8 min (180 SPD) gradients, respectively, in direct injection mode at 55°C on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/398"><strong>Thermo Scientific Vanquish Neo UHPLC System</strong></a>. For 500 SPD (2.3 min) separation, samples were processed on Evosep ENO using an Evosep EV1182 Performance Column at 40 °C. Detailed LC and MS parameters are provided in Tables 1–2.&nbsp;</p><h5><strong>Data analysis Spectronaut® Software&nbsp;</strong></h5><p>The raw DIA files from both the labeled and unlabeled samples were analyzed together using Biognosys Spectronaut® Software in directDIA mode. Exported output files were imported to R Studio (2023.09.0 Build 463) with R (v4.3.1) for downstream data analysis and visualization.</p><h4><strong>Conclusions&nbsp;</strong></h4><ul><li>End-to-end FFPE proteomics is completed in under one day, integrating rapid sample preparation, fast LC–MS, and streamlined data analysis.&nbsp;</li><li>Deep proteome coverage is achieved from FFPE lung tissue, with up to ~8,600 protein groups and &gt;100,000 peptides identified from 200 ng input in 20 min.</li><li>Increasing throughput by up to ~8× (60 to 500 SPD) with moderate loss in depth, retaining ~70% of proteins at 180 SPD and ~45% at 500 SPD.&nbsp;</li><li>Robust quantitative performance is maintained at low sample input (20 ng) and across acquisition speeds, with median CVs ≤10%.&nbsp;</li><li>The workflow enables reliable differential expression and pathway analysis at scale, demonstrating its utility for biological insight into lung tumor and normal tissues.</li></ul><h3><strong>5. Waters Corporation / ASMS: Identification of Novel Per-and-Polyfluoroalkyl Substance (PFAS) Isoform in Textile Using a Multi-Reflecting Time-ofFlight Mass Spectrometer Technology</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009415_0b95241dfd.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><p>The poster presents a non-targeted LC-MS/MS workflow for identifying <strong>per- and polyfluoroalkyl substances (PFAS)</strong> in textile materials using high-resolution mass spectrometry. As concerns over PFAS exposure continue to grow, conventional targeted methods often capture only a limited number of compounds. The authors therefore combined <strong>data-dependent acquisition (DDA)</strong> with high-resolution accurate-mass analysis to characterize PFAS profiles more comprehensively, enabling the identification of novel PFAS isoforms and halogenated contaminants with high confidence.</p><p>The analytical workflow was based on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/191"><strong>Waters ACQUITY Premier UPLC system</strong></a> equipped with a PFAS solution installation kit and an <strong>ACQUITY Premier BEH C18 (2.1 × 50 mm, 1.7 µm) column</strong>, coupled to the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2433"><strong>Waters Xevo MRT P10 multi-reflecting time-of-flight (MRT) mass spectrometer</strong></a>. Textile reference material was extracted according to <strong>EN 17681-1:2025</strong>, and LC-MS/MS data were acquired in <strong>data-dependent acquisition (Top 5 DDA)</strong> mode. Data processing and compound identification were performed using the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1544"><strong>waters_connect™ Software Platform</strong></a>, combining accurate precursor and fragment masses with isotopic information.</p><p>A key innovation of the study was the implementation of <strong>mass defect-directed DDA</strong>. By creating a database of nearly <strong>19,600 unique PFAS-related compounds</strong> and using their characteristic mass defects to guide precursor selection, the workflow reduced the number of non-specific MS/MS spectra by approximately <strong>25%</strong>. This allowed the instrument to focus on PFAS-like compounds more efficiently, increasing the number of informative fragmentation spectra and improving the identification of previously unknown PFAS species. The approach successfully identified compounds such as <strong>N-ethyl perfluorooctane sulfonamidoethanol (N-EtFOSE)</strong> in textile extracts with excellent mass accuracy (1.1 ppm).</p><p>The authors conclude that <strong>mass defect-driven DDA</strong> significantly enhances non-targeted PFAS screening by reducing unnecessary MS/MS acquisitions while increasing the number of confidently identified PFAS and PFAS-like compounds. They also suggest that this strategy can be extended beyond PFAS analysis to other classes of persistent environmental contaminants, including <strong>polychlorinated biphenyls (PCBs)</strong> and <strong>polybrominated biphenyls (PBBs)</strong>, making it a promising approach for broader environmental and materials analysis.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 31, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 3rd August 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you posters by <strong>Agilent Technologies / ASMS, Shimadzu / ASMS, Thermo Fisher Scientific / HPLC Symposium </strong>and<strong> Waters Corporation / ASMS </strong>and application note by<strong> Metrohm!</strong></p><h3><strong>1. Agilent Technologies / ASMS: Ultra-Trace Quantification of N-Nitroso-desmethyl-sumatriptan with Interference Resolution Using LC–TQ</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/1290_infinity_iii_uhplc_6495d_lc_tq_desmethyl_sumatriptan_asms_2026_mp_667_agilent_ebb0888227.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Sumatriptan succinate, an antimigraine drug contains nitrosylating functional groups and is susceptible to forming its own nitrosamine drug substance-related impurity (NDSRI), specifically N-nitroso-desmethylsumatriptan. As a Category 1 genotoxic impurity, its specification limit is established at 0.0428 ppm with respect to the API. In this study, samples and standards were prepared in methanol:water (1:1, v/v). The LC/TQ method was developed with a target limit of detection (LOD) at least 20-fold lower than the specification limit to ensure adequate sensitivity. Analytical data were collected in replicate for a 10 mg/mL API sample, as well as LOQ- and specification-level spiked samples, to evaluate recovery, relative standard deviation (RSD), linearity, and repeatability.</p><h4><strong>Experimental</strong></h4><ul><li><strong>LC System: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=1290+Infinity+III+UHPLC"><strong>1290 Infinity III UHPLC</strong></a></li><li><strong>MS:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6495D"><strong>6495D LC/TQ</strong></a></li><li><strong>Column:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=Poroshell+120+EC+C18"><strong>Poroshell 120 EC C18</strong></a>, 3x150mmx2.7µm, 40 Deg C</li></ul><h4><strong>Conclusions&nbsp;</strong></h4><ul><li>A sensitive and robust method has been developed for N-nitroso-desmethyl Sumatriptan in Sumatriptan.&nbsp;</li><li>Method LOQ is 10% lower than specification level, RSD of &lt;5%, and linearity across 0.00214 to 0.1 ppm.&nbsp;</li><li>The recovery of NDSRI in Sumatriptan at LOQ level and specification level are 95%.</li></ul><h3><strong>2. Metrohm: Moisture analysis of rebaudioside M by Karl Fischer titration</strong></h3><p><strong>Simplified rebaudioside M moisture determination via volumetric Karl Fischer titration paired with an oven system</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_k_075_download_59f185c238.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Natural sweeteners like stevia and its derivatives are an increasingly important part of the global sweetener market as more consumers substitute sugar with healthier alternatives. Stevia’s derivatives are significantly sweeter than table sugar. These compounds are estimated to be 50 to 300 times sweeter in comparison. This sweet taste coupled with the fact that the human body cannot metabolize steviol glycosides (i.e., they contribute zero calories to one’s diet), makes them a very attractive sugar replacement.