<p><strong>In the week of June 15, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. GERSTEL: Application Overview - V-ITEX in Practice Across Multiple Fields</strong></h5><ul><li>Tu, 16.6.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6242">Registration</a></li></ul><p>Discover how V-ITEX is applied in food analysis, biotechnology, agricultural science, and metabolomics to enable sensitive, efficient, and practical analytical workflows.</p><h5><strong>2. Thermo Fisher Scientific: Modernizing Dioxin Analysis for Food Control: Introducing a New GC Orbitrap</strong></h5><ul><li>Tu, 16.6.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6256">Registration</a></li></ul><p>Join this webinar to learn about the Orbitrap Exploris™ GC S mass spectrometer and its application in dioxin analysis for food control laboratories.</p><h5><strong>3. Agilent Technologies: Innovations and Emerging Tools in Peptide Science</strong></h5><ul><li>Tu, 16.6.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6252">Registration</a></li></ul><p>Master peptide characterization and manufacturing. Discover Agilent solutions for GLP-1 API scale-up, xCELLigence cell-based bioassays, non-destructive Raman RMID, and inert LC/MS impurity profiling workflows.</p><h5><strong>4. LECO: Characterization of High-Performance Polymers Using Thermal Desorption/Pyrolysis and High-Resolution Mass Spectrometry</strong></h5><ul><li>Tu, 16.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6039">Registration</a></li></ul><p>Discover how thermal desorption and pyrolysis combined with high-resolution GC-TOFMS enable detailed characterization of high-performance plastics such as PEEK and PTFE for advanced industrial applications.</p><h5><strong>5. Agilent Technologies: Becoming A Better Chromatographer: Understanding the Impact of Advanced GC Column Features for Improving Productivity and Data Quality in GC/MS Workflows</strong></h5><ul><li>Tu, 16.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6253">Registration</a></li></ul><p>Enhance GC/MS productivity and data quality. Discover Agilent 5Q premium columns featuring Ultra Inert performance, enhanced thermal stability, ultra-fast conditioning, and extended column lifetime.</p><h5><strong>6. AZoM: Optimizing Future Fuel Processes with Process Raman Spectroscopy: Applications in Hydrogen, Sustainable Aviation Fuels &amp; Carbon Capture</strong></h5><ul><li>We, 17.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6209">Registration</a></li></ul><p>Explore how process Raman spectroscopy supports real-time monitoring and optimization of sustainable aviation fuel, hydrogen, and carbon capture processes in future energy applications.</p>

Webinars LabRulezGCMS Week 25/2026

<p><strong>In the week of June 15, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Agilent Technologies: Innovations and Emerging Tools in Peptide Science</strong></h5><ul><li>Tu, 16.6.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6252">Registration</a></li></ul><p>Master peptide characterization and manufacturing. Discover Agilent solutions for GLP-1 API scale-up, xCELLigence cell-based bioassays, non-destructive Raman RMID, and inert LC/MS impurity profiling workflows.</p><h5><strong>2. Waters Corporation: DMPK: From Sample to Result</strong></h5><ul><li>Tu, 16.6.2026 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6227">Registration</a></li></ul><p>Discover practical DMPK bioanalysis workflows in action and learn how modern software and MS systems improve efficiency, consistency, and confidence from sample to result.</p><h5><strong>3. Waters Corporation: Which Detector Do You Need for GLP-1RAs? Choosing Between MALS and Mass Spec</strong></h5><ul><li>Tu, 16.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6250">Registration</a></li></ul><p>This webinar explains how multi-angle light scattering (MALS) and mass spectrometry (MS) provide complementary insights into GLP-1RA quality.</p><h5><strong>4. Phenomenex: Enabling Robust HILIC LC–MS Workflows for Highly Polar Compound Analysis</strong></h5><ul><li>We, 17.6.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6254">Registration</a></li></ul><p>Enable robust HILIC LC-MS workflows for highly polar compounds. Learn how Kinetex Amide columns provide consistent retention, high selectivity, and excellent reproducibility in complex matrices.</p><h5><strong>5. Waters Corporation: Development and Implementation of an Efficient LC-TOF MS Screening Workflow in Seized Drug Analysis</strong></h5><ul><li>We, 17.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6272">Registration</a></li></ul><p>The upcoming webinar will address how the Acquity UPLC with the RDa detector has been employed to develop a workflow for screening seized drug cases.</p><h5><strong>6. Waters Corporation: Charge! Next-Generation LNP Assays with Waters Reversed Phase Charge Aerosol Detection</strong></h5><ul><li>We, 17.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6258">Registration</a></li></ul><p>Optimize lipid nanoparticle separations. Discover new lipid stationary phases and method development strategies for LNP composition and impurity analysis using UV, ELSD, CAD, and MS detection.</p><h5><strong>7. Waters Corporation: Advancing Size Exclusion Chromatography (SEC) for Characterization of Genetic Therapeutics</strong></h5><ul><li>Th, 18.6.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6259">Registration</a></li></ul><p>Optimize size exclusion chromatography for genetic therapeutics. Learn how wide-pore SEC columns enable high-resolution profiling of mRNA, LNPs, and viral vectors while preventing shear degradation.</p><h5><strong>8. Metrohm: From Challenge to Confidence: PFAS Analysis with Ion Chromatography-Based Techniques</strong></h5><ul><li>Th, 18.6.2026 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6264">Registration</a></li></ul><p>Master comprehensive PFAS water analysis. Learn how Combustion IC (CIC) determines total AOF, and discover how IC-MS/MS quantifies highly hydrophilic ultra-short chain PFAS like trifluoroacetic acid (TFA).</p><h5><strong>9. Evosep Biosystems: Assay Development for translational and research applications</strong></h5><ul><li>Th, 18.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6265">Registration</a></li></ul><p>Discover how the Evosep Eno system, when combined with the Orbitrap Exploris 480 instrument, enables high-throughput proteomic analysis of plasma for machine learning models.</p><h5><strong>10. Unchained Labs: Know the ins and outs of your lentivirus with Leprechaun</strong></h5><ul><li>Th, 18.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6266">Registration</a></li></ul><p>Optimize lentivirus characterization for in vivo CAR-T therapies. Learn how Leprechaun combines interferometry and fluorescence to deliver complete size and structural data on individual viral particles.</p><h5><strong>11. Technology Networks: Selecting Biomarker Methods for Evolving Oncology Research Workflows</strong></h5><ul><li>Th, 18.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6260">Registration</a></li></ul><p>Select the right biomarker methods for precision oncology. Balance sensitivity with turnaround time.</p><h5><strong>12. SelectScience: Native fluorescence detection for high-throughput CE-SDS and AAV characterization in drug development</strong></h5><ul><li>Fr, 19.6.2026 17:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6268">Registration</a></li></ul><p>Enhance CE-SDS and AAV characterization. Learn how native fluorescence detection (NFD) on the BioPhase 8800 system improves signal-to-noise ratios without protein labeling or workflow complexity.</p>

