Modernizing Routine HPLC Methods: Aligning Productivity, Compliance, and Sustainability

<h3><strong>How to Easily Adapt Your Existing HPLC Methods</strong></h3><p>Developing and optimizing an HPLC method is essential for achieving reliable separations, accurate quantification, and reproducible analytical results. As chromatography technology advances, one of the most common optimization strategies is transferring established methods to modern columns with smaller dimensions.</p><p>Although the benefits are clear, many analysts hesitate when it comes to modifying a validated method.</p><blockquote><p>Questions quickly arise: <i><strong>How should the flow rate be adjusted? What injection volume is appropriate? Does the gradient need to be recalculated? Will the retention times change?</strong></i></p></blockquote><p>Even with the necessary equations available, performing all these calculations manually can be time-consuming and prone to errors. Instead of simplifying the workflow, method transfer often becomes an unnecessary obstacle.</p><p>Fortunately, there is an easier solution.</p><h4><strong>Simplify Your HPLC Method Transfer</strong></h4><p>Moving an existing method to a different column does not have to be complicated.</p><p>The <strong>KNAUER HPLC Method Converter</strong> is designed to automate the calculations required for method transfer. Simply enter the parameters of your current method, including the original column dimensions, and specify the dimensions of the new column—length, internal diameter, and particle size. The software instantly calculates the recommended flow rate and injection volume for the new conditions.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_7f7c19f7a3.webp" alt="KNAUER: HPLC Method Converter" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_7f7c19f7a3.webp 210w," sizes="100vw" width="1022" height="759"></p><p>The next step is equally straightforward. Copy the original <strong>gradient profile</strong> into the converter, and the <strong>software automatically generates the corresponding gradient program for the new column</strong>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_2_8ba46e78bc.webp" alt="KNAUER: HPLC Method Converter - Gradients" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_2_8ba46e78bc.webp 195w," sizes="100vw" width="1440" height="1150"></p><p>For even greater confidence, the converter also allows you to <strong>enter chromatographic peak information</strong>. Based on these data, it <strong>predicts the expected retention times</strong> under the new conditions. While experimental verification on the HPLC system is still recommended, these predictions provide an excellent starting point for method optimization.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_3_34f16bb3bf.webp" alt="KNAUER: HPLC Method Converter - Chromatograms" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_3_34f16bb3bf.webp 196w," sizes="100vw" width="1024" height="814"></p><p>The converter was developed with <strong>one primary objective:</strong> making <strong>HPLC method adaptation faster, easier, and more reliable </strong>while reducing the effort required from the user. Its intuitive interface, modern design, and automatic calculations help save valuable laboratory time—and it is available free of charge.</p><h4><strong>Modernize Your Methods and Improve Laboratory Efficiency</strong></h4><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_4_31e7188db4.webp" alt="KNAUER: Modernize Your Methods and Improve Laboratory Efficiency" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_4_31e7188db4.webp 245w," sizes="100vw" width="720" height="449"></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_5_815a7bf889.webp" alt="KNAUER: HPLC Method Converter - Results" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_5_815a7bf889.webp 194w," sizes="100vw" width="1440" height="1157"></p><p>One of the major advantages of the <strong>KNAUER HPLC Method Converter</strong> is its compliance with <strong>USP General Chapter &lt;621&gt;</strong>.</p><p>For <strong>pharmaceutical laboratories</strong>, chromatographic methods must comply with pharmacopeial requirements that ensure product quality and patient safety. Historically, many USP methods were developed using larger HPLC columns that no longer reflect the capabilities of modern chromatography systems.</p><p>Current USP, <strong>European Pharmacopoeia (Ph. Eur.)</strong>, and <strong>Japanese Pharmacopoeia (JP)</strong> guidelines now permit specific adjustments to column dimensions and particle size for both isocratic and gradient methods. These changes are allowed provided that defined relationships between chromatographic parameters are maintained.</p><p>The KNAUER Method Converter automatically checks whether the selected column dimensions remain within the permitted USP limits. If the proposed changes comply with the guidelines, the software confirms that the method can be transferred while remaining pharmacopeia compliant. This removes uncertainty from the method conversion process and helps laboratories modernize their analytical workflows with confidence.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_HPLC_Method_Converter_6_c9d1e28c54.webp" alt="Unsplash: Illustrative picture" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_HPLC_Method_Converter_6_c9d1e28c54.webp 245w," sizes="100vw" width="720" height="449"></p><h4><strong>Increase Productivity While Reducing Solvent Consumption</strong></h4><p>Updating HPLC methods is not only about shortening analysis times—it also supports more sustainable laboratory practices.</p><p>Using shorter columns together with optimized flow rates significantly reduces solvent consumption, lowering operating costs and decreasing the amount of hazardous chemical waste generated during routine analyses. Faster separations also improve instrument throughput, enabling more samples to be processed within the same amount of time.</p><p>Modernizing chromatographic methods therefore delivers a dual benefit: greater laboratory productivity and a smaller environmental footprint. With only a few simple adjustments, laboratories can improve efficiency while supporting more sustainable analytical workflows.</p>

