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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<p><strong>This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer), emphasizing their specific applications based on polymer types (Branched, Linear, high Mw, low Mw).</strong></p><p>We will discuss their roles in Mw determination, Quantitation, Viscosity measurement, and size and shape determination etc.&nbsp;</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

GPC/SEC Detector Selection

This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer).

<p><strong>In this session, discover how Wiley’s KnowItAll saves hours of GC-MS manual analysis time by combining fast, flexible deconvolution with an integrated reference database search into a single, automated workflow to identify components.</strong></p><h4>We will demonstrate through a series of live examples:</h4><ul><li><strong>KnowItAll’s various methods for GC-MS analysis and how they can impact your workflow.</strong></li><li><strong>Professors and students engaged in chemistry and mass spectrometry courses or lab work.</strong></li></ul><p>About KnowItAll: KnowItAll combines all the tools and spectral databases you need for effective analysis into a single, easy-to-use interface to make your lab its most efficient. Compatible with over 130 instrument formats, it streamlines your entire workflow regardless of how many techniques and instruments you use. Learn more at sciencesolutions.wiley.com</p><blockquote><p><strong>Presenter: </strong>Dr. Leanna Ergin (Associate Editor, Wiley Science Solutions)</p><p>Dr. Leanna Ergin is an Associate Editor for Wiley Science Solutions, for which she helps create tools for spectroscopy, structural, and scientific standard reference data and helps create innovative software applications. Leanna completed her PhD in Clinical-Bioanalytical Chemistry from Cleveland State University, where she developed a protocol for processing hyperspectral image data that distinguishes the spectra, removes degeneracies caused by symmetry, and is generalized to work with any number of wavelength dimensions and spectra. The results are mapped to the full RGB colorspace of modern computer displays. Leanna joined Wiley in 2022.</p><p><strong>Presenter:&nbsp;</strong>Dr. Michelle D’Souza (Product Manager, Software Products, Wiley Science Solutions)</p><p>Dr. D’Souza has over 15 years of experience in the management and development of spectroscopy software, including her current position as product manager for software products at Wiley Science Solutions and prior to that at Bio-Rad Laboratories, Inc. She also worked many years in the pharmaceutical industry after obtaining a Ph.D. in chemistry from Northern Illinois University.</p></blockquote>

The Analytical Scientist: Introduction to KnowItAll for Mass Spectrometry

Introduction to KnowItAll for Mass Spectrometry

How Wiley’s KnowItAll saves hours of GC-MS manual analysis time.

<p><strong>We’ll explore how outlier setup can help you focus on samples and compounds that require your attention, ensuring accurate and reliable results.</strong></p><p>Additionally, you’ll learn how viewing compounds and calibration at a glance can expedite data review, making the process faster and more intuitive.</p><p>Finally, we’ll demonstrate how easily you can summarize your results in comprehensive reports or export them to Excel, streamlining your workflow and enhancing productivity.</p><p>Don’t miss this opportunity to enhance your data analysis skills with MassHunter Quant!</p><blockquote><p><strong>Presenter:</strong> Peter Kornas (LC/MS Applikationsspezialist, Agilent Technologies)</p><p>Peter Kornas has more than 10 years of experience in the development and validation of analytical methods for the determination of pesticides, mycotoxins and contaminants using LC/MS/MS. Before joining Agilent as an LC/MS application specialist in 2018, he worked as an analytical chemist in the food industry. During this time, he was responsible for the development and validation of analytical methods and worked in close coordination with Regulatory Affairs to ensure compliance with the legal requirements of the LC/MS method portfolio.</p></blockquote>

Agilent Technologies: MassHunter Masterclass Months

MassHunter Quant – A Fast and Easy Way from Data to Results

Join us and discover how quickly a quantitation method can be set up, enabling efficient data processing.

