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

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Application

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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.

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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.

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Separation Science

Agilent Technologies

Shimadzu Corporation

Waters Corporation

Plasmion

<p><strong>Quality by design (QbD) in the development of drug formulations is laid down as a requirement in the ICH Q8 guideline to assure product quality, reduce cost, and provide better regulatory oversight. QbD is not a new topic in the method development of dissolution testing, but it may be a new topic for you.</strong></p>
<p>We want to provide you with an overview of how this area has evolved and especially what the authorities expect from your dissolution method development. Following this approach may also require a change in mindset and the style of working in your laboratory. Join us for a lively meeting and discussion of this topic.</p>
<blockquote>
<p><strong>Presenter</strong>: Karen Krauel-Göllner, PhD (Product Manager Dissolution, Agilent Technologies, Inc.)</p>
</blockquote>
<blockquote>
<p>Karen Krauel-Göllner is a registered pharmacist and holds a PhD in Pharmacy from the University of Otago, New Zealand. Karen has worked in various roles in the field of pharmaceutical development. For the last 10 years she has been working with Agilent Technologies and currently holds a position as product manager for dissolution systems.</p>
</blockquote>
<blockquote>
<p><strong>Presenter</strong>: Ken Boda (Dissolution Product Specialist, Agilent Technologies, Inc.)</p>
</blockquote>
<blockquote>
<p>Ken joined Varian (now Agilent) in 2005 as an applications engineer and is now a dissolution product specialist. Prior to working at Agilent, he worked in pharma specializing in dissolution testing and method development. As a dissolution product specialist, Ken works with customers in determining the best systems for their needs and optimizing their workflows. He has also helped educate customers on dissolution science through webinars, the Dissolution Discussion Group, LinkedIn, and other channels.</p>
</blockquote>
<blockquote>
<p><strong>Presenter</strong>: Bryan Crist (President, DissoAssist Consulting, Wilmington, NC, USA)</p>
</blockquote>
<blockquote>
<p>Bryan has been the president of DissoAssist consulting based in Wilmington, NC, USA since 2021. He provides consulting, coaching, and training services for dissolution and drug release in the pharmaceutical industry. Bryan is also an active member on various USP Expert Committees.</p>
</blockquote>
<blockquote>
<p>Previously, Bryan was a scientific affairs manager with Agilent Technologies located in Cary, North Carolina, USA. From 1997 to 2021, he focused on providing method and technical application support for dissolution and drug release testing in the pharmaceutical industry as well as working with VanKel, Varian, and eventually Agilent. Prior to 1997, Bryan supervised and managed pharmaceutical laboratories and performed analytical testing with Bristol-Myers Squibb, Merck, AAI, and Abbott Laboratories until he joined the dissolution equipment manufacturer VanKel.</p>
</blockquote>
<blockquote>
<p><strong>Presenter</strong>: Vivian Gray (Founder VA Gray Consulting; Managing Director of Dissolution Technologies)</p>
</blockquote>
<blockquote>
<p>Vivian has spent the last 40+ years involved in all aspects of dissolution testing and evaluating new dissolution technology. At the United States Pharmacopeia, she enjoyed a long career serving first as a bench chemist, supervisor, and lastly as a liaison to various expert USP committees. In 1997, Vivian joined the DuPont-Merck Pharmaceuticals Company Analytical Research and Development Section as the head of the Dissolution Group. In 2002, she formed her own consulting business, V. A. Gray Consulting, Inc., in dissolution testing and related areas. In June 2003, she became managing director of Dissolution Technologies, a peer-reviewed journal dealing specifically with dissolution testing issues.</p>
</blockquote>


Agilent: Dissolution Method Development Guidance Using QbD

Dissolution Method Development Guidance Using QbD

An overview of how Quality by design (QbD) has evolved and especially what the authorities expect from your dissolution method development.