&nbsp;</p><p>The moisture content of stevia materials is a crucial factor when discussing their shelf life and stability. Measuring the moisture content of a stevia derivative, rebaudioside M, using an oven system coupled with volumetric Karl Fischer (KF) titration provided a repeatable approach for quantifying the moisture content of this material.</p><h4><strong>Experimental</strong></h4><p>The analysis was carried out with a Double Pt ring electrode for volumetry (6.00346.100). Testing was executed on the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=220&amp;search=874+Oven+Sample+Processor"><strong>874 Oven Sample Processor</strong></a> (2.874.0120) coupled with an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=220&amp;search=852+Titrando"><strong>852 Titrando</strong></a> (2.852.0060). Approximately 0.2 g of sample was weighed into an 874 Oven Sample Processor 6 mL vial and placed onto the rack. The oven was set to a temperature of 100 °C, and the evaporated moisture was carried to the volumetric titration vessel by nitrogen gas flow at 70 mL/min. The moisture from the sample was titrated with Hydranal Comp 5 reagent.</p><h4><strong>Conclusion</strong></h4><p>Natural low-calorie sweeteners like stevia derivatives are growing in popularity as people choose healthier alternatives to sugar. Working to develop standardized, specific methodology can help support sweetener industry development, effective quality assessment, and the evaluation of rebaudioside M and other steviol glycosides’ stability.&nbsp;</p><p>This Application Note provides a foundation for the analysis of stevia powder by Karl Fischer titration. An oven system paired with volumetric Karl Fischer analysis provides an accurate, repeatable method to evaluate stevia powder and its derivatives. This method’s compatibility with the 874 Oven Sample Processor allows increased sample throughput through automation, providing operators even more time to complete other important tasks in parallel.</p><h3><strong>3. Shimadzu / ASMS: Quantitative analysis of 6 beta blockers on an LCMS-8045RX</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/WP_131_Quantitative_analysis_of_6_beta_blockers_on_an_LCMS_8045_RX_f596f609f4.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Beta-adrenergic blocking agents, commonly known as beta blockers, competitively inhibit the binding of catecholamines such as epinephrine and norepinephrine to β-adrenergic receptors, thereby reducing heart rate and blood pressure. These drugs are widely prescribed for the treatment of hypertension, angina and heart failure<sup>1</sup> . However, beta blockers may also be misused by athletes resulting in their inclusion on the World Anti-Doping Agency (WADA) prohibited list<sup>2</sup> . Owing to both their therapeutic importance and potential misuse, sensitive and selective analytical methods are required for reliable detection and quantification. Liquid chromatography tandem mass spectrometry (LC-MS/MS) offers high sensitivity and specificity for such analyses.</p><h4><strong>Method</strong></h4><p>Nadolol, metoprolol, propranolol, atenolol &amp; carvedilol were purchased from Sigma Aldrich and Thermo Fisher Scientific. Standards were prepared in 1 mg/mL in LCMS grade methanol. <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexera+40"><strong>Nexera 40-series HPLC system</strong></a> connected to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LCMS-8045RX"><strong>LCMS-8045RX</strong></a> was used for data acquisition. The mixture of standards was further diluted in LCMS grade methanol (Sigma Aldrich) and Sigmatrix urine diluent to create the standards for the calibration curves. A Shim-pack Velox Biphenyl column was used for the chromatographic separation. All analytes were ionized with electrospray ionization (ESI) in positive ion mode.</p><h4><strong>Conclusion&nbsp;</strong></h4><ul><li>Superior sensitivity in complex matrices: Limit of Detection (at accuracy ±20% and S/N &gt; 3) of 0.010 ng/mL for all the analytes evaluated in this study.</li><li>Excellent linearity and accuracy: Linear responses (with R2 &gt; 0.99) observed across the evaluated concentration range, and consistent accuracy within ±20% for all 17 calibrants included in this study.&nbsp;</li><li>Optimized throughput: Automated interface and MRM optimization via LabSolutions Connect MRM ensured maximum signal-to-noise determination for this study, while the high-organic flush at the end of each run, maintained column integrity</li></ul><h3><strong>4. Thermo Fisher Scientific / HPLC Symposium: A switchable 2D-LC platform in PAT: routine UV monitoring or MS-based characterization of mAb PQAs directly from the bioreactor</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004764_hplc_vanquish_2dlc_mabs_analysis_bioreactor_samples_po004764_na_en_7a99c1b683.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Monitoring quality attributes throughout the upstream processing of mAbs is critical due to potential effects of biological variability on product safety and efficacy. Thus, there is a growing need for streamlined analytical workflows that provide timely and reliable insights to enable fast and informed process decisions.</p><h4><strong>Materials and methods</strong></h4><ul><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/743"><strong>Thermo Scientific Vanquish Flex Simple</strong></a> Switch 2D-LC system for loop heart-cutting consisting of Quaternary Pump F (VF-P20-A), Binary Pump F (VF-P10-A-01), Dual Split Sampler FT (VF-A40-A-02), 2x Column Compartment H (VH-C10-A-03), and Diode Array Detector FG (VF-D11-A-01)&nbsp;</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1490"><strong>Thermo Scientific Orbitrap Exploris MX Mass Detector</strong></a> (BRE725536) with BioPharma option (BRE725539)&nbsp;</li><li>Thermo Scientific MAbPac Protein A column, 12 µm, 4 x 35 mm (PN 082539)&nbsp;</li><li>Thermo Scientific ProPac 3R SCX, 2 x 50 mm, 3 µm (PN 43103-052068)&nbsp;</li><li>Thermo Scientific MAbPac SEC-1, 5 µm, 4 x 300 mm (PN 074696)</li></ul><h4><strong>Data analysis&nbsp;</strong></h4><p><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Thermo Scientific Chromeleon 7.3.2 Chromatography Data System (CDS) </strong></a>and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1837"><strong>Thermo Scientific BioPharma Finder 5.2 software</strong></a></p><h4><strong>Conclusions&nbsp;</strong></h4><ul><li>Switchable 2D-LC-UV/MS offers a streamlined approach for at-line monitoring of mAb titer, charge and size variants directly from the bioreactor in &lt;1h.&nbsp;</li><li>UV monitoring provides quick and simple trendlines, while HRAM-MS allows deep characterization at intact level.&nbsp;</li><li>Near real-time information supports in-time process decisions to protect yield and product quality.</li></ul><h3><strong>5. Waters Corporation / ASMS: SOFTWARE TOOLS FOR AUTOMATED LC/MS ANALYSIS OF CRITICAL QUALITY ATTRIBUTES OF mRNA MOLECULES</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009414_52de0bb71a.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><p>This poster presents an automated LC-MS workflow for evaluating three critical quality attributes (CQAs) of mRNA therapeutics: <strong>5′-capping efficiency, Poly(A) tail length and heterogeneity, and mRNA sequence integrity</strong>. A custom firefly luciferase (Fluc) mRNA construct containing a Cap-1 structure, 1,919 nucleotides, and a Poly(A) tail was used as the model sample. Importantly, all three CQAs were assessed using a <strong>single LC-MS assay</strong>, supported by specialized waters_connect software tools designed to streamline nucleic acid characterization from sequence entry through final data processing.