HPLC method conversion free and easy

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

News from LabRulezLCMS Library - Week 28, 2026

Article

Product

Application

Academy

Science and research

Software

Video

Poster

A unique company dedicated to serving science helping our customers drive productivity and accelerate results. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services.

Thermo Fisher Scientific

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Based in Berlin, KNAUER is a medium-sized, owner-managed company that has been serving the sciences since 1962. We develop and manufacture scientific instruments of superior quality for liquid chromatography, including: Analytical HPLC/UHPLC, Preparative HPLC, Fast protein liquid chromatography (FPLC), Multi-column chromatography/Simulated moving bed (SMB) chromatography. High pressure dosing, in-line detection systems, and osmometry are additional business areas.

KNAUER

Tosoh Bioscience

Mettler-Toledo

Agilent Technologies

Phenomenex

Altium International (HPST)

SCIEX

Waters Corporation

<p><strong>In this webinar, typical LC problems are discussed - how to identify and solve them.</strong></p><blockquote><p><strong>Presenter:</strong> Ansuman Mahato (Product Specialist Liquid Phase Separations, Agilent Technologies)</p><p>Ansuman has been a Product Specialist at Agilent Technologies for 14 years, working with the pharmaceuticals, biopharmaceuticals, food, and chemicals industries. Based in Waldbronn, Germany, the manufacturing site for Agilent’s chromatography solutions, he helps make labs more efficient and compliant and has rich experience with techniques like HPLC, UHPLC, GPC/SEC, Prep LC, and 2D-LC.</p><p>Ansuman is also skilled in polymer analysis using advanced tools like viscometry and MALS. He has published many papers in international journals and is a popular speaker for his practical insights and innovative solutions.</p></blockquote>

Agilent Technologies: HPLC Beginner Webinar Series

Troubleshooting and Everyday Routine for the HPLC Instrument

In this webinar, typical LC problems are discussed - how to identify and solve them.

<p><strong>Join us on the hunt for the needle in the haystack!</strong></p><p>This session will delve into best practices for untargeted feature finding, focusing on achieving the optimal balance between sample coverage and processing speed using Profinder and the new MassHunter Explorer. We will explore techniques to differentiate between features and noise by applying the right filters for quality checking your data. Additionally, the webinar will cover essential aspects of compound identification, including database matching, formula generation, and structure elucidation.</p><p>This is a must-attend event for anyone looking to enhance their analytical capabilities and streamline their data processing workflows.</p><blockquote><p><strong>Presenter:</strong> &nbsp;Stefan Schaebler (Application Specialist LC/MS, Agilent Technologies)</p><p>Stefan completed his PhD in Biology, specializing in LC-MS-based lipidomics and metabolomics. Following his doctoral studies, he joined Agilent Technologies as an LC/MS Application Specialist. In this role, Stefan focuses on small molecule applications using LC-QTOF, with a strong emphasis on software tools and data interpretation.</p></blockquote>

Agilent Technologies: MassHunter Masterclass Months

Finding the Needle in the Haystack Part I: From Complex Samples to Compounds of Interest

The best practices for untargeted feature finding, focusing on achieving the optimal balance between sample coverage and processing speed.

