<p><strong>In the week of September 21, 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>6 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Waters Corporation: Strengthening SPE Workflows for Today’s Laboratory</strong></h5><ul><li>Mo, 21.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6514">Registration</a></li></ul><p>Learn how to optimize SPE workflows with best practices for sorbent selection, recovery troubleshooting, and reducing matrix effects in modern analytical laboratories.</p><h5><strong>2. Agilent Technologies: From Crude to Candidate: Scaling Preparative Chromatography with Confidence</strong></h5><ul><li>Mo, 21.9.2026 18:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6498">Registration</a></li></ul><p>Learn how to scale preparative chromatography from crude sample to purified candidate, with practical strategies for method development, fraction collection, and method transfer.</p><h5><strong>3. SCIEX: Extending the power of LC MS/MS: advanced workflows with QTRAP®</strong></h5><ul><li>Tu, 22.9.2026 14:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6518">Registration</a></li></ul><p>Discover how MRM³ and QTRAP workflows provide greater selectivity and lower limits of quantification for LC-MS/MS analysis in complex matrices.</p><h5><strong>4. Technology Networks: Improving Efficiency in Routine PFAS Analysis Using EPA Methods 533 and 1633A</strong></h5><ul><li>Tu, 22.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6517">Registration</a></li></ul><p>Explore how automated QC monitoring and the SCIEX novus V55 system support high-throughput PFAS quantitation using EPA Methods 533 and 1633A.</p><h5><strong>5. Phenomenex: Expanding the Evidence: New Data for More Reliable PFAS Analysis</strong></h5><ul><li>We, 23.9.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6522">Registration</a></li></ul><p>Discover how new analytical data and contamination control strategies can improve baseline performance, sensitivity, and reliability in PFAS analysis.</p><h5><strong>6. SCIEX: How is capillary electrophoresis being used to analyze DNA and RNA</strong></h5><ul><li>We, 23.9.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6521">Registration</a></li></ul><p>Explore how capillary electrophoresis supports DNA and RNA analysis, from plasmid quality assessment to mRNA impurity profiling, viral vector characterization, and oligonucleotide workflows.</p><h5><strong>7. Thermo Fisher Scientific: A novel monodisperse supermacroporous reversed-phase platform for comprehensive nucleic acid analysis across a broad size range</strong></h5><ul><li>We, 23.9.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6476">Registration</a></li></ul><p>Discover how a novel monodisperse supermacroporous reversed-phase platform enables comprehensive nucleic acid analysis across a broad size range, from short oligonucleotides to mRNA.</p><h5><strong>8. Waters Corporation: The Next Frontier in Nitrosamines Testing: Detection and Risk Assessment in Packaging and IV Infusion Bags</strong></h5><ul><li>We, 23.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6520">Registration</a></li></ul><p>Learn how LC-MS/MS supports nitrosamine detection and risk assessment in packaging materials while addressing extractables and leachables challenges in IV infusion bags.</p><h5><strong>9. MDPI: Membrane Technologies for Water and Food Sustainability</strong></h5><ul><li>We, 23.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6561">Registration</a></li></ul><p>Explore membrane technologies for water and food sustainability, international research collaboration, and opportunities within the CYTED Program.</p><h5><strong>10. Agilent Technologies: Unlocking Lab Productivity: Automation Opportunities for LC/MS Laboratories</strong></h5><ul><li>We, 23.9.2026 18:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6495">Registration</a></li></ul><p>Discover how automation can increase productivity in LC/MS laboratories by reducing manual tasks, improving workflow efficiency, and supporting scalable analytical operations.</p><h5><strong>11. Thermo Fisher Scientific: Comparison of biocompatible and inert UHPLC systems for LC-UV quantitation of large RNA</strong></h5><ul><li>Th, 24.9.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6477">Registration</a></li></ul><p>Learn how the Vanquish Amplify system minimizes metal interactions during LC-UV analysis of large RNA and explore the performance of biocompatible and inert UHPLC systems.</p><h5><strong>12. Agilent Technologies: Next-Generation Pathogen Genomics: The Long-Read Advantage</strong></h5><ul><li>Th, 24.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6526">Registration</a></li></ul><p>Explore long-read sequencing and automated target enrichment in pathogen genomics and learn how Agilent SureSelect and Magnis NGS support improved pathogen detection.</p><h5><strong>13. Evosep Biosystems: Advancing Plasma Proteomics</strong></h5><ul><li>Th, 24.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6523">Registration</a></li></ul><p>Discover advances in plasma proteomics and learn how high-throughput analytical workflows can accelerate biomarker discovery and cancer research.</p><h5><strong>14. Waters Corporation: Applications of Multi-Angle Light Scattering for Biotherapeutic Characterization</strong></h5><ul><li>Th, 24.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6430">Registration</a></li></ul><p>Learn how multi-angle light scattering (MALS) supports confident characterization of monoclonal antibodies, antibody-drug conjugates, and AAV viral vectors.</p>