Webinars LabRulezLCMS Week 25/2026

<p><strong>In the week from June 15, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Agilent Technologies: Innovations and Emerging Tools in Peptide Science</strong></h5><ul><li>Tu, 16.6.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6252">Registration</a></li></ul><p>Master peptide characterization and manufacturing. Discover Agilent solutions for GLP-1 API scale-up, xCELLigence cell-based bioassays, non-destructive Raman RMID, and inert LC/MS impurity profiling workflows.</p><h5><strong>2. Bruker: SpinPilot – The Future of NMR Automation</strong></h5><ul><li>Tu, 16.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6251">Registration</a></li></ul><p>Advance your NMR automation with Bruker SpinPilot. Discover how profile-based configurations, experiment queues, and Python customization optimize your TopSpin 5 workflows.</p><h5><strong>3. Agilent Technologies: Driving higher throughput through innovative QQQ ICP-MS techniques</strong></h5><ul><li>Tu, 16.6.2026 20:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6067">Registration</a></li></ul><p>Advanced methodology for enhancing sample throughput through recent advances in Helium KED mode and complementary interference removal techniques.</p><h5><strong>4. C&amp;EN: Recycled Plastics: Solutions for Quality and Process Control</strong></h5><ul><li>We, 17.6.2026 14:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6255">Registration</a></li></ul><p>Optimize recycled plastics quality and process control. Explore analytical solutions for food-grade PET consistency, PC/ABS molding variations, and rapid quantification of microscopic foreign matter.</p><h5><strong>5. AZoM: Optimizing Future Fuel Processes with Process Raman Spectroscopy: Applications in Hydrogen, Sustainable Aviation Fuels &amp; Carbon Capture</strong></h5><ul><li>We, 17.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6209">Registration</a></li></ul><p>Explore how process Raman spectroscopy supports real-time monitoring and optimization of sustainable aviation fuel, hydrogen, and carbon capture processes in future energy applications.</p><h5><strong>6. Bruker: From Neural Recording to Functional Insight: Accelerating Discovery with the Inscopix Integrated Workflow</strong></h5><ul><li>We, 17.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6257">Registration</a></li></ul><p>See the full suite of Bruker’s Inscopix integrated solutions and scientific support for neuroscience research.</p><h5><strong>7. LECO: Analysis of the Key Parameters of Biofuels</strong></h5><ul><li>Th, 18.6.2026 14:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6040">Registration</a></li></ul><p>Learn how modern analytical techniques enable fast, precise characterization of biofuels and SRF. This webinar covers key parameters such as MVA, CHNS, calorific value, and ash fusion behavior.</p><h5><strong>8. Unchained Labs: Know the ins and outs of your lentivirus with Leprechaun</strong></h5><ul><li>Th, 18.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6266">Registration</a></li></ul><p>Optimize lentivirus characterization for in vivo CAR-T therapies. Learn how Leprechaun combines interferometry and fluorescence to deliver complete size and structural data on individual viral particles.</p><h5><strong>9. SciY/Mestrelab Research: Structural Insights into mAb Degradation Pathways through Chemometrics-NMR Synergistic Analysis</strong></h5><ul><li>Th, 18.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6261">Registration</a></li></ul><p>Optimize higher-order structure assessment of mAbs. Learn how combining NMR with chemometrics and PLS regression in Mnova BioHOS identifies forced degradation pathways, aggregation, and structural changes.</p>

Webinars LabRulezICPMS Week 25/2026

Developing Quick Screening Method to Identify Rice Cultivars with Unique Aromatic Features