</p><p>The analytical platform consisted of a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/191"><strong>Waters ACQUITY Premier Binary UPLC System</strong></a><strong> with TUV detector coupled to a </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1148"><strong>Xevo MRT Q-Tof Mass Spectrometer</strong></a>, which uses multi-reflectron time-of-flight technology. Separations were performed on an ACQUITY Premier OST 1.7 µm, 300 Å, 2.1 × 150 mm column, while data-independent acquisition was carried out in MSE mode. Data processing used the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1544"><strong>waters_connect</strong></a><strong> Informatics Platform together with SYNTHETIC Library 2.0, MAP Sequence 2.0, and INTACT Mass 1.9</strong> applications. For sequence mapping, the mRNA was independently digested using four endonucleases—RNase T1, RapiZyme MC1, RapiZyme Cusativin, and human RNase4—providing complementary cleavage patterns.</p><p>The workflow produced detailed information on both capping and Poly(A) tail characteristics. The Fluc mRNA showed <strong>100% capping efficiency</strong>, with 62.7% carrying an m7GpppAm Cap-1 structure and 37.3% an m7GpppGm Cap-1 structure; no uncapped digestion product or Cap-related impurities were detected. Poly(A) tail analysis identified ten major species ranging from <strong>98-mer to 107-mer</strong>, resulting in an average Poly(A) tail length of <strong>102.3 nucleotides</strong>. The Xevo MRT Q-Tof provided high-resolution measurements—approximately 100,000 resolution in the examples shown—and very good mass accuracy for the detected Poly(A) species.</p><p>For sequence integrity, combining the four complementary enzymatic digestions achieved <strong>93.7% unambiguous mRNA sequence coverage</strong>, demonstrating the value of a multi-enzyme approach for comprehensive sequence confirmation. MAP Sequence 2.0 also automatically distinguished structural isomers using elevated-energy fragment-ion information, helping resolve isobaric and isomeric digestion products with less manual interpretation. Overall, the poster demonstrates that high-resolution MSE acquisition on the <strong>Xevo MRT Q-Tof combined with automated waters_connect informatics</strong> can provide an integrated and efficient approach for comprehensive characterization of key mRNA quality attributes.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 32, 2026

<p><strong>As demand for GLP-1 receptor agonists like semaglutide continues to rise, analytical laboratories must ensure accurate impurity profiling, regulatory compliance, and long-term method robustness. A new Thermo Fisher Scientific application note presents a powerful stability-indicating HPLC-UV method for semaglutide analysis using the Thermo Scientific </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/743"><strong>Vanquish Flex UHPLC system</strong></a><strong> and Thermo Scientific </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1981"><strong>Hypersil GOLD Peptide column</strong></a><strong>.</strong></p><h3><strong>Built for peptide impurity challenges</strong></h3><p>Peptide-related impurities are notoriously difficult to separate due to their structural similarity to the parent compound. To address this, semaglutide samples were subjected to thermal and oxidative stress conditions, generating controlled degradation levels to fully challenge the method.</p><p>The result? A robust analytical workflow capable of resolving closely eluting impurities with confidence.</p><h3><strong>Optimized for maximum resolution</strong></h3><p>Careful optimization of column temperature and gradient conditions significantly improved separation. Increasing the column temperature to 55 °C enhanced resolution between semaglutide and critical impurities, demonstrating the importance of precise thermal control.</p><p>Gradient refinement further improved selectivity while maintaining strong sensitivity which is critical for reliable impurity detection in peptide therapeutics.</p><h3><strong>Superior performance with TFA</strong></h3><p>The study also compared mobile phase additives. While formic acid (FA) is common in LC-MS workflows, trifluoroacetic acid (TFA) delivered sharper peaks and improved chromatographic resolution for HPLC-UV analysis. Peak width at 50% height decreased from 0.83 min with FA to 0.32 min with TFA, dramatically enhancing sensitivity.</p><h3><strong>Proven reproducibility for routine QC</strong></h3><p>Method robustness was confirmed across three different column lots, with %RSD values ≤1.3% for all critical performance parameters.</p><p>This level of consistency supports reliable transfer into quality control and regulated laboratory environments.</p><h3><strong>Advance your semaglutide analysis</strong></h3><p>Whether you are developing generic GLP-1 formulations, supporting regulatory submissions, or optimizing peptide impurity methods, this application note provides practical, data-driven guidance.</p><p>Download the application note, <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_004312_pb_glp_1_semaglutide_vanquish_flex_stability_an004312_na_en_10c32c66a3.pdf"><strong>Stability-indicating HPLC-UV method development for GLP-1 receptor analogue semaglutide</strong></a> to explore the full method details, chromatographic data, and reproducibility results.</p><blockquote><ul><li>Stay up to date on the latest GLP-1 analytical technologies and applications. <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/global/forms/industrial/biopharmaceutical-resources-promotions-information-request.html"><strong>Sign up to receive updates</strong></a><strong> </strong>directly in your inbox.</li><li>Explore additional GLP-1 workflows, applications, and solutions on our dedicated <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/pharma-biopharma/biopharma-analytical-solutions.html#industry-insights"><strong>GLP-1 resource hub</strong></a>.</li><li><strong>Visit us on&nbsp;</strong><a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/"><strong><u>LinkedIn:</u></strong></a><strong>&nbsp;</strong>#StabilityIndicatingMethod #GLP1 #UHPLC #Semaglutide</li></ul></blockquote>

Stability-Indicating HPLC-UV Method for Semaglutide Impurity Analysis

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 10th August 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you posters by <strong>Agilent Technologies / ASMS, Thermo Fisher Scientific / ASMS </strong>and<strong> Waters Corporation / ASMS </strong>and application notes by<strong> Metrohm and Shimadzu!</strong></p><h3><strong>1. Agilent Technologies / ASMS: Impurity Monitoring of GLP-1 Therapeutic Peptide RetatrutideUsing a 2D-LC/TOF System</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/glp_1_impurity_monitoring_2d_lc_tof_asms_2026_mp_388_agilent_eadce3f244.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Retatrutide is a next-generation triple agonist (GLP1/GIP/glucagon) and an emerging candidate among multivalent GLP1–based therapeutics. Its structural complexity and diverse impurity profile challenge conventional one-dimensional LC methods, which often lack sufficient resolving power to separate closely related impurities, sequence variants, and synthetic byproducts.&nbsp;</p><p>In this study, we demonstrate an Agilent multiple heart-cutting 2D-LC platform that enables rapid online solvent exchange and enhanced chromatographic selectivity, allowing targeted isolation of impurity peaks from a TFA-based first-dimension separation. When coupled with the Agilent 6230C Accurate Mass TOF LC/MS system, the workflow delivers fast, sensitive, and accurate mass profiling under MS-friendly second-dimension conditions, providing a robust solution for comprehensive impurity characterization of GLP-1 peptides such as Retatrutide.