From Complex Samples to Compounds of Interest

<p><strong>In laboratory analysis, pH measurement is a fundamental yet often overlooked hero. However, even the most straightforward tasks can lead to unexpected pitfalls if not performed with precision.</strong></p><p>Imagine a lab where every pH reading is spot-on—analyses are consistent, reliable, and yield top-notch results. This isn’t just a dream; it can be your reality! Join our informative webinar, where we'll guide you through the essentials of pH theory and measurement processes. We’ll also provide expert tips on sensor maintenance and troubleshooting, ensuring you have all the guidance to measure pH confidently.</p><p>With a solid foundation in pH measurement practices, you’ll sharpen your skills and transform the overall quality of your results. Don’t miss this opportunity to enhance your expertise in pH measurement—let’s embark on this journey together!</p><p><strong>Event Program</strong></p><ul><li>The Fundamentals of pH: A Deep Dive into the Basics</li><li>pH Measurement Setup and Workflow: Simplifying and Streamlining Your Measurement Process</li><li>Sensor Maintenance and Troubleshooting: Optimizing Your Sensor Performance</li><li>Good Electrochemistry Practices: Elevating Your Expertise for Precise Results</li><li>Interactive Q&amp;A Session with Our Speaker</li></ul><blockquote><p><strong>Presenter:</strong> Dr. Reena Mascarenhas</p><p>Dr. Mascarenhas is a seasoned electrochemist with over 5 years of dedicated experience at METTLER TOLEDO. Her in-depth knowledge and expertise in the field have made her a sought-after speaker for live webinars. With a strong academic foundation and a passion for electrochemical advancements, Dr. Mascarenhas is committed to sharing her insights and contributing to the growth of the scientific community.</p></blockquote>

What Is pH?

Engage, Explore, and Learn the Key Concepts of pH Measurement.

<p><span><strong>Overview:</strong></span></p><ul><li>Automated clean-up using solid-phase extraction for per- and polyfluorinated alkyl substances (PFAS) (presented by Norina Aßhoff/CVUA-MEL).</li><li>PFAS method according to LOD / LOQ limits in Recommendation (EU) 2022/1431 on the monitoring of perfluoroalkyl substances in food.</li><li>In fruit, vegetables &amp; baby food: limits for PFOS: 2 ng/kg, PFOA: 1 ng/kg, PFNA: 1 ng/kg, and PFHxS: 4 ng/kg.</li><li>Validated method for animal-based foods such as eggs, milk, meat and fish.</li><li>Suitability for PFAS analysis of food contact materials made of paper.</li><li>2-SPE cartridge setup (Strata GCB 250mg + Strata-X-AW 100mg) vs. single/stacked cartridge Strata PFAS (250mg / 100mg).</li></ul><p><span><strong>Key Learning Points:</strong></span></p><ul><li>Automated sample preparation of PFAS in food, food contact materials and consumer goods.</li><li>Additional sample preparation and LC-MS/MS methods for water, soil, and blood/serum.</li><li>Blank value-reduced SPE materials and other specific laboratory accessories for PFAS analysis.</li><li>Optimization of LC-MS/MS analysis through modern columns and strategies for better retention of short-chain PFAS.</li></ul><p><span><strong>Who should attend?</strong></span></p><p>The webinar is designed for all involved in PFAS analysis in the food, feed, environmental and clinical areas, to learn about automation and new ideas for more robust PFAS metho<strong>ds.</strong></p><blockquote><p><span><strong>Presenter:</strong></span> Norina Aßhoff, CVUA-MEL</p><p><span><strong>Presenter:</strong></span> Guido Rimmel, Account Manager, Phenomenex</p><p><span><strong>Presenter:</strong></span> Georg Pfefferer, Account Manager, Phenomenex</p></blockquote><p>Please note: the webinar on PFAS will not be recorded.</p>

Phenomenex: PFAS Analysis in Food, Vegetables and Other Matrices – Automation, Hints & Developments

PFAS Analysis in Food, Vegetables and Other Matrices – Automation, Hints & Developments

Learn about automation and new ideas for more robust PFAS methods. 