<p><strong>This study systematically compares four widely used lysosome enrichment strategies, including density gradient separation, magnetic bead isolation, filter-based enrichment, and subcellular fractionation. Using the THP-1 monocytic cell line, the methods were evaluated for lysosome yield, purity, membrane integrity, reproducibility, scalability, and contamination through complementary analytical techniques and proteomics.</strong></p><p>The results showed that gradient- and bead-based methods achieved the highest lysosomal purity, while subcellular fractionation yielded larger numbers of lysosomes but with greater contamination and variability. Filter-based enrichment enabled rapid processing but recovered mainly nonintact lysosomes. The findings provide practical guidance for selecting lysosome isolation methods in both research and clinical applications.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05792"><strong>Benchmarking Lysosome Enrichment Methods: A Guide for Research and Clinical Translation</strong></a></h4><p>Anniek L. de Jager, Sara Kassem, Louis Alesha, Brigitta A.E. Naber, Inge F. de Laat, Bas de Mooij, Kyra van der Pan, Erik Bos, Roman I. Koning, Jacques J.M. van Dongen*, Cristina Teodosio*, and Paula Díez*</p><p>Anal. Chem. 2026, 98, 6, 4585–4600</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05792">https://doi.org/10.1021/acs.analchem.5c05792</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><div><p>Since their discovery by De Duve et al. <a href="javascript:void(0);">(1)</a> in 1955, lysosomes have emerged as dynamic organelles critical to cellular homeostasis, regulating processes from nutrient sensing to plasma membrane repair. <a href="javascript:void(0);">(2−5)</a> These acidic, enzyme-packed vesicles <a href="javascript:void(0);">(6,7)</a> are now acknowledged as central players in pathologies far beyond their classical association with lysosomal storage disorders (LSDs). Dysfunctional lysosomes are involved in neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s), <a href="javascript:void(0);">(8−10)</a> cancer metastasis, <a href="javascript:void(0);">(11−13)</a> and cardiovascular disorders. <a href="javascript:void(0);">(14,15)</a> At the same time, lysosomal proteins like GBA1 and LAMP2 serve as biomarkers and therapeutic targets. <a href="javascript:void(0);">(16−19)</a> Despite their clinical significance, a major challenge in lysosomal research persists since lysosomes constitute less than 5% of cellular volume, <a href="javascript:void(0);">(20,21)</a> requiring precise enrichment for accurate analysis in diagnostic and therapeutic development. <a href="javascript:void(0);">(22,23)</a></p><p>Current lysosome isolation methods, including density gradient-based separation, <a href="javascript:void(0);">(24−28)</a> filter-based size exclusion approaches, <a href="javascript:void(0);">(29)</a> magnetic particle phagocytosis, <a href="javascript:void(0);">(30−33)</a> subcellular fractionation (SCF), <a href="javascript:void(0);">(34)</a> and immunoprecipitation strategies, <a href="javascript:void(0);">(35,36)</a> vary widely in yield, purity, structural integrity, and practicality. For instance, density gradient-based methods, which often use Percoll <a href="javascript:void(0);">(37)</a> or sucrose, <a href="javascript:void(0);">(38)</a> while well-established, user-friendly, and cost-effective, coisolate organelles with similar densities, such as endosomes, peroxisomes, and mitochondria, <a href="javascript:void(0);">(39,40)</a> and can be time-consuming, potentially affecting lysosomal protein integrity. Conversely, filter-based size exclusion methods isolate lysosomes based on their size, <a href="javascript:void(0);">(29)</a> offering shorter processing times and straightforward protocols. Nevertheless, these approaches may result in cross-contamination, as various cellular vesicles share similar sizes. <a href="javascript:void(0);">(20,21)</a> Magnetic bead-based methods (e.g., superparamagnetic iron oxide nanoparticles, SPION) involve the endocytic uptake of magnetic beads, <a href="javascript:void(0);">(35,41)</a> offering specificity but altering lysosomal physiology through forced phagocytosis, which hampers functional assays, such as in cancer drug screening. <a href="javascript:void(0);">(42,43)</a> Finally, SCF, which employs sequential lysis steps to enrich specific organelles, including lysosomes, <a href="javascript:void(0);">(34,44)</a> is a rapid, easy-to-use, and cost-effective method; however, significant cross-contamination is linked to this method. <a href="javascript:void(0);">(34,44)</a> Such trade-offs are rarely addressed in single-modality studies, leaving clinicians and researchers without clear guidance for protocol selection. This gap is particularly critical in translational contexts, where diagnostic laboratories that prioritize high-purity lysosomes for biomarker discovery require protocols different from those of therapeutic teams that need lysosomes for drug efficacy testing.</p><p>Previous comparative studies, such as the proteomic analysis by Singh et al., <a href="javascript:void(0);">(35)</a> have provided valuable insights but primarily focused on yield and purity assessments via proteomic markers, overlooking several key parameters with potentially relevant impacts in translational and clinical applications. Critically, these studies often omit functional and practical metrics: for instance, they typically do not evaluate lysosomal membrane integrity, which is vital for enzyme activity and therapeutic testing, nor do they consider the scalability and feasibility of protocols for contexts where only limited patient samples are available or the potential presence of isolation artifacts. This omission of practical, multimodal assessment represents a critical gap that prevents researchers from selecting a protocol optimized for specific clinical goals.</p><p>Our study seeks to address these limitations by employing a multimodal framework that evaluates four widely used lysosome isolation methods across several metrics that are critical for clinical applications. We systematically assessed the yield and reproducibility of each method, factors that are essential for biobanking and high-throughput diagnostic workflows. We also examined organelle purity, crucial for avoiding false positives in proteomic biomarker screenings, together with lysosomal membrane integrity, an important consideration for functional studies and drug testing. Finally, we considered the scalability of each method, ensuring that our findings are relevant for studies involving rare or precious patient-derived cells together with the cost and processing time of each technique. Thus, by integrating nanoparticle tracking analysis (NTA), spectral flow cytometry, transmission electron microscopy (TEM), and mass spectrometry (MS)-based proteomics, our study revealed distinct advantages for each method depending on the intended application. With this comprehensive benchmark, we bridged a critical gap between fundamental lysosome biology and clinical implementation, guiding researchers and clinicians in the selection of the most appropriate isolation strategies tailored to their diagnostic or therapeutic goals.</p><h3><strong>Experimental Section</strong></h3><h4><strong>Liquid Chromatography–Tandem Mass Spectrometry Analysis (LC–MS/MS)</strong></h4><p>For liquid chromatography–tandem mass spectrometry (LC–MS/MS) studies, a total of 15 μg of proteins were reduced with 10 m<span>M</span> DTT at 45 °C for 30 min, followed by alkylation with 40 m<span>M</span> 2-iodoacetamide (IAA, Sigma-Aldrich) at RT for 30 min. This last reaction was quenched with 20 m<span>M</span> DTT, and protein digestion and peptide recovery were performed using hydrophilic and hydrophobic beads (Sera-Mag Carboxylate-Modified Magnetic Particles, Cytiva, Marlborough, MA/USA) according to the Single-Pot Solid-Phase-enhanced Sample Preparation (SP3) method. <a href="javascript:void(0);">(46,47)</a> In short, samples were incubated twice with beads (1:10 (w/w) protein:bead ratio) in 70% acetonitrile (ACN) for 18 min at RT. After incubation, bead-bound proteins were retained by using a DynaMag-PCR Magnet (Thermo Fisher), and contaminants were washed away three times with 80% ethanol (Sigma-Aldrich). Proteins were digested using a Trypsin/LysC mix (1:25 (w/w) enzyme:protein ratio, Promega, Madison, WI/USA) in 50 m<span>M</span> ammonium bicarbonate at RT overnight. Beads were then washed twice with ACN, after which peptides were eluted in 2% (v/v) dimethyl sulfoxide (DMSO, Thermo Fisher), lyophilized in a freeze-dryer, and stored at −20 °C. Samples were then tagged using the tandem mass tag (TMT) labeling kit (TMTpro 16plex tags, Thermo Fisher) by resuspending the lyophilized peptides in 40 m<span>M</span> HEPES pH 8.4 and labeling with the TMT tags at a 1:5 (w/w) sample:tag ratio for 1 h at RT. The labeling reaction was quenched with 5% hydroxylamine. TMT-labeled lysosome samples were pooled, lyophilized in a freeze-dryer, and stored at −20 °C until LC–MS/MS analysis.