</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?instrumentationItems=39&amp;mainauthorItems=10&amp;search=1290+infinity+III+2D-LC"><strong>Agilent 1290 Infinity III 2D-LC system</strong></a><strong> comprised the following modules:&nbsp;</strong><ul><li>1290 Infinity III Bio Multisampler with Thermostat (G7137A)&nbsp;</li><li>1290 Infinity III Multicolumn Thermostat (G7116B)&nbsp;</li><li>1290 Infinity III Diode Array Detector (G7117B) with Max-Light cartridge cell (G7117-60020)&nbsp;</li><li>1260 Infinity III Bio Flexible Pump (G7131C)&nbsp;</li><li>1290 Infinity III Bio High-speed Pump (G7132A)&nbsp;</li><li>1290 Infinity Valve Drive (G1170A) with 2D-LC ASM Valve (G5643B)&nbsp;</li><li>Two 1290 Infinity III Valve Drives (G1170A) with multiple heart-cutting valves (G5642-64000) equipped with 40 µL Bio loops&nbsp;</li></ul></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6230C"><strong>Agilent 6230C Accurate Mass TOF LC/MS System</strong></a></li></ul><h4><strong>Conclusions</strong></h4><p>Agilent 2D-LC with multiple heart-cutting effectively bridges TFA-driven chromatographic performance with FA-compatible MS detection, overcoming ion suppression limitations.&nbsp;</p><p>The integrated 2D-LC/Accurate Mass TOF workflow delivers confident impurity identification and robust characterization, supporting peptide analysis in both QA/QC and development environments.</p><h3><strong>2. Metrohm: Vinylene carbonate water determination via coulometric Karl Fischer titration</strong></h3><p><strong>Water determination in vinylene carbonate by Karl Fischer coulometric titration made simple with alcohol-free reagents</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_k_076_download_8658665940.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Vinylene carbonate (vc) is commonly used as a battery electrolyte additive in lithium-ion batteries. Its popularity is due to the positive impact it has on anode cyclability and reduction of irreversible capacity. Small amounts of moisture in Li-ion batteries can significantly decrease performance and lifetime. Therefore, moisture levels in electrolyte solutions and their additives are controlled for use in manufacturing. Until recent years, accurate moisture quantification in vinylene carbonate samples was difficult due to side reactions. With the commercial development of alcohol-free coulometric Karl Fischer reagents, accurate determination is now much more accessible to end-users.</p><h4><strong>EXPERIMENTAL</strong></h4><p>This analysis was performed using an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=220&amp;search=852+titrando"><strong>852 Titrando</strong></a> (2.852.0060) instrument, equipped with the electrodes listed in Table 1.</p><h4><strong>CONCLUSION&nbsp;</strong></h4><p>During battery manufacturing, control of all moisture present is important to guarantee adequate performance in the finished product. More easily quantifying the moisture contribution from additives such as vinylene carbonate makes this a much simpler task. The introduction of alcohol-free Karl Fischer reagents accomplishes this effectively, allowing the generation of accurate and repeatable moisture data—even for a difficult sample matrix.</p><h3><strong>3. Shimadzu: Non-Targeted Analysis of Metabolites in Alcoholic Beverages Using LabSolutions Insight Profiler</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01241_en_57b43edb57.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>Using an LC-QTOFMS system with LabSolutions Insight Profiler non-targeted analysis software enables comprehensive comparative analysis of metabolites in food samples.&nbsp;</li><li>Principal component analysis and volcano plots can be used to detect characteristic features in each sample.&nbsp;</li><li>A variety of functions, including MS/MS spectral library searching, enable easy qualitative analysis of components.</li></ul><p>Metabolomics, a technique that analyzes metabolites in living organisms, is increasingly being applied in the food industry for product development and quality control. A particularly powerful approach is non-targeted metabolomics, which aims to analyze not only known metabolites but also unknown compounds without prior assumptions to reveal unexpected chemical differences between samples. Quadrupole time-of-flight mass spectrometry (QTOFMS), with its accurate-mass capability, is well suited for this purpose. However, the large volume of generated data creates challenges for feature identification and data comparison.&nbsp;</p><p>This article presents a case study in which LabSolutions Insight Profiler, a software platform for non-targeted analysis, was used to characterize compounds in beer and beer-like beverages. Peak detection, retention-time alignment, and library searching were performed across multiple datasets. Multivariate analysisrevealed compound profiles that likely reflect the differences in raw materials and manufacturing processes, demonstrating the utility of the approach for beverage characterization.</p><h4><strong>LabSolutions Insight Profiler&nbsp;</strong></h4><p><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LabSolutions+Insight+Profiler"><strong>LabSolutions Insight Profiler </strong></a>is software for batch processing of LC-QTOFMS data that enables non-targeted analysis through an intuitive workflow. It readily supports easy spectral feature detection, alignment, statistical processing, filtering, list screening, MS/MS spectra-based library searching, principal component analysis (PCA), displaying volcano or box plots, and more. Fig. 1 shows the data analysis workflow.</p><h4><strong>Analysis Conditions&nbsp;</strong></h4><p><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=nexera+X3"><strong>Nexera X3 UHPLC</strong></a> and<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=9030"><strong>LCMS-9030 systems</strong></a> were used as the analytical instruments. The LC method included in the LC/MS/MS Method Package for Primary Metabolites was used as the method. The data-dependent acquisition (DDA) mode was used to simultaneously acquire precursor m/z and MS/MS data. Table 2 shows the analysis conditions.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this study, compounds in various beer and beer-like beverages were analyzed by non-targeted analysis using an LCMS-9030 quadrupole time-of-flight mass spectrometer system. Analyzing compounds characteristic of each sample with LabSolutions Insight Profiler software confirmed that the resulting profiles reflected differences in raw materials and manufacturing methods.&nbsp;</p><p>LabSolutions Insight Profiler enables efficient non-targeted analysis by processing LC-QTOFMS data with an intuitive workflow. This workflow allows for objective evaluation of the taste, quality, and nutritional value of food products. Furthermore, this method is applicable not only to the analysis of compounds in beverages but also to non-targeted analysis of other types of samples.</p><h3><strong>4. Thermo Fisher Scientific / ASMS: High throughput targeted proteomic workflows with Adaptive Retention Time on the </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959"><strong>Orbitrap Astral Zoom MS</strong></a></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004699_lsms_art_astral_zoom_proteomics_po004699_asms2026_na_en_78767efdc9.