PFAS Analysis in Food, Vegetables and Other Matrices

<p><strong>Data helps power the analytical laboratory. However, converting vast amounts of data into actionable decisions and confidence in business critical operations is extremely challenging.</strong></p><p>Existing solutions require custom system integrations that are expensive and difficult to maintain. Join us as we launch our newest cloud software solution, waters_connect Data Intelligence, specifically developed to help overcome these challenges by proving near-real time, in depth dashboards and powerful purpose-built analytics on your Empower<sup>&nbsp;</sup>Software data, helping you to:</p><ul><li>Improve productivity</li><li>Reduce risk</li><li>Save money</li><li>Accelerate time-to-market</li></ul><p><strong fr-original-style="">Be confidently audit ready, access deeper insights, and improve your laboratory operations.</strong></p><blockquote><p><strong fr-original-style="">Presenter: </strong>Jonathan Scott (Director of Product Management, Connected Science, Waters Corporation)</p><p>Prior to joining Waters in 2012, Jonathan worked in the regulated bioanalytical space focusing on developing and validating small and large molecule LC-MS methods. While at Waters, Jonathan has held multiple roles within product management including a focus on mass detection and biopharmaceutical software.</p><p><strong fr-original-style="">Presenter:&nbsp;</strong>Ben Dearnaley (Principal Product Owner, Connected Science, Waters Corporation)</p><p>Ben has worked at Waters for 17 years, and 14 years in Pharma prior to that. His area of interest as both a customer and at Waters has been on how to leverage Empower meta-data into analytics and business intelligence which helps Empower stakeholders understand better how their laboratories are working, such as understanding system and resource utilization, laboratory workflows and potential data integrity issues. Ben was a key individual involved with EDS365 and is now working as a Cloud Product Owner with a focus on bringing Empower analytics into the Cloud.</p></blockquote>

Waters: Level-up your Empower data with in-depth dashboards and powerful custom data analytics

Level-up your Empower data with in-depth dashboards and powerful custom data analytics

In-depth dashboards and powerful custom data analytics

Level-up your Empower

<p><strong>The technologies presented will be CE and LC-MS.</strong></p><p><i>The presentations will also be available on demand after the virtual event.</i></p><h3><strong>(Day 1): Therapeutic proteins and peptides</strong></h3><h5><strong>10:00–10:10 Welcome and introduction</strong></h5><ul><li>Steve Lock, SCIEX, UK</li></ul><h5><strong>10:10–10:35 Using LC-MS for multi-attributes monitoring (MAM) of proteins</strong></h5><ul><li>Ricardo Gomes, IBET, Portugal [NEW SPEAKER]</li></ul><h5><strong>10:35–11:00 Lastest methods for analyzing charge variants by ciEF-MS</strong></h5><ul><li>Whitney Smith, SCIEX, Germany</li></ul><h5><strong>11:00–11:25 Biomarker quantitation using LC-MS</strong></h5><ul><li>Speaker to be announced soon [NEW SPEAKERS]</li></ul><h5><strong>11:25–11:35 </strong>Break</h5><h5><strong>11:35–12:00 The lastest ways to screen N-glycans using CE</strong></h5><ul><li>Gabor Jarvas, University of Pannonia, Hungary [NEW SPEAKER]</li></ul><h5><strong>12:00–12:25 Understanding SEC and CEX coupled to LC-MS for protein intact and subunit analysis</strong></h5><ul><li>Sarah Nguyen, LSMBO, Strasbourg University, France</li></ul><h5><strong>12:25–12:50 Beneath the peak: mass spectrometry as a tool in ADC development</strong></h5><ul><li>Christopher Nortcliffe, Sterling Pharma Solutions, UK</li></ul><h5><strong>12:50–13:00</strong> Wrap-up and Q&amp;A</h5><blockquote><p><strong>Your host: </strong>Steve Lock, PhD (Senior Marketing and Market Development Manager, Biopharma, EMEAI, SCIEX)<br><br>Steve obtained his PhD in Physical Organic Chemistry from the University College of Swansea in 1993 and is a chartered chemist and a member of the Royal Society of Chemistry. He has worked for SCIEX in various technical roles for over 20 years and has presented at over 80 international meetings around the world. He currently works closely with customers in the biopharmaceutical industry. Steve is also currently an Adjunct Professor at the University of Pannonia.</p></blockquote>

2024 SCIEX Biopharma meeting (Day 1): Therapeutic proteins and peptides

This online event has been designed for our customers and brings  together opinion leaders, top scientists and industry innovators.