</p><h4><strong>Mass Spectrometry Data Acquisition and Analysis</strong></h4><p>MT-labeled peptides were dissolved in solvent A (water/formic acid (FA), 100/0.1 (v/v)) and analyzed by online C18 nano-HPLC MS/MS, coupling an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=3&amp;search=UltiMate+3000"><strong>UltiMate 3000 gradient HPLC system</strong></a> (Thermo Fisher) and an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/401"><strong>Orbitrap Exploris 480 mass spectrometer</strong></a> (Thermo Fisher). A total of 12 fractions were injected onto a precolumn (300 μm × 5 mm; PepMap100 C18 5 μm, Thermo Fisher) equilibrated with solvent A and eluted via a homemade analytical nano-HPLC column (50 cm × 75 μm; ReproSil-Pur C18-AQ 1.9 μm) using solvent B (80/20/0.1 (v/v/v) ACN/water/FA) in a gradient from 5 to 30% in 160 min. The nano-HPLC column was drawn to a tip of ∼5 μm and functioned as an electrospray needle. A Sonation PRSO-V2 column oven was used to maintain the analytical column temperature at 50 °C. The MS1 spectra were recorded in the Orbitrap at a mass-to-charge ratio (<i>m</i>/<i>z</i>) range of 350–1,600, a resolution of 120,000, a maximum injection time of 50 ms, and automatic gain control (AGC) at standard. Dynamic exclusion was applied after <i>n</i> = 1 with an exclusion duration of 45 s and a mass tolerance of 10 ppm. Charge states 2–5 were included. Precursors for MS2 were selected using a TopSpeed method of 3 s at a resolution of 45,000 and fragmented by high-energy collision-induced dissociation (HCD) at a normalized collision energy (NCE) of 36%, with an AGC at 200 and the maximum injection time set to auto. The isolation window for MS/MS was 1.2 Da.</p><p>Raw data files were converted to the peak list by using <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1782"><strong>Proteome Discoverer v2.4</strong></a> (Thermo Fisher), followed by protein identification employing the UniProtKB database (<i>Homo sapiens</i>, 20,596 entries) using Mascot v2.2.07 (Matrix Science Inc., Boston, MA/USA) with the following parameters: precursor and fragment mass tolerances of 10 ppm and 0.02 Da, respectively; TMT16plex on N-term and Lys as fixed modifications; oxidation on Met and acetylation of N-term as variable modifications; and full tryptic digestion (no P rule) with up to 2 missed cleavages. A false discovery rate (FDR) of 1% was set for peptide spectrum matches (PSMs), peptides, and proteins.</p><p>The MS data have been deposited via the PRIDE partner repository to the ProteomeXchange Consortium with the identifier PXD040003.</p><h3><strong>Results</strong></h3><h4><strong>Quantification and Size Distribution of Isolated Vesicle Fractions</strong></h4><p>To assess the yield and size distribution of vesicles isolated by different methods, nanoparticle tracking analysis (NTA) was employed. The SCF procedure yielded the highest median number of vesicles per cell (2,356.3 ± 7,461.7; median ± range), followed by gradient-based (1,630.2 ± 1632.3), filter-based (228.2 ± 265.6), and bead-based isolation (27.8 ± 35.2). Both filter- and bead-based approaches resulted in significantly lower yields compared to SCF (<i>p</i>-value = 0.002 and <i>p</i>-value &lt;0.0001, respectively), and the gradient-based method yielded significantly more vesicles than the bead-based approach (<i>p</i>-value = 0.002; <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05792#fig1">Figure 1</a>A).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_6_4585_4600_Figure_1_Quantification_and_size_analyses_of_isolated_vesicles_2d5c120f05.jpeg" alt="Anal. Chem. 2026, 98, 6, 4585–4600: Figure 1. Quantification and size analyses of isolated vesicles. A) Quantification of isolated vesicles per cell, shown as median with range. Circles represent technical replicates. B) Size distribution of isolated vesicles (in nm), displaying average D10 (red), D50 (blue), and D90 (gray), depicted as median with range. Circles represent technical replicates. C–F) Particle distribution plots showing mean concentration at specific sizes; each line represents a technical replicate. For each method, six technical replicates are shown, except for SCF, which includes 12 replicates. SCF, subcellular fractionation. Statistical significance: p &lt; 0.05 and FDR 5%. For statistical analysis, the nonparametric Kruskal–Wallis test was used and corrected for multiple comparisons using the method of Benjamini and Hochberg." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_6_4585_4600_Figure_1_Quantification_and_size_analyses_of_isolated_vesicles_2d5c120f05.jpeg 126w," sizes="100vw" width="1383" height="1708"></p><p>Median vesicle size (D50) was comparable across all methods: 159.5 ± 17.2 nm (gradient-based), 169.9 ± 82.7 nm (filter-based), 168.9 ± 42.4 nm (bead-based), and 150.0 ± 55.6 nm (SCF). Similarly, decile 10 (D10) values were consistent, ranging from 87.1 ± 87.3 nm (SCF) to 108.2 ± 3.1 nm (gradient-based). However, filter-based isolation led to higher size heterogeneity of the isolated particles, capturing significantly larger vesicles at the upper end (D90:308.5 ± 110.7 nm) compared to SCF (244.9 ± 112.6 nm, <i>p</i>-value = 0.005), while gradient- and bead-based methods showed intermediate D90 values (250.8 ± 31.7 nm and 273.0 ± 45.9 nm, respectively; <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05792#fig1">Figure 1</a>B). Notably, greater intra-assay variation in concentration and size distribution was observed with filter-based and SCF methods compared to the other approaches (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05792#fig1">Figure 1</a>C–F).</p><h4><strong>Morphology of the Isolated Fractions</strong></h4><p>Transmission electron microscopy (TEM) of the isolated fractions confirmed the presence of heterogeneously sized vesicles, in line with the size distributions obtained by NTA. Notably, only the gradient-based method yielded relatively pure vesicle preparations. In contrast, filter-based and SCF methods displayed contamination with cellular debris or protein aggregates, while the bead-based approach was associated with the presence of lipid structures (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05792#fig2">Figure 2</a>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_6_4585_4600_Figure_2_Transmission_electron_microscopy_TEM_of_isolated_fractions_f14ddbe180.jpeg" alt="Anal. Chem. 2026, 98, 6, 4585–4600: Figure 2. Transmission electron microscopy (TEM) of isolated fractions. Panels A–D show TEM images of the four isolated fractions. Insets display magnified views of the regions outlined in black squares. Black arrows indicate identified representative isolated vesicles, and white arrows denote areas of contamination." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_6_4585_4600_Figure_2_Transmission_electron_microscopy_TEM_of_isolated_fractions_f14ddbe180.jpeg 145w," sizes="100vw" width="1263" height="1361"></p><h3><strong>Conclusion</strong></h3><p>This study provides a systematic benchmarking of four lysosome isolation strategies, revealing inherent trade-offs among yield, integrity, purity, and reproducibility driven by their underlying separation principles. No single method is universally optimal; instead, the method selection must be guided by the intended downstream application. By integrating complementary analytical approaches in a clinically relevant and challenging monocytic model, our work offers a practical framework to support the informed selection of lysosome enrichment strategies, facilitating reliable lysosomal analyses in both research and translational settings.</p></div>