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Advances in MS instrumentation have accelerated the identification of biomarkers, but validating and translating these discoveries into assays for clinical use remains challenging and typically requires robust and accurate targeted approaches. While these often rely on predetermined reference target retention time (RT) windows, analytical column degradation or replacement, aging solvents, sample matrix effects, etc. can cause peptide RT shifts between injections and across longer-term analyses. To accommodate this, targeted MS experiments generally schedule wide target RT windows (&gt;1 min) or rely on heavy labeled peptides to trigger acquisition of endogenous peptides. Both greatly limit the number of quantifiable targets per assay. To overcome this, we utilize adaptive RT (aRT) alignment for live correction of RTs together with the speed and sensitivity of the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959"><strong>Orbitrap Astral Zoom MS</strong></a>. This allows reproducible tracking of &gt;2000 targets with narrow RT windows, high throughputs, such as 300 samples per day (SPD), and hybrid workflows combining targeting, of up to 1000 targets, and discovery.</p><h4><strong>Materials and methods&nbsp;</strong></h4><h5><strong>LC-MS Experiments&nbsp;</strong></h5><p>Experiments were performed using Thermo Scientific Pierce HeLa protein digest resuspended in 0.1% TFA, or individual or pooled human plasma samples. Peptides were separated using a 15 cm Thermo Scientific PepMap analytical columns (150 µm inner diameter) and the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/398"><strong>Thermo Scientific Vanquish Neo UHPLC system</strong></a> at throughputs of 60 or 300 SPD. The liquid chromatography (LC) system was interfaced with the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959"><strong>Orbitrap Astral Zoom MS.</strong></a> Reference runs using MS1 and/or data-independent-acquisition (DIA) scans were acquired to obtain reference aRT spectra, and to determine target RTs. For aRT alignment, methods consisting of aRT MS1 and/or DIA scans, as well as targeted MS2 scans with RT correction were optimized. For hybrid DIA workflows, we used aRT MS1 scans for reference acquisition and alignment, combined with narrow window DIA and a targeted MS2 experiment. Observed RT shifts were caused by natural column degradation, sample matrix effects or when indicated induced by variation in gradient flow rate and buffer composition.&nbsp;</p><h5><strong>Data analysis&nbsp;</strong></h5><p>Reference DIA data was analyzed using Spectronaut. Targets lists were then generated from the search output by selecting varying number of targets evenly distributed across the RT dimension. Target RTs for smaller scale assays were manually validated and exported from Skyline, while target RTs for large scale assays were exported from Spectronaut. For alignment runs, DIA and PRM data were analyzed using Spectronaut and Skyline respectively.</p><h4><strong>Conclusions&nbsp;</strong></h4><ul><li>Adaptive RT alignment on Orbitrap Astral Zoom MS shows robustness against various sources of RT shifts and has high target recovery even for thousands of targets&nbsp;</li><li>aRT enables the use of target acquisition windows &lt;15 s for robust targeting at high throughput&nbsp;</li><li>aRT Hybrid DIA allows targeting of up to 1000 targets with minimal cost to DIA depth</li></ul><h3><strong>5. Waters Corporation / ASMS: BOOSTING SENSITIVITY IN TOP-DOWN PROTEIN STUDIES USING CYCLIC IMS-ENABLED WIDEBAND ENHANCEMENT</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009471_51f2e8b546.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><p>The poster evaluates <strong>Wideband Enhancement (WBE)</strong> as a way to improve sensitivity in top-down protein mass spectrometry. In top-down workflows, intact proteins are fragmented directly, but the signal is distributed across multiple charge states, isotope envelopes, and numerous product ions, which can limit MS/MS sensitivity. WBE addresses this problem by synchronizing ion packets leaving the ion mobility region with the time-of-flight pusher, thereby increasing the number of ions that reach the detector within a selected <i>m/z</i> range.</p><p>Experiments were performed using a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2434"><strong>Waters Cyclic IMS P20 Mass Spectrometer</strong></a> equipped with an <strong>electron capture dissociation cell</strong>. Samples were introduced by direct infusion in positive electrospray ionization mode. Two proteins were studied under denaturing conditions: bovine ubiquitin, approximately 8.5 kDa, and bovine carbonic anhydrase II, approximately 29 kDa. Single-pass and bypass ion mobility measurements were carried out with and without WBE, using both <strong>collision-induced dissociation (CID)</strong> and <strong>electron capture dissociation (ECD)</strong>. Data were acquired in <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/635"><strong>MassLynx</strong></a><strong> v4.2</strong> and processed using <strong>DriftScope</strong> and the <strong>waters_connect UNIFI peptide-mapping workflow</strong>.</p><p>For ubiquitin, WBE substantially increased the intensity of CID- and ECD-derived fragment ions. Improvements of up to tenfold were observed across the c- and z-ion series, while bypass ion mobility mode produced the largest overall sensitivity gain. The results indicate that WBE can enhance fragment detection while retaining the benefits of cyclic ion mobility separation and without sacrificing mass-spectral resolution.</p><p>The larger carbonic anhydrase II protein also showed marked improvements. CID fragment signals increased by up to tenfold for lower-<i>m/z</i> ions and about eightfold for higher-<i>m/z</i> fragments. Because ECD is generally less efficient than CID, the benefit of WBE was especially evident in ECD experiments: sequence coverage increased from <strong>54% without WBE to 70% with WBE</strong> in bypass mode. The authors conclude that combining WBE with complementary CID and ECD fragmentation on the Cyclic IMS P20 enables more sensitive and comprehensive top-down protein characterization.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 33, 2026

<p><strong>This workflow confirms and quantifies 31 drugs of abuse in oral fluid (including THC) in a 4.5‑minute LC run on the </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1149"><strong>Thermo Scientific Stellar mass spectrometer</strong></a><strong> using full scan + targeted MS2 (tMS2) with both HCD and CID fragmentation. With 1 µL injection and 0.1% formic acid in water/methanol mobile phases, the method supports ~13 samples/hour (up to ~320/day continuous operation) while maintaining confirmation performance via ion ratios.</strong></p><blockquote><h5><strong>Method at a glance</strong></h5><ul><li><strong>What matrix is tested?</strong> Oral fluid</li><li><strong>How many drugs?</strong> 31 drugs of abuse (panel includes THC)</li><li><strong>Run time?</strong> 4.5 minutes</li><li><strong>Throughput?</strong> ~13 samples/hour → up to ~320 samples/day (24‑hour operation)</li><li><strong>Injection volume?</strong> 1 µL</li><li><strong>Mobile phases?</strong> 0.1% formic acid in water (A) and 0.1% formic acid in methanol (B)</li><li><strong>MS acquisition?</strong> Full scan + targeted MS2 (tMS2)</li><li><strong>Fragmentation?</strong> Compound‑optimized <strong>HCD</strong> and <strong>CID</strong> in the same targeted list</li><li><strong>Confirmation strategy?</strong> Ion ratios with ±20% tolerance (typical confirmatory approach)</li></ul></blockquote><h3><strong>Why oral fluid—and why speed matters</strong></h3><p>Oral fluid is attractive for clinical and forensic toxicology because collection is simple and the matrix aligns well with high‑volume workflows (workplace/occupational, roadside, and other settings). The challenge is building a method that’s simultaneously:</p><ul><li><strong>Broad enough</strong> for today’s drug panels</li><li><strong>Sensitive enough</strong> to reach required cutoffs</li><li><strong>Fast enough</strong> to keep sample queues under control</li><li><strong>Confirmation‑ready</strong> (consistent product ions and ion ratios)</li></ul><p>A <strong>4.5‑minute</strong> method is a practical lever here: compress runtime, raise throughput, and still keep confirmation quality by optimizing MS/MS conditions per compound.