<p><span name="summary">Dissolution testing measures the extent and rate of solution formation from a drug dosage form, such as tablet, capsule, or ointment. Understanding the dissolution of a drug allows us to learn about bioavailability and therapeutic effectiveness. In this webinar, Naiffer Romero from the USP will highlight recent changes and benefits on the general chapter &lt;711&gt; related the Dissolution Performance Verification Standard. Then Ben Calvopina from Sotax will share the results of a study demonstrating the automation of the dissolution testing process with samples requiring a UV finish or a HPLC finish.</span></p><p><span name="summary"><strong fr-original-style="">Key Learning Objectives</strong></span></p><ul><li id="isPasted"><span name="summary">Learn about the benefits of the new standard on Dissolution Performance Verification</span></li><li><span name="summary">Explore the implementation and benefits of automation in dissolution testing</span></li><li><span name="summary">Discover on-line dissolution workflows with HPLC</span></li></ul><p><span name="summary"><strong fr-original-style="">Who should attend</strong></span></p><p><span name="summary">Scientists involved with dissolution testing</span></p><blockquote><p><strong>Presenter:</strong> Naiffer Romero, MSc, MPH (Principal Scientist - Scientific Affairs, US Pharmacopeia)</p><p>Naiffer has more than 20 years of pharmaceutical industry experience. In his 13+ years tenure with USP, he has served several roles: Lead scientist in the dosage form performance laboratory, reference standard development team, Manager in charge of LATAM Compendial engagement and education, responsible for stakeholders and national regulatory bodies engagement. Naiffer is also a certified USP Education instructor. Most recently, Naiffer joined USP's Scientific Affairs performance cell, where he leads scientific outreach and engagement for LATAM &amp; U.S. on key national health priority topics. His combined pharmaceutical expertise includes Analytical Development, salt and polymorph selection, Development of dissolution methods, IVIVC modeling, and impurity analytical strategy. Naiffer also serves as a member of USP's Nitrosamine Steering Committee and community host to 'Nitrosamine Exchange,' a knowledge community in All-things Nitrosamine. Naiffer also liaises technical discussion on pharmacopeial collaboration, including international meetings of World Pharmacopeias (part of WHO).</p><p><strong>Presenter:</strong> Ben Calvopina (Application Scientist and Dissolution Product Leader, SOTAX Corporation)</p><p>Ben is an Application Scientist and Product Leader for Dissolution at SOTAX's Westborough, MA facility. After receiving his degree in Physics from Marquette University, Ben taught Physics, Chemistry, and Computer Science at the Milwaukee School of the Arts. He joined SOTAX, where he's been for the last six years as the lead Service Engineer for some of the largest automated pharmaceutical laboratories in the Americas, leading all installation, qualification, and user training programs. He now resides in Massachusetts and works at SOTAX North American HQ in Westborough. He is responsible for all dissolution products and regularly conducts studies for SOTAX cGMP Pharma Services branch, including method development and validation of automated procedures. Ben actively participates in the USP collaborative study on the Dissolution Performance Verification Standard and is a participant in the AAPS IVRDT Leadership Team Meetings.</p><div><div><strong>Panelist: </strong>Chantel Lee (<span>Product Marketing Manager, Small Molecule Core Solutions – QAQC, Waters Corporation)</span></div></div><div><p><span>Chantel is a Principal Product Marketing Manager at Waters Corporation, where she manages marketing strategies and initiatives for HPLC products. She brings over ten years of experience in analytical chemistry, specializing in chromatography and Empower software and supporting customers from pharmaceutical, food, and chemical industries. Since joining Waters in 2017, Chantel has progressed through roles in technical support, business development, and marketing. She holds an MBA from Boston University along with an MSc in Analytical Chemistry from the University of Alberta, Canada.</span></p><p><strong>Moderated by</strong>: Isabelle Vu Trieu (Pharmaceutical Market Development Manager, Americas, Waters Corporation)</p><p>Isabelle is a business development professional dedicated to delivering benefits to analytical scientists in the life sciences industry. With over 20 years of experience in providing chromatography and mass spectrometry solutions, Isabelle is particularly interested in helping pharmaceutical scientists achieve the data quality and integrity needed to drive decisions for drug quality, safety and efficacy. Isabelle joined Waters in 2009 and currently manages the development of the pharmaceutical market in the Americas. She holds Masters’ degrees in Chemistry from Columbia University and the University Claude Bernard in Lyon, France as well as a Chemical Engineering degree from Ecole Supérieure de Chimie Physique Electronique in Lyon, France.</p></div></blockquote>

Waters Corporation: Solving Problems That Matter - a Waters webinar series featuring USP speakers.