Benchmarking Lysosome Enrichment Methods: A Guide for Research and Clinical Translation

A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 15th June 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS 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://lcms.labrulez.com/library"><strong>LabRulezLCMS</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 brochure by <strong>Agilent Technologies, </strong>application note<strong> </strong>by<strong> Shimadzu</strong>, presentation by <strong>MDCW / Institut d’Investigació Sanitària Pere Virgili </strong>and poster by<strong> Waters Corporation!</strong></p><h3><strong>1. Agilent Technologies: </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8860B"><strong>Agilent 8860B Gas Chromatograph</strong></a></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ds_8860_gas_chromatograph_5994_9066en_agilent_f4d445178f.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8860B"><strong>Agilent 8860B gas chromatograph</strong></a> delivers reliable, repeatable performance for routine analyses, combining proven GC expertise with simplified operation. A bright color touchscreen provides quick access to system setpoints, configuration details, flowpath information, and live signal plots to easily monitor run progress. For deeper control, the built‑in Agilent GC Assist interface—optimized for tablets, PCs, and mobile devices—offers advanced system intelligence, including remote status checks, self‑guided diagnostics, maintenance tools, and method and sequence&nbsp;editing. The 8860B supports full electronic pneumatics control (EPC) or electronic pneumatics regulation (EPR), enabling precise, automated or electronically adjusted gas management. Both EPC and EPR use robust 7th‑generation microchannel architecture, designed for superior protection against contaminants and improved long-term reliability.</p><h4><strong>GC system capabilities&nbsp;</strong></h4><ul><li><strong>Retention time repeatability: </strong>&lt; 0.03% or 0.003 minutes&nbsp;</li><li><strong>Area repeatability:&nbsp;</strong><ul><li>&lt; 1.0% RSD&nbsp;</li><li>The 8860B display comes with physical start/stop buttons for manual analysis&nbsp;</li><li>Easy access to maintenance and service modes from the GC&nbsp;Assist interface, including autonomous leak checks&nbsp;</li><li>The GC Assist interface provides remote connectivity enabling you to monitor your smart GC system, check system logs, and perform diagnostics tests, from inside or outside the laboratory&nbsp;</li><li>Atmospheric pressure and temperature compensation are built into every system, so results do not change, even when the laboratory environment does.</li></ul></li><li><strong>Simultaneously supports&nbsp;</strong><ul><li>Two inlets&nbsp;</li><li>Three detectors &nbsp;</li><li>Support for up to any combination of three valves total:&nbsp;<ul><li>Up to four heated gas sample valves&nbsp;</li><li>Up to two liquid sampling valves&nbsp;</li></ul></li><li>Dual sample introduction capabilities:&nbsp;<ul><li>Supports two <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7693A"><strong>7693A</strong></a> autoinjectors with capacity for 16&nbsp;sample vials&nbsp;</li><li>Supports one 7693A autoinjector and automatic sampler tray with capacity for 150 sample vials&nbsp;</li><li>Supports one 7650A autoinjector with capacity for 50 sample vials with one 7693A with capacity for 16&nbsp;sample vials&nbsp;</li><li>Supports one <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=PAL3"><strong>PAL3</strong></a> autosampler&nbsp;</li></ul></li></ul></li><li><strong>Instrument dimensions&nbsp;</strong><ul><li><strong>Height:</strong> 49 cm (19.2 in)&nbsp;</li><li><strong>Width:</strong> 58 cm (22.9 in), 68 cm with side-mounted detector&nbsp;</li><li><strong>Depth</strong>: 54 cm (21.3 in)&nbsp;</li><li><strong>Typical weight</strong>: 51 kg (112 lb)</li></ul></li></ul><h3><strong>2. MDCW / Institut d’Investigació Sanitària Pere Virgili: GcDUO: A Batch Processing Framework Integrating PARAFAC and PARAFAC2 for GC×GC-MS Data Analysis</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_10_Llambrich_54914668f8.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The presentation introduces <strong>GcDUO</strong>, an open-source batch-processing framework developed for the analysis of comprehensive two-dimensional gas chromatography–mass spectrometry (GC×GC-MS) data. The tool was designed to address one of the main challenges in GC×GC-MS workflows: extracting meaningful chemical information from highly complex multidimensional datasets while reducing dependence on proprietary software. GcDUO combines the strengths of <strong>PARAFAC</strong> and <strong>PARAFAC2</strong> chemometric algorithms to perform automated peak detection, deconvolution, compound annotation, and quantification across large batches of samples.</p><p>The workflow begins with raw GC×GC-MS data imported from CDF files and converted into a four-dimensional matrix. Regions of interest (ROIs) are automatically selected using a watershed algorithm, allowing relevant chromatographic features to be isolated from the background. PARAFAC decomposition is then applied to separate overlapping compounds into their individual first-dimension retention times, second-dimension retention times, and mass spectra. Compound identification is performed using spectral similarity calculations, retention index information, and comparison against reference libraries, creating a consensus-based annotation strategy that improves confidence in identifications.</p><p>To further improve quantitative performance, GcDUO incorporates a constrained PARAFAC2 approach that can model chromatographic peak shifts between samples while preserving accurate peak integration. The framework was evaluated using benchmark GC×GC datasets containing fragrances, allergens, food-related compounds, and breath-analysis samples. Validation studies showed strong detection and annotation performance, including successful identification of most compounds in independent datasets such as FruityBeer and BreathMix. Quantitative comparisons with the widely used <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/41"><strong>ChromaTOF software</strong></a> demonstrated highly comparable retention times and peak areas for a range of volatile compounds, indicating that GcDUO can deliver results similar to established commercial platforms.</p><p>The authors conclude that GcDUO provides a powerful open-source alternative for GC×GC-MS data processing. The framework supports automated deconvolution, annotation, and quantification without requiring strict trilinearity assumptions often associated with traditional chemometric approaches. Although computational cost and user expertise remain important considerations, GcDUO offers performance comparable to gold-standard commercial software while expanding access to advanced GC×GC-MS data analysis for metabolomics, environmental, food, fragrance, and other analytical applications. The software is freely available through GitHub, supporting broader adoption and further development by the scientific community.</p><h3><strong>3. Shimadzu: Discrimination of Coffee Bean Species Based on Aroma Compounds</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01123_en_c8ac025ba9.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>Qualitative analysis of aroma compounds can be easily performed using the Smart Aroma Database.</li><li>Intuitive statistical analysis and exploration of characteristic compounds are possible using eMSTAT Solution.</li><li>The AOC -6000 multifunctional autosampler system enables the analysis of aroma compounds without sample pretreatment.</li></ul><p>Common coffee bean types are broadly classified into two types: Coffea arabica (Arabica) and Coffea canephora (Robusta). Among them, Arabica is superior in flavor and is highly favored as a specialty beverage. However, in recent years, there have been multiple reports of products sold claiming to be 100% Arabica while being adulterated with Robusta<sup>1)</sup>. A reported method for discriminating between the two is the analysis of lipophilic extracts of coffee beans using a benchtop NMR spectrometer<sup>1)</sup>. This method uses 16-O-Methylcafestol, which is present in Robusta but almost undetectable in Arabica, as a marker. However, it requires complicated pretreatment such as extraction and concentration.&nbsp;</p><p>Therefore, in this Application News, we investigated a method to discriminate between Arabica and Robusta more easily and rapidly using GC-MS/MS and the statistical analysis software eMSTAT Solution.</p><h5><strong>Sample and Analytical Methods&nbsp;</strong></h5><p>Commercially available coffee beans roasted at the same roastery were used as samples. Four brands of Arabica (Kilimanjaro, Brazil Bourbon, Mandheling G1, Brazil No.2 #18) and two brands of Robusta (Vietnam Robusta, Java Robusta) were prepared (Table 1). Each brand was individually crushed with a mill, and 1 g was weighed and sealed in a screw vial.</p><p>Volatile compounds were concentrated and introduced into the GC-MS using the HS-SPME method and then analyzed under the conditions registered in the GC-MS(/MS) Smart Aroma Database (Table 2). The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMSTQ8040+NX"><strong>GCMS-TQTM8040 NX</strong></a> and the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=AOC-6000"><strong>AOC-6000 multifunctional autosampler</strong></a> system were used as the analytical instruments (Fig. 1). To verify whether rapid analysis is possible, a temperature ramp of 10˚C/min was adopted, and a low-polarity column was used to obtain stable retention times for each compound. Data acquisition was performed in Scan mode or MRM mode, and each sample was analyzed three times.</p><h4><strong>Exploration of Characteristic Aroma Compounds for Arabica and Robusta&nbsp;</strong></h4><p>Next, we investigated which compounds contribute to the discrimination between Arabica and Robusta. The PCA score plot (Fig. 4) reflects the differences in the tendencies of each group, with Arabica distributed on the left side and Robusta on the right side, clearly separated along the first principal component (PC1) axis. Referring to the corresponding loading plot, compounds located on the left side of the origin tend to have higher area values in Arabica, which is also positioned on the left in the score plot. On the other hand, compounds on the right side tend to show higher values in Robusta, which is located on the right in the score plot. In other words, the difference in the balance of these compoundsisthe main factorseparating the two groups. First, Arabica was commonly rich in compounds such as 5-Methyl furfural, Acetoin, and Furaneol acetate. MS chromatograms analyzed using LabSolutions Insight GCMS are shown in Fig. 7. In eMSTAT Solution, not only score plots and loading plots but also box plots can be easily drawn, making it possible to easily visualize and compare the distribution tendencies of each compound. From the box plots of the above compounds (Fig. 8), it was visually confirmed that all of them are contained in abundance in Arabica. These compounds are sometimes described as having a roasted or creamy quality, and it can be inferred that this result supports the characteristics of Arabica, which issuperior in aroma and acidity.&nbsp;</p><p>On the other hand, a compound found in abundance in Robusta was p-Vinylguaiacol. This compound is known to cause an offflavor similar to a medicinal odor in sake, and its content was low in Arabica. From this, it was suggested that p-Vinylguaiacol may be one of the compounds contributing to the bitterness and offtastes characteristic of Robusta.