</p><h3><strong>The LC method</strong></h3><p>A short, efficient separation is the foundation of the workflow:</p><ul><li><strong>UHPLC system:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/744"><strong>Thermo Scientific Vanquish Horizon UHPLC</strong></a></li><li><strong>Column:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/424"><strong>Thermo Scientific Accucore Biphenyl</strong></a>, 50 × 2.1 mm, 2.6 µm</li><li><strong>Mobile phase A:</strong> 0.1% formic acid in water</li><li><strong>Mobile phase B:</strong> 0.1% formic acid in methanol</li><li><strong>Injection volume:</strong> <strong>1 µL</strong></li><li><strong>Gradient runtime:</strong> <strong>4.5 minutes</strong></li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_fd3f3e8ea4.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 1: Thermo Scientific Vanquish Horizon UHPLC system." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_fd3f3e8ea4.jpg 120w," sizes="100vw" width="747" height="969"></p><h3><strong>The MS method (Full scan + targeted MS<sup>2</sup> with HCD + CID)</strong></h3><h5><strong>Acquisition approach</strong></h5><p>This method uses a “two‑layer” strategy for quantitation + confirmation:</p><ol><li><strong>Full scan</strong> (broad coverage, context, quantitative support)</li><li><strong>Targeted MS<sup>2</sup> (tMS2)</strong> (confirmation‑focused product ions, ion ratios)</li></ol><h5><strong>The key differentiator: HCD and CID in one targeted list</strong></h5><p>Instead of forcing every analyte into a single fragmentation style, the method uses both:</p><ul><li><strong>HCD</strong> (beam‑type fragmentation)</li><li><strong>CID</strong> (resonance‑type fragmentation)</li></ul><h5><strong>Why that improves method development:</strong></h5><p>Drugs of abuse span multiple chemistries. A single collision approach often works “okay” for most compounds—but one or two analytes can become persistent problems (weak qualifiers, unstable ion ratios, excess noise). Having both <strong>HCD and CID</strong> available in one method lets you optimize per compound and move faster.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_3_e4a95651a2.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 2: Thermo Scientific Stellar mass spectrometer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_3_e4a95651a2.jpg 245w," sizes="100vw" width="645" height="377"></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_5_88276eec6a.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 3: Full scan &amp; targeted MS2 methods, HCD and collision energies used." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_5_88276eec6a.jpg 245w," sizes="100vw" width="768" height="279"></p><h3><strong>Why CID + HCD flexibility improves confirmation</strong></h3><p>In this workflow, <strong>HCD</strong> performed well for most compounds. But for <strong>buprenorphine</strong>, HCD produced one dominant product ion with additional low m/z noise and noticeable residual precursor. Using <strong>CID</strong> generated two high‑intensity product ions and delivered <strong>consistent ion ratios</strong> across the calibration range.</p><p>When your confirmation hinges on stable ion ratios, the ability to switch fragmentation mode (not just collision energy) is a method‑development advantage—especially for “problem analytes.”</p><h3><strong>Controllable ionization</strong></h3><p>Oral fluid methods often deal with limited sample volume and matrix effects. This workflow pairs low injection volume with ionization control using the Thermo Scientific OptaMax Plus HESI source.</p><ul><li>The OptaMax Plus HESI source supports high probe temperature capability (up to 650 °C).</li><li>In this study, a vaporizer temperature of 500 °C was used to help achieve sensitivity and improve relative peak areas across drugs of abuse.</li></ul><p><strong>Why this matters:</strong> If you’re injecting only 1 µL, ionization stability and efficiency can be the difference between “meets cutoff” and “misses at LOQ.”</p><h3><strong>Sample preparation</strong></h3><p>Oral fluid panels become more challenging when THC is included because most drugs of abuse are basic, while THC is largely neutral, and that can stress extraction chemistry.</p><p>In this workflow, oral fluid calibrators and samples were extracted using a mixed‑mode approach designed to recover THC alongside other drugs:</p><ul><li>Calibrators prepared across eight levels (broad dynamic range)</li><li>Extraction performed using mixed‑mode chemistry tips (SCX/WAX) in a dispersive SPE‑style workflow</li><li>Steps automated on a liquid handling platform to support high‑throughput consistency</li><li>Samples dried and reconstituted prior to LC‑MS analysis</li><li>Only 1 µL injected per run</li></ul><p>Even if your lab uses different automation or consumables, the method structure (fast LC + full scan + targeted MS2 with dual fragmentation) transfers well.</p><blockquote><h5><strong>Throughput math</strong></h5><ul><li><strong>4.5 minutes per injection</strong> → 60 / 4.5 = <strong>13.3 injections/hour</strong></li><li>That’s <strong>~13 samples/hour</strong> in typical phrasing</li><li>Over 24 hours: 13.3 × 24 = <strong>~320 samples/day</strong> (continuous operation)</li></ul><p>If you run a single shift, just scale accordingly (e.g., ~106/day for an 8‑hour shift, excluding QC and overhead).</p></blockquote><h3>Performance summary</h3><h5><strong>Sensitivity and linearity</strong></h5><ul><li><strong>Linearity</strong> from LOQs as low as <strong>0.25 ng/mL</strong> up to <strong>1,000 ng/mL</strong> (panel-dependent)</li><li>For THC specifically: <strong>LOQ at 1 ng/mL</strong>, with a dynamic range extending to <strong>1,000 ng/mL</strong> in this evaluation</li><li>Across the panel, LOQs were reported as <strong>lower than recommended confirmation cutoffs</strong> referenced in SAMHSA guidance and NSC Tier 1 cutoffs (study-specific outcome)</li></ul><h5><strong>Confirmation via ion ratios</strong></h5><ul><li>Ion ratios evaluated using <strong>±20% tolerance</strong> (typical confirmatory acceptance framework)</li><li>The workflow produced <strong>consistent ion ratios across calibrator levels</strong> for the full panel in this evaluation</li></ul><h5><strong>Case sample comparison (real-world relevance)</strong></h5><p>When compared against a validated triple quadrupole method for case study samples, the Stellar MS workflow:</p><ul><li>Confirmed the positive hits observed by the reference method</li><li>Reported a few additional positives for select analytes, attributed to lower LOQs</li><li>Highlighted an operational efficiency point: <strong>1 µL injection</strong> in this method versus <strong>20 µL injection</strong> in the compared method</li></ul><h3><strong>FAQ</strong></h3><div><div><ol><li><strong>How long does the LC‑MS run take for the 31‑drug oral fluid panel?</strong><br><strong>4.5 minutes per injection</strong> using a short UHPLC gradient.<br>&nbsp;</li><li><strong>How many drugs of abuse can Stellar MS detect in this workflow?</strong><br><strong>31 drugs of abuse</strong>, including <strong>THC</strong>, using full scan + targeted MS2.<br>&nbsp;</li><li><strong>What MS/MS approach is used?</strong><br>A combined strategy: <strong>full scan</strong> plus <strong>targeted MS2 (tMS2)</strong> for confirmation.<br>&nbsp;</li><li><strong>Why use both HCD and CID?</strong><br>Because some analytes fragment better—and produce more stable confirmation ions/ion ratios—under one mode versus the other. Using both increases flexibility and speeds method optimization.<br>&nbsp;</li><li><strong>What injection volume is used?</strong><br><strong>1 µL</strong> of extracted sample.<br>&nbsp;</li><li><strong>What mobile phases are used?