News from LabRulezLCMS Library - Week 02, 2026

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News from LabRulezLCMS Library - Week 14, 2026

News from LabRulezLCMS Library - Week 17, 2026

News from LabRulezLCMS Library - Week 20, 2026

A Novel Compact Multi-Reflecting Time-of-Flight Mass Spectrometer

News from LabRulezLCMS Library - Week 21, 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

<h3><strong>How about a coffee break along with a bite of LC? Here you go!</strong></h3><h4><strong>Welcome to the webinar series dedicated to Liquid Chromatography: LC Coffee Breaks Free Webinar Series</strong></h4><p>Each episode focuses on answering a specific challenge faced by chromatographers, helping you improve efficiency, solve problems faster, and stay up to date with the latest trends in Liquid Chromatography.</p><h4><strong>Episode 1 Mastering Overpressure - Prevention and Solutions that Work</strong></h4><ul><li>📆August 06, 2026</li><li>🕑14:00 CEST</li><li><strong>Speaker:</strong> Walter Migliaccio (Sales Application Chemist, Waters)</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6410"><strong>Registration</strong></a></li></ul><p>Overpressure is a common LC challenge that can lead to downtime and unreliable results.&nbsp;</p><p><strong>Learn or review how to:</strong></p><ul><li>Identify key causes and solve them</li><li>Prevent issues in practical ways</li></ul><h4><strong>Episode 2 Strategies to Identify and Reduce Carryover</strong></h4><ul><li>📆September 15, 2026</li><li>🕑14:00 CEST</li><li><strong>Speaker:</strong> Andrea Hoehnel (Senior Sales Applications Chemist, Waters)</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6418"><strong>Registration</strong></a></li></ul><p>Carryover can compromise accuracy and productivity in LC analyses.&nbsp;</p><p><strong>Join this webinar to:</strong></p><ul><li>gain actionable insights into detecting carryover sources&nbsp;</li><li>implement effective solutions for more robust and reproducible results.</li></ul><h4><strong>Episode 3 From RI to CAD: How Universal LC Detectors Compare in Real World Performance</strong></h4><ul><li>📆October 15, 2026</li><li>🕑14:00 CEST</li><li><strong>Speaker:</strong> Pawel Bigos (Senior Scientist, Waters Corporation)</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6419"><strong>Registration</strong></a></li></ul><p><strong>What will you learn</strong></p><ul><li>Gain practical understand on detectors ideal use cases</li><li>Learn how to select the right universal detector to improve your analysis</li></ul><h4><strong>Episode 4 Why My Method Doesn't Transfer Smoothly?</strong></h4><ul><li>📆November 5, 2026</li><li>🕑14:00 CET</li><li><strong>Speaker:</strong> Norris Wong (Senior Evaluation Scientist, Waters Corporation)</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6420"><strong>Registration</strong></a></li></ul><p>Method transfer issues can lead to delays, inconsistent data, and costly rework.</p><p><strong>Join this webinar to:</strong></p><ul><li>Understand the root causes of transfer failures</li><li>Learn best practices for achieving reliable, reproducible liquid chromatography methods across different systems and environments</li></ul><h4><strong>Episode 5 Binary or Quaternary? Choosing the Fit-for-Purpose Gradient System</strong></h4><ul><li>📆December 17, 2026</li><li>🕑14:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6421"><strong>Registration</strong></a></li></ul><p>Clearly understand the strengths, limitations, and impact of your gradient systems can make the difference in your method performances.</p><p><strong>Join this webinar to:&nbsp;</strong></p><ul><li>Learn what to consider to select the best solution for your needs</li><li>Get practical tips to optimize your separations and support your analytical goals</li></ul><h4><strong>Why you should attend</strong></h4><ul><li>Get practical, users insights you can immediately apply in your daily LC laboratory work.&nbsp;</li><li>In just a short coffee-break session, you'll gain valuable tips on troubleshooting, method development, method transfer, technology updates, column chemistries, and real-world applications.</li></ul>

LC Coffee Breaks - Free Webinar Series from Waters Corporation

<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>

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