2024 SCIEX Biopharma: Therapeutic proteins and peptides

<p><strong>The technologies presented will be CE and LC-MS.</strong></p><p><i>The presentations will also be available on demand after the virtual event.</i></p><h3><strong>(Day 2): Gene therapy, vaccines and oligonucleotides</strong></h3><h5><strong>10:00–10:10 Welcome and introduction</strong></h5><ul><li>Steve Lock, SCIEX, UK</li></ul><h5><strong>10:10–10:35 The latest developments in plasmid analysis by CE</strong></h5><ul><li>Luiza Chrojan / Ryan Hylands, Pharmaron, UK</li></ul><h5><strong>10:35–11:00 Pure and simple: understanding LNP analytics for better mRNA-based drugs</strong></h5><ul><li>Adam Crowe, Cytiva, Canada</li></ul><h5><strong>11:00–11:25 Tips and tricks to speed up CE-SDS analysis</strong></h5><ul><li>Marcus Heinl, SCIEX, Germany</li></ul><h5><strong>11:25–11:35</strong> Break</h5><h5><strong>11:35–12:00 Applying CE to viral vector analysis of process samples</strong></h5><ul><li>Juliette Laigle / Yolande Masson, Yposkesi, France [NEW SPEAKERS]</li></ul><h5><strong>12:00–12:25 Exploring mRNA mapping and aggregation analyses for mRNA characterization</strong></h5><ul><li>Lucia Geis Asteggiante, Phenomenex, Italy</li></ul><h5><strong>12:25–12:50 After the experiment: electronic lab execution as standard</strong></h5><ul><li>Marc Smith, IDBS, UK [NEW SPEAKER]</li></ul><h5><strong>12:50–13:00</strong> Wrap-up and Q&amp;A</h5><blockquote><p><strong>Your host: </strong>Steve Lock, PhD (Senior Marketing and Market Development Manager, Biopharma, EMEAI, SCIEX)<br><br>Steve obtained his PhD in Physical Organic Chemistry from the University College of Swansea in 1993 and is a chartered chemist and a member of the Royal Society of Chemistry. He has worked for SCIEX in various technical roles for over 20 years and has presented at over 80 international meetings around the world. He currently works closely with customers in the biopharmaceutical industry. Steve is also currently an Adjunct Professor at the University of Pannonia.</p></blockquote>

2024 SCIEX Biopharma meeting (Day 2): Gene therapy, vaccines and oligonucleotides

SCIEX Biopharma: Gene therapy, vaccines and oligonucleotides

<p><strong>This presentation features the work of Robbin Bouwmeester, a senior postdoc in the CompOmics group in Ghent, Belgium, who completed his PhD in 2020. Robin is an expert in artificial intelligence and retention time prediction. His presentation, titled "Improvise, Adapt and Overcome," focuses on retention time prediction in the context of proteins and biomolecules.</strong></p><p>He discusses the importance of identifying and quantifying biomolecules in cells, and the use of graph networks to improve prediction accuracy. Robbin highlights the benefits of separating amino acids as individual graphs and combining them with code enrollments, resulting in an 11% performance improvement.</p><p>He also touches on the use of chemical descriptors and graph representations to better distinguish peptides, and the potential of training on broader peptide sets before fine-tuning to smaller, more complex data sets. Additionally, he showcases a successful example of accounting for modifications in retention time prediction with high correlation coefficients.&nbsp;</p><h5>Learning points:</h5><ul><li id="isPasted"><strong>Importance of Transfer Learning&nbsp;</strong></li><li><strong>Role of Modifications in Retention Time Prediction&nbsp;</strong></li><li><strong>Application of Machine Learning &nbsp;</strong></li></ul><h5>Who should attend:</h5><ul><li>Researchers and professionals in the fields of bioinformatics, computational biology, and analytical chemistry, particularly those who are involved in proteomics and the study of biomolecules&nbsp;</li><li>Individuals working with machine learning applications in biological sciences or those interested in retention time prediction and data-driven approaches to understanding biomolecular behavior would find the presentation valuable.</li></ul><p><strong>Presenter:</strong> Robbin Bouwmeester (CompOmics Group, Ghent University/VIB, Belgium)</p>

Thermo Fisher Scientific: Improvise, Adapt and Overcome: retention time prediction in the context of proteins and biomolecules

Improvise, Adapt and Overcome: retention time prediction in the context of proteins and biomolecules

Robin discusses the importance of identifying and quantifying biomolecules in cells, and the use of graph networks to improve prediction accuracy.