</strong><br><strong>0.1% formic acid in water (A)</strong> and <strong>0.1% formic acid in methanol (B)</strong>.<br>&nbsp;</li><li><strong>How many samples can you run per day?</strong><br>At 4.5 minutes/injection, throughput is <strong>~13 samples/hour</strong> or <strong>up to ~320/day</strong> with continuous operation (actual throughput depends on QC and scheduling).</li></ol></div></div><h3><strong>What makes this workflow “easy” to develop on Stellar MS</strong></h3><p>Here’s the short list of features that directly reduce method‑development friction:</p><ul><li><strong>HCD or CID</strong> in one method → optimize per compound, not compromise</li><li><strong>Fast MS2 acquisition speeds</strong> (up to 140 Hz for MS2) → more data points across narrow peaks</li><li><strong>Fast polarity switching</strong> (true 5 ms) → supports mixed panels efficiently</li><li><strong>Adaptive RT</strong> (real‑time retention time window adjustment) → helps reduce reinjections when retention times drift (e.g., column aging) and supports method transfer from longer to shorter gradients</li><li><strong>OptaMax Plus HESI</strong> source control → supports sensitivity at low injection volumes</li></ul><p><i>If you’re building a fast oral fluid confirmation workflow—or updating an existing DOA panel—this 4.5‑minute method shows how Stellar MS can combine <strong>speed, confirmation-ready MS2, and fragmentation flexibility (HCD + CID)</strong> in a single targeted workflow. Reach out to learn how to adapt the targeted list, collision settings, and scheduling strategy to your lab’s cutoffs and throughput goals.</i></p><blockquote><p><strong>Visit us on&nbsp;</strong><a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/"><strong><u>LinkedIn:</u></strong></a><strong>&nbsp;</strong>#MassSpectrometry #OralFluid #DrugsOfAbuse #MethodDevelopment #HighThroughput</p></blockquote>

4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 17th August 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you posters by <strong>Agilent Technologies / ASMS, Thermo Fisher Scientific / ASMS </strong>and<strong> Shimadzu / ASMS </strong>and application note by<strong> Waters Corporation!</strong></p><h3><strong>1. Agilent Technologies / ASMS: Quantitation of N-Nitroso Duloxetine N-Nitrosamine Drug Substance Related Impurities (NDSRI) in API and Formulation by 6475 LC/TQ</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_drug_impurities_lc_tq_tp_402_asms_2026_en_agilent_b933b9bddf.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Nitrosamine impurities are nitroso derivatives where the nitroso group is attached to an amine. The active pharmaceutical ingredient (API) derived from a class of nitrosamines are known as N-nitrosamine drugsubstance-related impurities (NDSRI). Nitrosamine impurities in APIs and drug products pose safety concerns, even in small quantities, and thus are a major concern for drug makers [1].&nbsp;</p><p>Analytical methods must be sufficiently sensitive to quantify the nitrosamine of interest at levels as low as 10% of the specification limit and, where feasible, down to ≤5% of the specification limit, for the determination of the limit of detection. LC/MS/MS is an inherently selective and highly sensitive analytical technique that is well suited for the identification and quantification of trace-level impurities at extremely low concentrations. Consequently, LC/MS/MS has been widely adopted within the pharmaceutical industry, particularly for nitrosamine analysis [2-3].&nbsp;</p><p>Therefore, manufacturers must develop and qualify a dedicated analytical method that is appropriate for the specific sample matrix and targeted NDSRIs. An LC/MS/MS method based on multiple reaction monitoring (MRM) was developed for the detection and quantification of the N-nitroso duloxetine NDSRI impurity over a concentration range of 0.5 to 40 ppb (absolute standard concentration), using an atmospheric pressure chemical ionization (APCI) source on an Agilent 6475A LC/TQ instrument.</p><h4><strong>Experimental</strong></h4><ul><li><strong>MS:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6475"><strong>6475 Triple Quadrupole LC/MS System</strong></a></li><li><strong>Column:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=Poroshell+HPH+C18"><strong>Poroshell HPH C18</strong></a> (4.6*150mm, 2.7µm)</li></ul><h4><strong>Conclusions</strong></h4><ul><li>A highly sensitive and robust MRM LC/MS/MS method was developed for the quantitation of N-nitroso duloxetine in duloxetine hydrochloride API and finished formulation using the Agilent 6475A LC/TQ.&nbsp;</li><li>The optimized chromatographic conditions provided effective separation of the analyte from the API, placebo, and formulation matrices, ensuring reliable quantitation.&nbsp;</li><li>The calibration curve was linear over the concentration range of 0.5-40 ng/mL, with 1/x weighting. R and R2 values were observed for both to be greater than 0.99.&nbsp;</li><li>Recovery studies demonstrated efficient sample extraction, with recoveries ranging from 92-99% in API samples and 109-116% in pellet formulations at the LOQ, specification, and 200% specification levels.&nbsp;</li><li>The method also showed excellent reproducibility across all evaluated concentration levels, confirming its suitability for routine analysis.</li></ul><h3><strong>2. Shimadzu / ASMS: Non-Targeted Analysis of Per- and Polyfluoroalkyl Substances in Environmental Extracts by Microflow LC-QToF Coupled with Multi-spray ESI</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/TP_562_Non_Targeted_Analysis_of_Per_and_Polyfluoroalkyl_Substances_in_Environmental_Extracts_by_Microflow_LC_Q_To_F_Coupled_with_Multi_spray_ESI_c2a7e1d5bf.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Targeted screening methods are well established for monitoring Perand polyfluoroalkyl substances (PFAS) in environmental samples. However, PFAS comprise a large and evolving class of compounds, creating a need to screen existing, emerging, and transformation products across diverse matrices. Non-targeted Analysis (NTA) allows for the confirmation of suspected PFAS in the environment, but the sample characterization is often limited by analytical sensitivity. Microflow (0.5 – 40 µL/min) coupled with a multi-nozzle emitter enhances sensitivity by improving desolvation. When this is coupled to a high mass accuracy and resolution Quadrupole Time-ofFlight Mass Spectrometer (QToF), capable of data-dependent and independent MS/MS, PFAS characterization of unknown analytes is possible. In this study, various environmental extracts were processed and screened using NTA for PFAS compounds.</p><h4><strong>Methods</strong></h4><p>A <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexera+Mikros"><strong>Shimadzu Nexera Mikros LC</strong> </a>was used to introduce the sample to a Newomics DuoESI source with an M3 emitter on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=9050"><strong>LCMS-9050 QToF MS</strong></a> (Fig. 1). A direct injection on an octadecyl column without delay column was performed. Direct injection was chosen over trapand-elute configuration to minimize selectivity bias caused by the trap column.&nbsp;</p><h4><strong>Conclusion</strong></h4><p>With the increased sensitivity of microflow LC-QToF coupled with multi-spray ESI with DIA acquisition, Insight Explore aided in NTA PFAS analysis. When paired with Insight Discovery and Profiler, a streamlined batch data processing workflow with statistical analysis was shown to effectively handle complex environmental matrices and their analyses.</p><h3><strong>3. Thermo Fisher Scientific / ASMS: Robust and sensitive quantitation of 18 steroids in human serum using Thermo Scientific TSQ Certis Triple Quadrupole mass spectrometer</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004707_lsms_18_steroids_tsq_certis_clinical_po004707_asms2026_na_en_244c52437b.