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this Application News, we investigated the discrimination of coffee bean types based on aroma compounds using the triple quadrupole gas chromatograph mass spectrometer <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMSTQ8040+NX"><strong>GCMSTQ8040 NX</strong></a> and the GC-MS(/MS) <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Smart+Aroma+Database"><strong>Smart Aroma Database</strong></a> for aroma analysis.&nbsp;</p><p>Four types of Arabica and two types of Robusta were analyzed as samples. Analysis using Scan data confirmed a tendency for the two types to separate. Subsequently, data was acquired in MRM mode, which offers higher sensitivity and selectivity, and detailed analysis was performed using the statistical analysis software eMSTAT Solution. As a result, the two groups were clearly separated in PCA and cluster analysis, demonstrating the effectiveness of discrimination by this method. Additionally, a discrimination model was developed and validated, confirming that highly accurate discrimination is possible.&nbsp;</p><p>From the above results, we conclude that the discrimination of coffee beans by aroma compound analysisis highly feasible using this method. Furthermore, this method enables a comprehensive workflow, from discrimination to the identification of characteristic compoundsfor each type.</p><h3><strong>4. Waters Corporation: Improvements to the Analysis of PBDEs in Environmental Matrices: Transitioning from EI Magnetic Sector to GC-APCI TQ MS/MS</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009372_7abfa9f0e9.pdf"><strong>Full PDF for download</strong></a></li></ul><p>This poster evaluates the transition of polybrominated diphenyl ether (PBDE) analysis in environmental samples from traditional electron ionization high-resolution magnetic sector GC-MS to a modern <strong>GC-APCI triple quadrupole MS/MS (GC-APCI TQ MS/MS)</strong> workflow. PBDE flame retardants are highly regulated due to their environmental persistence and potential health risks, making accurate and reliable analytical methods essential. The study investigated whether a GC-APCI MS/MS approach could match or exceed the performance of established GC-HRMS methods while offering greater flexibility and modernization opportunities.</p><p>The method was developed on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/554"><strong>Waters Xevo TQ Absolute mass spectrometer</strong> </a>equipped with APCI ionization and an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>Agilent 8890 GC</strong></a>. A key innovation was the use of <strong>nitrogen as the carrier gas instead of helium</strong>, helping laboratories reduce dependence on helium supplies and mitigate increasing helium costs. By applying nitrogen flow ramping, the authors maintained chromatographic resolution and runtime comparable to the reference helium-based method without requiring changes in column dimensions. The approach also reduced the risk of thermal degradation of highly brominated compounds such as BDE 209 and achieved faster elution while preserving peak shape and separation quality.</p><p>For quantitative analysis, up to six MRM transitions per analyte were monitored, taking advantage of the characteristic isotope patterns of brominated compounds. The use of multiple transitions improved selectivity and sensitivity, while Waters waters_connect software enabled summation of MRM signals to enhance signal-to-noise ratios near detection limits. Excellent calibration performance was achieved across more than three orders of magnitude, with correlation coefficients above 0.999 for all analytes. Internal standards and recovery standards demonstrated strong reproducibility, and quality control samples showed precision typically below 15% RSD and acceptable accuracy across low, medium, and high concentration levels.</p><p>The authors conclude that an all-nitrogen GC-APCI TQ MS/MS configuration can successfully meet the performance criteria established for PBDE analysis by reference EI GC-HRMS methods. The workflow maintains critical chromatographic separations, delivers accurate quantitative results, and offers a platform that could potentially combine PBDE determination with other halogenated flame retardants in a single analytical method. These findings demonstrate that GC-APCI TQ MS/MS represents a robust and practical modernization strategy for environmental PBDE analysis.</p></div></div></div></div></div></div></section></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 25, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 15th June 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, Shimadzu </strong>and<strong> Thermo Fisher Scientific, </strong>technical note by<strong> KNAUER </strong>and brochure by <strong>Waters Corporation!</strong></p><h3><strong>1. Agilent Technologies: Large-Volume Dilute-and-Shoot Analysis of PFAS in Drinking Water Using the Altura PFAS Column</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_analysis_pfas_drinking_water_altura_5994_9186en_agilent_a66334e5b0.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Per‑ and polyfluoroalkyl substances (PFAS) are synthetic fluorinated compounds valued for their oil‑ and water‑repellent properties, but their environmental persistence and mobility have driven the development of increasingly stringent regulations for drinking water monitoring. Existing dilute-and-shoot methods, such as EPA 8327 and ASTM D7979, were originally designed for screening PFAS in nonpotable water. These methods typically rely on 10 to 30&nbsp;µL injection volumes, setting practical quantitation limits appropriately 10 ng/L.<sup>1,2&nbsp;</sup></p><p>We present a large‑volume injection workflow that extends the capabilities of these methods toward trace PFAS quantitation in drinking water. Using the Agilent 6495D triple quadrupole LC/MS (LC/TQ) coupled with a 1290 Infinity II LC, we achieved injections of 200 µL of methanol‑diluted water on the Altura PFAS column without requiring SPE concentration. The Altura PFAS column maintained peak symmetry and retention stability under these injection conditions. This configuration enabled a working calibration range of 0.25 to 25 ng/L, extending the low-end sensitivity substantially relative to published dilute-and shoot methods.<sup>1,2&nbsp;</sup></p><p>This performance enhancement simplifies operations by removing labor‑intensive extraction steps, while maintaining sensitivity required for regulatory guidelines thereby supporting high‑throughput PFAS workflows suitable for routine drinking water analysis. The PFAS compounds analyzed were PFBS, HFPO-DA, PFHpA, PFHxA, PFHxS, PFOA, PFOS, PFNA, and PFDA. These compounds were selected due to their relevance to ongoing regulatory actions and proposed maximum contaminant level (MCL) considerations for drinking water.&nbsp;</p><p>Specific highlights of this experiment include:&nbsp;</p><ul><li>Minimized peak tailing and solvent effects with 200 µL injections water/methanol (1:1) injections.</li><li>Increased throughput by elimination of solid phase extraction (SPE).&nbsp;</li><li>Enhanced sensitivity of 6495D LC/TQ at low end (0.25&nbsp;ng/L) for the dilute-and-shoot method in drinking&nbsp;water.</li></ul><h4><strong>Experimental&nbsp;</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=+1290+Infinity+II"><strong>Agilent 1290 Infinity II LC</strong></a> coupled to <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6495D"><strong>Agilent 6495D LC/TQ system</strong></a> was utilized for the LC/MS/MS analysis. An Infinity&nbsp;II multisampler with an extended multidraw capillary tube (G7137-68307) was connected to the needle seat and injection valve with a union for large volume injection (200&nbsp;µL). The data were acquired with MassHunter acquisition software version 12.2. All LC/MS parameters are shown in Table 1 and 2. PFAS multiple reaction monitoring (MRM) transition methods were imported from the PFAS MRM database (G1736AA) while labelled homologues were optimized to obtain correct MRM transitions (Table 3).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study demonstrates a practical large‑volume dilute-and-shoot workflow for the determination of PFAS in drinking water using the Agilent 1290 Infinity II LC coupled to the 6495D triple quadrupole LC/MS, and Agilent Altura Poroshell PFAS column. With 200 µL water samples diluted in methanol can be injected directly, eliminating the need for SPE concentration and significantly reducing sample preparation time. This method exhibits good sensitivity, accuracy, and reproducibility. The Altura PFAS column maintained consistent peak performance and retention stability even at low sub‑ppt concentrations, supporting long‑term reliability for trace‑level PFAS monitoring. Overall, the findings highlight the method potential to support routine, high‑sensitivity PFAS monitoring in drinking water laboratories.</p><h3><strong>2. KNAUER: Size matters - How to perform narrow calibration using the ClarityChrom® GPC Extension</strong></h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/VTN_0049_knauer_size_matters_how_to_perform_narrow_calibration_using_the_claritychrom_gpc_extension_3cfdc7a45b.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Gel Permeation Chromatography (GPC), also known as Size Exclusion Chromatography (SEC), is a separation technique that separates molecules based on their hydrodynamic size rather than chemical interactions. In a GPC column, separation is based on the ability of molecules to access the pores of the stationary phase. Smaller molecules can penetrate these pores and therefore spend more time inside the column, resulting in a delayed elution. Larger molecules, on the other hand, cannot enter the pores and pass through the column more quickly, leading to earlier elution.&nbsp;</p><p>As a result, molecules are separated by size in solution, providing the basis for the determination of molecular weight and molecular weight distributions. Calibration is therefore a fundamental requirement for ensuring the accuracy and reliability of the results. The ClarityChrom® GPC Extension enables users to efficiently create and apply different calibration models for precise analysis. The workflow presented here focuses on narrow calibration using standards with defined molecular weights and low polydispersity (PD ≈ 1).</p><h4><strong>Material and Methods</strong></h4><ul><li><strong>Software&nbsp;</strong><ul><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=503&amp;search=ClarityChrom"><strong>ClarityChrom</strong></a>® 10.1 - station single instrument license one time base</li><li>ClarityChrom® 10.1 - GPC license for GPC data processing &nbsp;</li></ul></li><li><strong>Pump: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2372"><strong>AZURA P 6.1L isocratic HPLC pump</strong></a> with 10 ml pump head for normal phase applications, stainless steel&nbsp;</li><li><strong>Degasser: </strong>Analytical 2 channel GPC degasser&nbsp;</li><li><strong>Autosampler:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2375"><strong>AZURA® AS 6.1L</strong></a>, analytical HPLC autosampler, 862 bar&nbsp;</li><li><strong>Detector:</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2429"><strong>AZURA® RID 2.1L</strong></a>, analytical refractive index detector&nbsp;</li><li><strong>Thermostat: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2376"><strong>AZURA® CT 2.1</strong></a> ATC00 Capillaries Start-Up Kit with flexible, precut capillaries for analytical HPLC systems with 1/16" connections</li></ul><h4><strong>Conclusion</strong></h4><p>This technical note demonstrates how to successfully create and apply a narrow calibration using the ClarityChrom® GPC Extension. By following the outlined workflow, users can ensure reliable calibration and determination of molecular weight and molecular weight distributions. The described approach supports consistent and reproducible results, making it a valuable tool for routine GPC/SEC analysis. For further optimization and advanced applications, additional related technical and application notes can be consulted.