Performance Verification Testing in Dissolution

Solving Problems That Matter - a Waters webinar series featuring USP speakers. Episode 10: Performance Verification Testing in Dissolution

<p><strong>Multi-angle light scattering (MALS), a technique that calculates molecular weight and size through the measurement of light scattered across many angles, is a powerful tool that has become ubiquitous in recent years. What was once a niche detector in the polymer world has rapidly become a useful detector in many emerging fields of interest.</strong></p><p>In this webinar, we will investigate the main uses of MALS including molecular weight determination, aggregation screening, molecular size, and shape. We will further relate these structure-property relationships back to bulk material behaviour and CQAs within the materials and pharma/biopharma spaces. We will also show the new 1260 MALS detector from Agilent and examine some use cases that we have seen with some of our academic and industrial collaborators to showcase the wide variety of MALS applications and configurations and highlight the benefits such a detector can add to macromolecular research.</p><p><strong>By attending this webinar, you will:</strong></p><ul><li>Review the fundamentals of light scattering</li><li>Learn what information MALS can provide about your material</li></ul><p><strong>What you need to know:</strong></p><p>Date: 21 November, 2024</p><p><strong>Start times:</strong></p><p>Broadcast #1: 21 November- 10 am GMT (London) / 11 am CET (Paris/Berlin) / 3:30 pm IST (New Delhi) / 6 pm SGT (Singapore)</p><p>Broadcast #2: 21 November- 10 am PST (Los Angeles) / 12 pm CST (Chicago) / 1 pm EST (New York)</p><p>Duration: Approximately 60 minutes</p><blockquote><p><strong>Presenter:</strong> Steve Rosa (GPC/SEC Product Specialist, Agilent Technologies)</p><p>Steve received a BS from UMass Amherst in 2016. After graduating, he worked in the Polymer Science and Engineering department at UMass with a focus on the synthesis of zwitterionic small molecules for use in interlayers as well as halogen-free flame-retardant polymers. Steve joined PSS in 2019 as a Technical Support &amp; Application Specialist and has been in his current role at Agilent as a GPC/SEC Product Specialist since 2022. Steve currently supports the whole Agilent GPC/SEC portfolio covering everything from instrumentation to software.</p><p><strong>Presenter: </strong>Lorena Lopez (Application Scientist, Agilent Technologies)</p><p>Lorena Lopez is an LC Application Scientist with Agilent Technologies and is currently based out of the Agilent facilities in Lexington, Massachusetts. She has been with Agilent for almost 10 years, tightly involved within liquid chromatography, capillary electrophoresis, and dissolution instrumentation. She also spent several years in life sciences research developing both analytical LC and biopharma workflows, areas where she has been focusing for the last couple of years within her current role.</p></blockquote>

Separation Science - Applicability of MALS Detection in Understanding Novel Macromolecules and their Structure-Property Relations

Applicability of MALS Detection in Understanding Novel Macromolecules and their Structure-Property Relations

Explore the main uses of MALS including molecular weight determination, aggregation screening, molecular size, and shape. 

MALS Detection in Understanding Novel Macromolecules SPR

<p><strong>Metabolic Profiling through Direct Breath Analysis:</strong></p><p>We demonstrate an easy extension of conventional capabilities for the SICRIT® ionization source, coupled to a high-resolution MS instrument, through a metabolomic-based breath analysis and how groups of target masses can be isolated and analyzed for potential biomarker identification. Additionally, we can see the sensitivity and broad ionization capabilities of the source through a comparison of different subjects, where the subtle differences in everyone’s metabolic profile is given by the spectral distribution of metabolite density.</p><p><strong>Metabolomic CSI: HRMS Lipidomic Profiling of Fingerprints using TD-SICRIT®-MS and Bioinformatics Pipeline</strong></p><p>We demonstrate the capabilities of the TD-SICRIT®-MS and how they can be utilized in the world of metabolomics and lipidomics, with the full potential of such a study being realized through the combination of chemistry and computation.</p><p>Don't miss this opportunity to enhance your understanding of SICRIT® technology and its applications!</p>

Plasmion: Exploring Metabolomics With SICRIT®

Exploring Metabolomics With SICRIT®

Explore the diverse application possibilities of SICRIT® ionization source in the field of metabolomics.

<p><strong>We’ll work through a topic of the week and discuss any questions that come up along the way. During these sessions, we’ll talk about how to care for your SEC-MALS or FFF-MALS system, help you brush up on your ASTRA and DYNAMICS data processing, discuss measuring dn/dc values and why dn/dc is important, and see how stable RI baselines are achievable.</strong><br><br>Working with polydisperse samples? We’ll see how to leverage ASTRA’s distribution analysis and results fitting features. Special topics on error analysis, batch MALS work, and more.<br><br>The live interactive web series are 100% live sessions, with anonymous Q&amp;A welcome during and after the discussion. Free for all Wyatt customers.</p><p><strong>Session Topics</strong></p><ul><li>The benefits of FFF separation</li><li>Application examples</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Christian Ackerschott</p><p>Dr. Christian Ackerschott studied Chemistry at the University of Cologne and finished with his diploma thesis in Biochemistry. He completed his studies with the PhD thesis “Characterization of Recombinant Flagelliform Spider Silk Proteins” at the Technische Universität München, where AF4-MALS was used as an essential characterization method.</p><p>Since 2007, Christian works at Wyatt Technology as Application Scientist and is now Head of Customer Service. His tasks also include customer trainings in Dernbach and onsite as well as education and training of the local Field Application Scientists.<br>&nbsp;</p></blockquote>

Waters: How does FFF separation work? How can I use it for my samples?