Webinars LabRulezLCMS Week 39/2026

Forced degradation analysis of recombinant adeno-associated virus serotype 8 based on analytical anion exchange chromatography coupled to orthogonal characterization

<p><strong>NIST26 introduces integrated chromatogram processing, deconvolution, and library searching for EI GC-MS and LC-MS/MS data, but the workflow begins with one essential requirement: chromatographic data must be available in the mzML format. In his presentation </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/Conversion_to_mz_ML_63e134bb34.pdf"><i><strong>Conversion to mzML Format for NIST26 Chromatogram Processing</strong></i></a><strong>, James Little of Mass Spec Interpretation Services explains how vendor data can be converted to mzML using either instrument-vendor software or the freely available MSConvert tool from ProteoWizard, and highlights several settings that are critical for successful processing in NIST26.</strong></p><h4><span><strong>NIST26 Chromatogram processing requires mzML</strong></span></h4><p>For the chromatogram-processing workflow described in the presentation, <strong>mzML is the accepted input format</strong>. Proprietary LC-MS or GC-MS data therefore need to be converted before they can be loaded into the NIST26 chromatogram-processing environment.</p><p>There are two principal ways to obtain an mzML file:</p><ul><li>conversion using software supplied by the instrument manufacturer,</li><li>conversion using <strong>MSConvert</strong>, which is included in the free <strong>ProteoWizard</strong> software package.</li></ul><p>Using an open format such as mzML also provides a practical way to move mass spectrometry data between different software environments without relying exclusively on proprietary vendor formats.</p><h4><span><strong>Using ProteoWizard and MSConvert</strong></span></h4><p>MSConvert is installed as part of the complete ProteoWizard package rather than as a separate application. After installing ProteoWizard, users can access either the graphical MSConvert interface or the command-line version.</p><p>The presentation recommends the stable release for routine work, while noting that newer or nightly builds may sometimes provide improved support for recently introduced vendor formats or additional control over data-processing filters. This can be particularly relevant when handling vendor files in which centroiding behavior or peak picking requires closer attention.</p><p>For most users, the graphical interface provides a straightforward route from proprietary raw data to an mzML file suitable for further NIST26 processing.</p><h4><span><strong>Start by selecting mzML as the output format</strong></span></h4><p>The first step in MSConvert is to select the source file or dataset using the <strong>Browse</strong> function.</p><p>The software supports a broad range of mass spectrometry data formats, and the file-selection window can either be restricted to a particular vendor format or set to display any supported spectral format.</p><p>After selecting the source data, the output format must be set to <strong>mzML</strong>. The screenshots in the presentation show this setting directly in the MSConvert options panel before the conversion is started.</p><p>The user can also select the destination folder and other file-output options before adding the selected dataset to the conversion queue.</p><h4><span><strong>Add the data and start the conversion</strong></span></h4><p>Once the source file and output settings have been selected, the file is added to the conversion list using the <strong>Add</strong> command.</p><p>The conversion itself is then launched with <strong>Start</strong>.</p><p>For simple datasets that are already stored in the correct spectral representation, this may be all that is required. However, James Little emphasizes an additional requirement that is particularly important for NIST26: the data must be <strong>centroided</strong>.</p><h4><span><strong>Centroided data are required</strong></span></h4><p>According to the presentation, <strong>profile-mode data are not acceptable for this NIST26 chromatogram-processing workflow</strong>. The spectra must instead be in centroided, or peak-picked, form.</p><p>Profile spectra contain the full measured shape of each mass spectral signal across the m/z axis. Centroided data reduce these profiles to discrete peaks represented by their characteristic m/z and intensity values.