</p><h3><strong>3. Shimadzu: UHPLC Method for Sensitive Automatic Analysis of Thirty-Seven D/L-Amino Acids and for Liquor Profiling</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_01169_en_2dab331398.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>Enables high-sensitivity simultaneous fast analysis of thirty-seven D/L-amino acids using simple operations.</li><li>Good reproducibility of analytical results can be achieved by keeping the derivatization reaction time constant.</li><li>Statistical analysis software enables easy multivariate analysis of multiple samples.</li></ul><p>Recent advances in analytical techniques have revealed the presence of D-amino acids in fermented foods and biological samples and clarified their role in the taste, preservation, and aroma of foods , and as potential disease biomarkers. Therefore, the demand for D/L separation of amino acids is increasing. Because D-amino acids are only present in trace amounts in fermented foods and biological systems, unlike L-amino acids, it is necessary to determine the concentration of each D-amino acid by separating them from the high concentrations of Lamino acids.&nbsp;</p><p>A comprehensive method for quantitating the thirty-seven D/Lamino acids was previously reported1), in which two chiral derivatizing reagents were employed to provide different diastereomers for each amino acid, with the instrument automatically switching between two separation methods to analyze each sample twice.&nbsp;</p><p>This article introduces an improved method that employs a single chiral derivatizing reagent to enable simultaneous analysis of D/L-amino acidsin a shorter time.</p><h4><strong>D/L-Amino Acid Analysis by UHPLC&nbsp;</strong></h4><p>In general, LC/MS or multi-dimensional LC is used to analyze D/L-amino acids by HPLC, because it is difficult to separate proteinogenic D/L-amino acids with a single separation mode. However, it is known that LC/MS is susceptible to matrix effects and less quantitative than HPLC. It is also known that the multidimensional LC method requires a long analysis time and very complicated HPLC setup. Therefore, a simple operational method that provides good separation for D/L-amino acids in a short time is needed.&nbsp;</p><p>For food analysis, a small particle column is used to achieve appropriate separation of the small amounts of D-amino acids from the large amounts of L-amino acids and co-existing contaminants. A <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=X3"><strong>UHPLC system (Nexera X3</strong></a>) was employed in this study due to the increased system pressure caused by the use of a small particle column.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>A method was developed for simultaneous separation of OPA/NIBC diastereomers for thirty-seven D/L-amino acids using a simple UHPLC system in approximately half the time of the conventional methods. By optimizing the derivatization reaction, all compounds were determined sensitively, accurately, and precisely. Separation of the target compounds from the contaminants was good in the liquor samples when evaluated using real liquor samples. It is expected to be easily applicable to D/L-amino acid profiling in food and beverage samples without using expensive MS detection or complicated multidimensional HPLC configurations as long as samples are prepared properly. Moreover, D/L-amino acid profiling could be used to research and develop foods containing D-amino acids intended to help to maintain and improve the intestinal environment, and could help in the early detection of diseases and determining optimal treatment strategies through biomarker discovery</p><h3><strong>4. Thermo Fisher Scientific: Screening of per- and polyfluoroalkyl substances (PFAS) in cosmetics: Utilizing a new combustion-ion chromatography system for total organic fluorine (TOF) analysis</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ap_004098_ic_systems_combustion_ic_environmental_ap004098_na_en_a3a1d33a24.pdf"><strong>Full PDF for download</strong></a></li></ul><p>This application note describes a method for <strong>screening per- and polyfluoroalkyl substances (PFAS) in textiles</strong> using total organic fluorine (TOF) analysis by combustion-ion chromatography (C-IC). PFAS are widely used in textiles to provide water, oil, and stain resistance, but increasing concerns about their environmental persistence and potential health effects have led to stricter regulations worldwide. California’s AB 1817 legislation, for example, limits TOF concentrations in textiles to 100 ppm beginning in 2025 and 50 ppm by 2027, creating a need for reliable analytical methods capable of assessing PFAS content in textile products.</p><p>The study evaluates a new <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2150"><strong>Thermo Scientific Cindion Combustion Ion Chromatography System</strong></a>, which combines a Dionex Inuvion IC system with a Cindion combustion/absorption module. The system features an optimized Z-fold combustion tube design that improves combustion efficiency, shortens analysis time, reduces instrument footprint, and allows complete control through Chromeleon software. Unlike surface-sensitive techniques such as PIGE, the combustion-IC approach analyzes the entire sample, providing results that are independent of sample thickness. The method measures total fluorine (TF) after combustion and total inorganic fluorine (TIF) by direct IC analysis, with TOF calculated as the difference between TF and TIF.</p><p>To validate the approach, six textile samples representing waterproof and stain-resistant consumer products were analyzed and compared with results previously obtained using a Nittoseiko combustion-IC system. TOF concentrations ranged from approximately 1 ppm in one nylon fabric to nearly 375 ppm in a polyester baby bib. The values generated by the new Cindion system showed excellent agreement with the reference system, achieving between 100% and 105% of the previously reported results. Reproducibility was also strong, with relative standard deviations below 8% for all samples.</p><p>The authors conclude that the new Cindion C-IC platform provides an accurate, reliable, and efficient solution for PFAS screening in textiles. In addition to matching the performance of the established combustion-IC method, the enhanced system offers a flexible “2-in-1” configuration that allows seamless switching between combustion-IC and standalone IC operation. This improves workflow efficiency, reduces manual intervention, and provides manufacturers and testing laboratories with a practical tool for monitoring compliance with evolving PFAS regulations in textile products.</p><h3><strong>5. Waters Corporation: Advanced Acquisition Modes for the </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2433"><strong>Xevo MRT P10 Mass Spectrometer</strong></a></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009362_9baa39e7de.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><p>The Waters solution sheet introduces the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2433"><strong>Xevo MRT P10 Mass Spectrometer</strong>,</a> a next-generation high-resolution mass spectrometer designed to provide significantly greater analytical depth, sensitivity, and flexibility for modern omics workflows. Compared with the previous Xevo MRT platform, the instrument delivers a reported <strong>20-fold increase in MS/MS sensitivity</strong>, incorporates Wideband Enhanced Duty Cycle (WB EDC) technology, and supports ultrafast acquisition rates of up to <strong>100 Hz for MS data</strong> and <strong>200 Hz for MS/MS data</strong>. These performance improvements are intended to enhance the detection of low-abundance compounds while maintaining high-quality spectral information across complex biological samples.</p><p>A major focus of the document is the introduction of the new <strong>SONAR Pulse Acquisition Mode</strong>, an advanced data-independent acquisition (DIA) approach. SONAR Pulse improves selectivity by rapidly stepping a quadrupole isolation window across a defined precursor mass range, allowing fragment ions to be associated with narrower precursor windows than in conventional DIA experiments. This strategy reduces spectral complexity, improves confidence in compound identification, and increases the likelihood of detecting low-level analytes that might be missed by traditional data-dependent acquisition (DDA) methods. The method supports precursor and product ion scans up to m/z 2000, multiple quadrupole isolation window sizes, acquisition speeds up to 200 Hz, and full compatibility with WB EDC technology.</p><p>The second major innovation described is <strong>Mixed Mode Acquisition</strong>, a hybrid workflow that combines targeted and untargeted analysis within a single injection. In this approach, high-sensitivity <strong>Tof MRM</strong> quantification is performed simultaneously with untargeted DIA (MSE) acquisition. This enables users to obtain quantitative data for predefined targets while also collecting comprehensive full-scan information for discovery and screening purposes. The workflow integrates seamlessly with Waters software tools, allowing targeted quantification through the MS Quan application and untargeted analysis through UNIFI or export to open data formats such as mzML for processing in third-party software packages including MZmine, MS-DIAL, DIA-NN, PEAKS, and Progenesis QI.</p><p>According to Waters, both acquisition strategies are designed to maximize information obtained from each sample injection. SONAR Pulse emphasizes deeper molecular coverage, improved selectivity, and simplified interpretation of complex DIA datasets, while Mixed Mode provides a unified quantitative–qualitative workflow that combines targeted measurement and discovery screening without compromising sensitivity or acquisition speed. Together, these capabilities position the Xevo MRT P10 as a versatile platform for metabolomics, lipidomics, proteomics, and other multiomics applications where both comprehensive characterization and accurate quantification are required.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 25, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 15th June 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY 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://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you technical note by <strong>Agilent Technologies</strong>, application note by <strong>Shimadzu </strong>and other document by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Smooth Migration from Single Quadrupole ICP-MS to the </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP-QQQ</strong></a></h3><p><strong>Automated method transfer using the Batch Conversion Tool of Agilent OpenLab ICP-MS software</strong></p><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_batch_conversion_tool_9500_icp_ms_5994_9214en_agilent_0a1bba76e2.