How does FFF separation work? How can I use it for my samples?

We’ll see how to leverage ASTRA’s distribution analysis and results fitting features. Special topics on error analysis, batch MALS work, and more.

How does FFF separation work?

<p><strong>With the need for risk assessment and testing plans looming on the horizon, join us to learn about the challenges of low-level nitrosamine detection for both LCMS and GCMS applications.</strong></p><p>We will explore the pressing questions of coming regulation, including guidance on NDSRIs, the differing use cases of the 4 Procedures of USP &lt;1469&gt; and how Shimadzu can be your partner in creating solutions to meet these requirements.</p><p>As you prepare for the August 1, 2025 deadline, whether your needs will be nitrosamine discovery with LCMS-QTOF or high-sensitivity QC monitoring with headspace GC-MS/MS, Shimadzu has the hardware and applications to help you succeed.</p><p>We will host a Q&amp;A session after the presentation to address any questions or comments.</p><blockquote><p><strong>Presenter:</strong> Brian Domanski (Strategic Collaboration Scientist, Shimadzu Scientific Instruments)</p><p>Brian has over 10 years working to provide LC and SFC solutions for Pharma, as well as experience with a wide range of chromatography techniques including RP, NP, HILIC, IEX, SEC/GPC, and IC. His focus also includes scalable Informatics and Data Integrity solutions.</p></blockquote>

Shimadzu: Are you Nitrosamine Ready? Solutions for Nitrosamine Analysis

Are you Nitrosamine Ready? Solutions for Nitrosamine Analysis

Join us to learn about the challenges of low-level nitrosamine detection for both LCMS and GCMS applications.

Solutions for Nitrosamine Analysis by LCMS and GCMS

<p><strong>Choosing the appropriate column for your polymer analysis can be a challenge. Gel Permeation Chromatography (GPC) and Size Exclusion Chromatography (SEC) are separation techniques often used for polymers to determine the molecular weight and molecular weight distribution. &nbsp;Whether working with organic or aqueous mobile phase conditions, there are numerous factors and criteria to consider beyond the MW range when selecting the ideal GPC or SEC column.</strong></p><p>These include:</p><ul><li>individual pore, MIXED, and multiporous packing features and benefits</li><li>particle and pore size considerations&nbsp;</li><li>column chemistries and polymer sample types</li></ul><p><br>Additionally, we will cover best practices for selecting solvents, choosing calibration standards, and for using columns together in series. Application examples will be given. With a diverse range of column options available, we will demonstrate how to maximize performance through your GPC/SEC column selection</p><blockquote><p><strong>Presenter:</strong> Jean Lane (Application Engineer, Agilent Technologies, Inc.)</p><p>Jean has been employed with Agilent since Nov 2010 in technical and applications support and has a primary role supporting Agilent’s full line of LC columns and consumables, which also includes support for Agilent’s GPC/SEC product line. She came to Agilent thru acquisition of Varian and the former Polymer Laboratories. Jean has 20 plus years of technical and applications support for both HPLC and GPC consumable products. In addition to practical chromatography experience in the laboratory, she has had many, many years in her technical role involving customer support providing assistance and troubleshooting for customer chromatography issues.</p></blockquote>

Agilent Technologies: Becoming a Better Chromatographer - Educational Webinar Series

Optimize Your Polymer Analysis by Selecting the Ideal GPC/SEC Column

GPC & SEC are separation techniques often used for polymers to determine the molecular weight and molecular weight distribution.