</p><p>If the original vendor data are still in profile mode, centroiding can be performed during conversion by adding the <strong>Peak Picking</strong> filter in MSConvert.</p><p>This means that the conversion step can perform two operations at once:</p><p><strong>vendor raw data → centroiding / peak picking → mzML</strong></p><p>The resulting mzML file can then be used as input for NIST26 chromatogram processing.</p><h4><span><strong>Peak Picking must be the first filter</strong></span></h4><p>One of the most important practical details in the presentation is the position of the Peak Picking operation in the MSConvert filter sequence.</p><p>If centroiding is required, <strong>Peak Picking must be the first algorithm or filter in the list</strong>. Placing another processing function before it can interfere with the intended conversion workflow.</p><p>MSConvert allows the user to select the Peak Picking filter, define the relevant MS levels, and add it to the processing sequence before starting conversion. The example shown in the presentation applies vendor-based peak picking to selected MS levels.</p><p>If there is uncertainty about whether the source data are already centroided, the Peak Picking filter can still be included. According to the presentation, applying it to data that are already centroided does not alter the file unnecessarily.</p><p>This provides a useful safeguard when the acquisition mode of an older dataset is uncertain.</p><h4><span><strong>Selecting the appropriate MS levels</strong></span></h4><p>Peak picking does not necessarily have to be applied identically to every spectrum in a dataset. MSConvert allows users to specify the <strong>MS levels</strong> to which the filter should be applied.</p><p>This is especially relevant for LC-MS/MS data, where a file can contain both precursor-level MS spectra and tandem MS spectra.</p><p>The conversion settings should therefore reflect the way the original data were acquired and how those data will subsequently be processed in NIST26.</p><h4><span><strong>Be aware of changes in file size</strong></span></h4><p>The presentation also notes that converted files may become substantially different in size from the original vendor files.</p><p>This is worth considering when working with large LC-MS/MS datasets or processing batches of chromatograms. The size of the resulting mzML file can depend on the original acquisition mode, centroiding, compression settings, the number of MS levels, and other output parameters.</p><p>Storage requirements should therefore be considered before converting large collections of raw data.</p><h4><span><strong>A simple workflow for preparing data for NIST26</strong></span></h4><p>The overall procedure presented by James Little can be summarized as a short sequence:</p><ol><li>Obtain the original vendor LC-MS or GC-MS data.</li><li>Open the data in MSConvert or use the vendor's own conversion software.</li><li>Select <strong>mzML</strong> as the output format.</li><li>Check whether the spectra are centroided.</li><li>If necessary, add <strong>Peak Picking</strong> as the first processing filter.</li><li>Select the appropriate MS levels.</li><li>Add the file to the conversion list.</li><li>Start the conversion.</li><li>Use the resulting mzML file for NIST26 chromatogram processing.</li></ol><p>The procedure itself is straightforward, but the centroiding requirement is important. A file can have the correct <code>.mzML</code> extension and still be unsuitable for the workflow if its spectra remain in profile mode.</p><h4><span><strong>From vendor data to integrated NIST26 processing</strong></span></h4><p>File conversion may appear to be a relatively minor step compared with deconvolution, spectral interpretation, and library searching, but it establishes the foundation for the entire downstream workflow.</p><p>By using mzML as the common input format, NIST26 can process data originating from different instrument platforms through a more consistent workflow. ProteoWizard and MSConvert provide a practical bridge between proprietary mass spectrometry files and this standardized format.</p><p>The key message from the presentation is therefore simple: <strong>convert to mzML, ensure the spectra are centroided, and place Peak Picking first whenever centroiding is required</strong>. Once those conditions are met, the data are ready for the integrated chromatogram-processing and library-searching capabilities available in NIST26.</p>

Conversion to mzML Format for NIST26 Chromatogram Processing

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