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Transitioning from a single quadrupole (SQ) ICP-MS to a triple quadrupole ICP-MS (ICP-QQQ) might appear daunting or disruptive, usually requiring the redevelopment of analytical methods and workflows. Users often wonder if they can reuse existing batches and whether routine processes will be interrupted during this switch.&nbsp;</p><p>Switching from SQ ICP-MS to the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP-QQQ</strong></a> involves minimal disruption. Agilent provides a solution that enables smooth, automated transfer of existing SQ ICP-MS methods to the 9500 ICP-QQQ, all while preserving the current batch logic and analytical purpose.</p><p>This note explains how the Batch Conversion Tool in Agilent OpenLab ICP-MS software facilitates automated batch conversion. It allows users to seamlessly transition from SQ ICP-MS to the 9500 ICP-QQQ without needing to rebuild methods or alter their existing workflows.&nbsp;</p><p>Three key aspects of method migration are addressed in this document:&nbsp;</p><ul><li>The design concept and conversion behavior of the Batch Conversion Tool, detailing which batch elements are preserved or adapted during conversion.&nbsp;</li><li>It also explains the rationale behind the available conversion options and how the advanced cell technologies of the 9500, such as Advanced Helium Mode (AHM) and Air cell mode, support operational continuity and potential performance improvements after migration.&nbsp;</li><li>Additionally, it outlines a typical end-to-end migration workflow, including methods for reviewing the postconversion process and assessing data quality using built-in indicators.&nbsp;</li></ul><p>These points collectively show that switching from SQ ICP-MS to the 9500 ICP-QQQ can be seamless. They also illustrate how to carry out method transfer in a controlled and transparent manner, providing a practical framework for refining the method when necessary.</p><h4><strong>What is the Batch Conversion Tool?&nbsp;</strong></h4><p>The Batch Conversion Tool is a feature of OpenLab ICP-MS software that transforms batches created for Agilent SQ ICP-MS systems into formats compatible with the 9500 ICP-QQQ (see Figure 1).&nbsp;</p><p>Batches made for <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7700"><strong>Agilent 7700</strong></a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7800"><strong>7800</strong></a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7850"><strong>7850</strong></a>, and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7900"><strong>7900 </strong></a>ICP-MS instruments using Agilent ICP-MS MassHunter or OpenLab ICP-MS software can be imported and converted. During this process, the tool applies predefined rules to produce a batch suitable for the 9500, all while maintaining the original batch setup.&nbsp;</p><p>These conversion rules are based on Agilent’s over 10 years of experience in ICP-QQQ development and applications. By harnessing this expertise, the Batch Conversion Tool automatically implements optimal measurement conditions and reaction strategies for each analyte, ensuring strong interference control and consistent analytical performance post-migration.</p><p>Manually recreating batch components like element selections, isotope settings, and QC configurations can be time-consuming. Alternatively, the Batch Conversion Tool automates this process, usually finishing within seconds.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The Batch Conversion Tool in Agilent OpenLab ICP-MS software allows for easy, automated transfer of existing SQ ICP-MS batches to the Agilent 9500 ICP-QQQ, without affecting current analytical workflows.&nbsp;</p><p>By maintaining batch structure and analytical intent, users can switch to the 9500 ICP-QQQ without needing to rebuild methods or disrupt daily operations. The tool also offers structured conversion options to help users harness the advanced features of the 9500 platform.&nbsp;</p><p>Additionally, migration from non-Agilent ICP-MS systems can be streamlined through element list import via the Method Advisor, providing an efficient way to create methods when transitioning to Agilent equipment. Overall, moving from SQ ICP-MS to the 9500 ICP-QQQ is a smooth, controlled process that ensures continuity and offers opportunities for method enhancement.</p><h3><strong>2. Shimadzu: Static Puncture Strength of Geotextile Products Usinga 50mmProbe</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_07_2603_en_2470aa6ee5.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Geotextiles are permeable geosynthetic materials, typically made from polypropylene or polyester, available in woven and non-woven forms. They provide separation, filtration, drainage, and reinforcement, improving soil stability, load distribution, and the durability of infrastructure such as roads, railways, embankments, landfills, and retaining structures.&nbsp;</p><p>During transportation, installation, and service geotextiles can be exposed to concentrated loads and sharp objects which can reduce the effectiveness of materials therefore puncture resistance is a critical parameter for evaluating geotextile durability. The puncture resistance of geotextiles are commonly determined as per ASTM D62411) and ISO 122362), which measures the force required to penetrate the fabrics using a standard plunger. Overall, puncture resistance testing plays a vital role in ensuring the long-term durability and reliability of geotextilesin demanding engineering applications.&nbsp;</p><p>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=AGS-X2"><strong>Shimadzu AGS-X2 series Universal Testing Machine </strong></a>is a high-precision universal testing system designed for accurate evaluation of mechanical properties such as tensile, compression, and puncture resistance. It features advanced control technology, high data acquisition rates, and reliable load measurement, ensuring consistent and reproducible results. The system is operated using TRAPEZIUMX-V software, enabling efficient test control, data acquisition, and analysis that complies with national and international standards.</p><h4><strong>2. Test Method&nbsp;</strong></h4><p>The test was conducted on the non-woven geotextile using the AGS-50kNX2D UTM, shown in the Figure 1. Two different samples (1000 and 400 GSM) were procured from the market and five specimens were prepared from various areas of each sample. Table 1 shows testing apparatus and test conditions and Figure 2 shows the typical clamping and loading system.</p><h4><strong>4. Conclusion</strong></h4><p>The test results are consistent across multiple specimens and exhibit gradual deformation behavior. This indicates that the material can withstand high penetration forces without sudden failure, demonstrating its ability to effectively resist localized stresses.&nbsp;</p><p>Geotextiles are available in different GSM values, representing mass per unit area and directly influence their mechanical and physical performance. Lower GSM geotextiles are lighter, flexible and lower thickness making them suitable for applications involving moderate loads. In contrast higher GSM geotextiles are thicker and denser, offering significantly higher puncture resistance and making them suitable for heavy duty applications.&nbsp;</p><p>The Shimadzu’s universal testing machine AGS-X2 series demonstrated accurate, stable, and repeatable performance for conducting puncture resistance testing in accordance with ASTM D6241 and ISO 12236. The system provided precise control of crosshead speed, reliable load measurement, and clear identification of the initial peak load as required by the standard. The high-resolution load–displacement data acquisition enabled accurate determination of puncture strength and displacement at maximum force. Overall, the Shimadzu system ensures compliance with ASTM D6241 and ISO 12236 requirements and offers a dependable solution for quality control, research, and material comparison of geotextiles.¨</p><h3><strong>3. Thermo Fisher Scientific: Small parts analysis with the Niton Apollo LIBS Analyzer</strong></h3><ul><li>Other document (Smart note)</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/small_parts_analysis_with_the_niton_apollo_libs_analyzer_sn1608_en_c69d4c0695.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Small parts and precision components are critical to product quality and safety. Their limited surface areas and complex geometries make them some of the most challenging items to analyze accurately. Traditional optical emission spectroscopy (OES) delivers excellent accuracy but often lacks the portability needed for challenging environments.&nbsp;</p><p>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2000"><strong>Thermo Scientific™ Niton™ Apollo™ Handheld Laser-Induced Breakdown Spectroscopy (LIBS) Analyzer</strong></a> changes the equation by delivering accurate analysis of steel and stainless steel in a portable format.</p><h4><strong>A lower cost of ownership, with repeatability and reliability you can trust&nbsp;</strong></h4><p>For industries where a single incorrect part can have significant consequences, consistency is crucial. The Apollo analyzer delivers the dependable features you need, in a unit designed to save users time and money over the long term:&nbsp;</p><ul><li><strong>Carbon detection</strong> – Detects carbon for equivalent carbon content (C.E.) for welding &amp; L/H grade ID of stainless steel&nbsp;</li><li><strong>Efficient argon use</strong> – Optimized purge minimizes gas consumption.&nbsp;</li><li><strong>Reduced downtime</strong> – Portable OES-like accuracy eliminates long lab lead time.</li><li><strong>Rugged durability</strong> – Field-ready build lowers repair and replacement costs.&nbsp;</li><li><strong>Ease of training</strong> – Intuitive interface reduces errors and onboarding costs.</li><li><strong>Designed to perform</strong> – Reliable data across a wide range of finishes and geometries&nbsp;</li></ul><p>By combining technical performance with durability and efficiency, the Apollo analyzer delivers the lowest total cost of ownership in its class.&nbsp;</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The Niton Apollo LIBS analyzer sets the standard for small parts analysis. With its unique argon seal and updated small nose design, it delivers repeatable, OES-like accuracy unmatched by any other handheld LIBS device for the analysis of steel and stainless-steel including carbon. Add in a lower total cost of ownership, and the Apollo analyzer becomes the clear choice for manufacturers and inspectors who demand precision, reliability, and value.</p>

News from LabRulezICPMS Library - Week 25, 2026

Tracking Microplastics and Their Associated Chemical Additives in Plant Tissues: A Pyrolysis GC-MS Approach to Identification, Quantification, and Translocation Mechanism

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Tracking Microplastics and Their Associated Chemical Additives in Plant Tissues: A Pyrolysis GC-MS Approach to Identification, Quantification, and Translocation Mechanism

News from LabRulezICPMS Library - Week 25, 2026

News from LabRulezLCMS Library - Week 25, 2026

News from LabRulezGCMS Library - Week 25, 2026

A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics

Benchmarking Lysosome Enrichment Methods: A Guide for Research and Clinical Translation

Developing Quick Screening Method to Identify Rice Cultivars with Unique Aromatic Features

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