Polymer Analysis by Selecting the Ideal GPC/SEC Column

<p><strong>This presentation provides an overview of a study comparing mouse models to human data, focusing on pre-symptomatic stages to analyze the prefrontal cortex. The TDP-43D3 mice, which can live up to 120 weeks, and the more aggressive C9R72 mouse model were used.</strong></p><p>The study identified sex-specific differences in both mice and humans. Proteomics analysis detected an average of 2,344 proteins per sample, revealing significant deregulations similar to those found in transcriptomics. Common pathways, such as the MAPK pathway, were consistently observed across various analyses, from transcriptomics to proteomics. The study employed a biologically motivated approach to identify valid interactors and validated findings in the lab using mouse models.</p><p>Phosphoproteomics and quadruplets analysis further identified important candidates like sequestosome, linked to autophagy. Synaptic and cytoskeletal dysfunctions were noted in both mouse and human samples. Cell type deconvolution based on transcriptomics data was also performed. The results consistently highlighted the MAPK pathway and synaptic compartments, guiding future validation steps. The findings have been recently published for further reference.</p><h5>Learning points:</h5><ul><li id="isPasted"><strong>Pre-symptomatic Analysis in ALS Research&nbsp;</strong></li><li><strong>Sex-specific Differences and Pathway Consistency &nbsp;&nbsp;</strong></li><li><strong>Validation and Functional Implications &nbsp;</strong></li></ul><h5>Who should attend:</h5><ul><li>Neuroscientists and Researchers: Those focused on ALS and other neurodegenerative diseases would gain insights into early disease mechanisms and potential therapeutic targets.&nbsp;</li><li>Pharmaceutical and Biotech Companies: Entities involved in drug development for neurodegenerative diseases might benefit from the identified pathways and molecular targets, aiding in the development of new therapies.&nbsp;</li></ul><div dir=""><div><div><strong>Presenter:</strong> Dr. rer. nat. Lucas Caldi Gomes (Lingor Lab, Department of Neurology, TUM)</div></div></div>

Thermo Fisher Scientific: Multiomic profile integration reveals early disease signatures of Amyotrophic lateral sclerosis

Multiomic profile integration reveals early disease signatures of Amyotrophic lateral sclerosis

This presentation provides an overview of a study comparing mouse models to human data, focusing on pre-symptomatic stages to analyze the prefrontal cortex.

Multiomic profile integration reveals early disease

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><h3><strong>Reproducible sample preparation for food analysis&nbsp;</strong></h3><p>Food occurs in different consistencies and is often inhomogeneous. For meaningful analysis, food laboratories require representative samples, which makes homogenization necessary as part of sample preparation.</p><p>Ideally, this step should involve as little work as possible. The prepared subsample must represent both the laboratory sample and the initial sample. This would not be the case with an inhomogeneous sample, as some components of the initial sample could be over- or under-represented.</p></div><h5><strong>In this webinar you will learn more about:</strong></h5><ul><li>Homogenization, standard deviation, correct analysis values</li><li>How do I find the optimal method for my sample</li><li>Cryogenic grinding (dry ice, liquid nitrogen)</li><li>Suitable laboratory mills for homogenizing foodstuffs</li><li>Live demos of selected mills</li><li>Application examples</li><li>Grain size determination using sieve analysis</li></ul><blockquote><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}"><strong>Presenter:</strong> Dr. Tanja Butt, Dr. Lena Weigold and Dr. Gerhard Beckers</span></p></blockquote><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}">This webinar is part of a series of four webinars (Retsch, CEM, Shimadzu, Eltra). Please register for the time slot of each company which fits best. Americas should select the second time slot, Asia the first. Each presentation by the different companies requires an own registration. Here you can select the time slot for Retsch. For the other companies you need to visit the landingpage.</span></p>

Reproducible sample preparation for food analysis

For meaningful analysis, food laboratories require representative samples, which makes homogenization necessary as part of sample preparation.

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><div><div><div><div><h3><strong>Heavy metals and pesticides in highly processed&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</strong></h3><p>In the third part of the webinar series the focus is on analytics. Each step of food processing presents a source of contamination, which is why highly processed foods (ultra-processed foods (UPF)) should be viewed critically.</p><p>Heavy metals are analyzed using ICP-MS and pesticides using GCMS/MS and SFC-LCMS/MS. You have the opportunity to get in touch with device experts and discuss your questions.</p></div></div><p><strong>In this webinar, you will learn more about:</strong></p><ul><li>How to measure pesticides in difficult samples using LC-MS/MS and SFC-MS/MS</li><li>Determination of pesticides in food samples using GC-MS/MS with hydrogen as carrier gas</li><li>Challenges and solutions for heavy metal analysis</li><li>How much heavy metals are lurking in trend food products?</li></ul><p><strong>Presenters:</strong> Uwe Oppermann, Stéphane Moreau, Waldemar Weber and Johannes Hesper</p></div></div></div>

Heavy metals and pesticides in highly processed

Heavy metals are analyzed using ICP-MS and pesticides using GCMS/MS and SFC-LCMS/MS. 