Retention time prediction in the context of proteins

<p><strong>Celebrating 50 years of chromatography evolution, we have embarked on an incredible journey together, sharing extensive knowledge in liquid chromatography, understanding your insights, and continuously evolving.</strong></p><p>Agilent is committed to fostering strong customer connections and adopting a focused approach in designing HPLC instruments for today and the future. Stepping into the future, we are delighted to invite you to experience the latest advancement in chromatography from Agilent: Infinity III Series, the HPLC Made for Tomorrow.</p><h5><strong>We are going to give you an exclusive sneak peek into the newly launched Infinity III LC Series:</strong></h5><p><strong>1. Infinity III LC Series Overview</strong></p><p><strong>2. Infinity Lab Assist Lab-Demo Video</strong></p><p><strong>3. Q&amp;A Session about the new Infinity III LC Series with experts - Jens Meixner and Florian Rieck</strong></p><p>Register now and encourage your industry colleagues to join this launch webinar.</p><div dir=""><div><blockquote><div><strong>Presenter:</strong> Jens Meixner, PhD (Product Manager, Agilent Technologies)</div></blockquote></div><div><blockquote><p><span>Jens Meixner is a product manager at Agilent Technologies, where he oversees the analytical core HPLC and CE-MS portfolios. He began his career in 2014 as a PhD student at Aalen University and the University of Tübingen, where he studied analytical chemistry. During his Ph.D. he focused on the development of multidimensional separation techniques like CExCE and LCxCE coupled with high-end MS detection for the characterization of therapeutic drugs.</span></p></blockquote><div dir=""><div><blockquote><div><strong>Presenter:</strong> Florian Rieck, PhD (Scientist Application Development, Agilent Technologies)</div></blockquote></div><div><blockquote><p align="LEFT"><span>Florian Rieck holds a master's degree in food chemistry and a PhD in analytical chemistry from the Karlsruhe Institute of Technology (KIT) in Germany. Florian joined Agilent Technologies in 2015 as an applications chemist for liquid chromatography. An author of numerous application notes covering different analytes and detection techniques, he has also been responsible for a number of customer collaborations and demonstrations of the Agilent InfinityLab LC portfolio.</span></p></blockquote></div></div></div></div>

Agilent Technologies: Agilent Infinity III LC Series

Agilent Infinity III LC Series

Stepping into the future, we are delighted to invite you to experience the latest advancement in chromatography from Agilent: Infinity III Series.

<p><strong>Christian Rohrer, Director of Sales &amp; Support – EMEA at Tosoh Bioscience GmbH, will present the next edition of Tosoh Tuesday, a webinar series held by Chromatography Experts.&nbsp;</strong></p><p>On Tuesday, November 19, Snežana Đorđević, Application Scientist at Tosoh Bioscience, will demonstrate the SEC-MALS potential in unraveling the structural information of biopolymers. Learn about the importance of implementing accurate and fit-for-purpose analytical characterization steps from the start and throughout the design process of polymer therapeutics.</p><p><strong>After the webinar, ask your questions during the live Q&amp;A session.&nbsp;</strong></p><blockquote><p><strong>Presenter: </strong>Christian Rohrer (Director of Sales &amp; Support – EMEA at Tosoh Bioscience GmbH)</p><p><strong>Presenter:</strong> Snežana Đorđević (Application Scientist at Tosoh Bioscience)</p></blockquote>

Tosoh Bioscience: Tosoh Tuesday - Advanced Characterization of Polymers by SEC-MALS

Tosoh Tuesday - Advanced Characterization of Polymers by SEC-MALS

Learn how SEC-MALS provides structural insights into biopolymers and supports accurate analytical characterization in polymer therapeutic development.