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Accurate quantification of endogenous steroids in human serum is essential for biomonitoring physiological functions such as hormone regulation, reproduction, and immune response in clinical research laboratories. Liquid chromatography–tandem mass spectrometry (LC–MS/MS) is the gold standard for steroid analysis due to its superior sensitivity, selectivity, and multiplexing capability compared to immunoassays. However, steroid measurements remain challenging because of low endogenous concentrations and complex serum matrices. Here, we describe a robust and sensitive LC–MS/MS method for the simultaneous quantification of 18 steroids in human serum using the Thermo Scientific TSQ Certis triple quadrupole mass spectrometer (Figure 1). The method leverages advanced ion source design and fast acquisition to deliver enhanced sensitivity, stability and throughput suitable for high-volume laboratory workflows.</p><h4><strong>Materials and methods</strong></h4><h5><strong>Liquid chromatograph – mass spectrometry&nbsp;</strong></h5><p>Samples were analyzed on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/744"><strong>Thermo Scientific Vanquish Horizon UHPLC system</strong></a> coupled to the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2207"><strong>TSQ Certis MS</strong></a><strong> </strong>operated in selected reaction monitoring (SRM) mode. The mobile phase composition, analytical column details, LC gradient, and overlaid extracted ion chromatograms (EICs) are shown in Figure 3.&nbsp;</p><h5><strong>Data analysis&nbsp;</strong></h5><p>Data were acquired and processed using <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/77"><strong>Thermo Scientific TraceFinder software</strong></a> (v 5.2).</p><h4><strong>Conclusions&nbsp;</strong></h4><p>A sensitive and robust LC–MS/MS method was developed for simultaneous quantification of 18 steroids in human serum using the Vanquish Horizon UHPLC and TSQ Certis MS with OptaMax Plus ion source. The method demonstrated excellent linearity, accuracy, and reproducibility across a wide dynamic range. Optimization of MS conditions, particularly vaporizer temperature, significantly improved sensitivity. Overall, the workflow delivers high sensitivity, selectivity, and long-term stability, providing a reliable solution for high-throughput steroid analysis in clinical and research settings.</p><h3><strong>4. Waters Corporation: Alkaline-hydrolysis Method for PFAS in Textiles and Textiles Products by Xevo™ TQ-S micro with ACQUITY™ UPLC™ H-Class Plus System</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009443_en_0ab4914d72.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><h5><strong>Benefits&nbsp;</strong></h5><ul><li>Alkaline hydrolysis method (EN 17681-1:2025) used for preparing textiles, coated textiles and textile products for PFAS analysis allowed the inclusion of side-chain fluorinated polymers&nbsp;</li><li>Extraction method provided significant advantages in handling complex textile matrices by creating clear extracts free from dispersions, settleable solids and particulates&nbsp;</li><li>Protected the high-value LC-MS/MS components from potential damage&nbsp;</li><li>The method improved analytical sensitivity, reproducibility and accuracy, enabled cost-effective and timeefficient PFAS analysis maintained high analytical quality even for challenging high-matrix samples</li></ul><p>Many PFAS are linked to health concerns because of their ability to interfere with the body’s hormone systems, acting as endocrine disruptors also, linked to other toxic effects. Since textiles come into direct and prolonged contact with the skin, there is an increased risk of human exposure—especially for babies and children.4 In addition, PFAS pose significant environmental concerns. These “forever chemicals” do not readily break down and can be released during manufacturing, washing and disposal, allowing them to enter water pathways and persist in the environment. As a result, testing for PFAS has become increasingly important in the textile industry to demonstrate supply chain transparency, build consumer trust and protect brand reputation.</p><p>Synthetic fluorinated chemicals are categorized into two main groups - non-polymeric PFAS and polymeric PFAS, known for their use as water and grease repellent, heat resistant finishes in textiles, upholstery, leather, apparel, carpet and other industrial applications such as packaging, firefighting foams, non-stick cookware, etc. (Figure 1). PFAS are fluorinated substances contain at least one fully fluorinated methyl or methylene carbon atom (without any H/Cl/Br/I atom attached to it), i.e. with a few noted exceptions, any chemical with at least a perfluorinated methyl group or a perfluorinated methylene group.2 PFAS are classified as long chain and short chain based on their perfluorinated carbon chain length. Short chain fluorinated polymers encompasses a diverse range of chemistries, categorized according to their generic chemical and repeating units structures. Few examples are: derivatives of fluorotelomers, perfluoropolyethers with varying carbon chain lengths and acrylates, epoxylates, urethane, silicones of repeated units based structures.3 Polyfluoroalkyl substances such as fluorotelomer alcohols (FTOHs) contain C–H bonds, rendering them more susceptible to degradation. The ethoxylates in fluorotelomers-methacrylate break down to FTOH whereas polymeric fluorinated urethanes, acrylates break down to PFCAs (non-polymeric and polymeric side chain fluorinated polymers). In contrast, perfluoroalkyl substances such as PFOS and PFOA are extremely persistent due to their fully fluorinated carbon chains.&nbsp;</p><p>In alkaline hydrolysis methods, methanolic aqueous sodium hydroxide is used to break down precursor PFAS such as FTOHs, branched side chain PFAS. This process releases terminal perfluorinated carboxylic acids (PFCAs), which can then be measured. However, the efficiency of hydrolysis varies among different PFAS compounds and the presence of interfering substances such as organic matter or other chemicals in the sample matrix can inhibit the cleavage and detection of these analytes.</p><h4><strong>Experimental</strong></h4><ul><li><strong>LC system:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/198"><strong>ACQUITY UPLC H-Class Plus System</strong></a> and SMFTN fitted with PFAS kit</li><li><strong>Column(s):</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1823"><strong>XBridge™ BEH™ C18 5 µm Column</strong></a>, 4.6 x 100 mm&nbsp;</li><li><strong>MS system: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/209"><strong>Xevo TQ-S micro Mass Spectrometer</strong></a></li></ul><h4><strong>Conclusion&nbsp;</strong></h4><p>By strictly following the critical steps of the alkaline hydrolysis method using methanolic aqueous sodium hydroxide (NaOH) both freely extractable PFAS and those previously bound within side-chain fluorinated polymers such as esters linked to fluorotelomer alcohols (n:2 FTOHs, where n = 4, 6, 8, 10, 12), can be effectively extracted. This approach also safeguards the LC-MS/MS instrumentation from blockages, damage, or contamination by preventing polymer accumulation and matrix interferences.&nbsp;</p><p>The analytical method using the ACQUITY UPLC H-Class Plus System and Xevo TQ-S micro LC-MS/MS System was found to be sensitive, reproducible and accurate, enabling cost-effective and time-efficient PFAS analysis in chemically processed textiles, coated textiles and textile products whilst maintaining high analytical quality even for challenging high-matrix samples.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 34, 2026

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