<div><p><strong>To unravel the functions of the vast universe of small molecules in human biology it is essential to first detect and quantify these molecules—a task carried out by the field of metabolomics. In traditional liquid chromatography-mass spectrometry (LC-MS)-based metabolomics, quantitative analysis is divided across two categories: relative or absolute.&nbsp;&nbsp;&nbsp;</strong></p><p>In this webinar we will explore the importance of metabolomics in disease research, and the challenges associated with LC-MS based metabolomics studies. We will also introduce Pyxis, a scalable, machine learning-based approach to absolute quantitation of metabolites across various matrices, and potential applications in research and the clinic.&nbsp;</p><p><strong>Learning Objectives</strong></p><ul><li><strong>The application of quantitation in understanding metabolite functions in biological systems.</strong></li><li><strong>The experimental requirements of absolute and relative quantitation of metabolites along with their benefits and limitations.</strong></li><li><strong>Introduction of Pyxis, a method that enables scalable absolute quantitation of metabolites without relying on isotopically labeled standards.</strong></li></ul><blockquote><p><strong>Presenter:</strong> Naama Kanarek, PhD (Assistant Professor, Pathology Department at Boston Children’s Hospital and Harvard Medical School)</p><p>A native of Jerusalem, Israel, Dr. Naama Kanarek trained at the Hebrew University, where she earned a BSc in medical science, an MSc in proteomics and microbiology, and a PhD in immunology and cancer research (including one year at Columbia University Medical Center, NY). Dr. Kanarek’s postdoctoral research was performed under the supervision of Prof. David M. Sabatini at MIT’s Whitehead Institute.</p><p>Dr. Kanarek is the recipient of a number of awards and honors, including the Margaret and Herman Sokol Postdoctoral Award, the Leukemia and Lymphoma Society New Idea Award, the Hebrew University Women in Science Postdoctoral Award, the Weizmann Institute Postdoctoral Award for Advancing Women in Science and a Revson Fellow of that program, and the James Sivarsten Prize in Pediatric Cancer Research. Her postdoctoral work was supported by fellowships from the American Association for Cancer Research and the European Molecular Biology Organization.</p><p>Dr. Kanarek’s laboratory is interested in folate metabolism, and the metabolic adaptations of cells as they move around and migrate to new sites. They apply genetic perturbations, biochemical assays, molecular biology, functional genomic screens, and metabolite profiling by mass spectrometry in cell-culture systems and in vivo. They study basic folate biology including folate metabolism, folate-related signal transduction, the oncogenic role of folate and folate homeostasis in normal physiology and pathological conditions.</p><p><strong>Presenter:</strong> Jennifer M. Campbell, PhD (Chief Scientific Officer, Matterworks, Inc.)</p><p>Jennifer M. Campbell, PhD is currently Chief Scientific Officer at Matterworks, a multidisciplinary startup focused on using the power of deep learning on raw mass spectrometric data. Their first product, Pyxis, enables scalable quantitative metabolomics through the use of AI. Prior to Matterworks, Dr. Campbell worked at Novartis Institutes of Biomedical Research, heading up MS and separations within the Cambridge (MA) chemistry department. Dr. Campbell served as technical lead of NeoBase2, an FDA 510K approved assay for newborn screening at Perkin Elmer and Director of Proteomics at BG Medicine. Her career started in instrument development - she obtained her PhD, which focused on the development of a linear ion trap-TOFMS at the University of British Columbia under Don Douglas and she worked for eight years at Applied Biosystems, aiding in the development of all aspects of the MALDI TOF/TOF product line (4700, 4800, and 5800). She has authored numerous papers, patents, and book chapters.</p></blockquote></div>

The Analytical Scientist: A scalable approach to absolute quantitation in metabolomics

A scalable approach to absolute quantitation in metabolomics

We will explore the importance of metabolomics in disease research, and the challenges associated with LC-MS based metabolomics studies.

<div><div id="inner_content_body_text" data-content-id="391110"><p><strong>Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals prevalent across numerous industries and used in many everyday products, but their persistent and bioaccumulative nature raises critical health and environmental concerns. Join us for our upcoming Ask Me Anything (AMA) Q&amp;A session, where you can explore the latest research, regulatory challenges and advancements in the field.</strong></p><p>During this hour-long virtual session, you’ll have the unique opportunity to ask your most pressing questions directly to our expert speaker, Dr. Ian Ross, in real time.</p><h4><strong>About Our Expert</strong></h4><p>We are honored to host Dr. Ian Ross, Global PFAS Practice Lead at CDM Smith and visiting professor at Manchester Metropolitan University. Dr. Ross is a distinguished biochemist specializing in contaminated land assessment and PFAS decontamination. His extensive expertise is reflected in over 100 publications, including a comprehensive 204-page chapter on PFAS in the Emerging Contaminants Handbook.</p><h4><strong>What to Expect</strong></h4><p>Ian will connect with our live audience to address a broad spectrum of topics related to PFAS. While the spontaneous nature of an AMA session makes it impossible to predict every question, we anticipate discussions will focus on:</p><ul><li><strong>PFAS contamination:</strong> Latest research and case studies</li><li><strong>Environmental and health impacts:</strong> Emerging evidence and implications</li><li><strong>Regulatory challenges: </strong>Current frameworks and future directions</li><li><strong>Applications and concerns:</strong> Industrial uses and associated risks</li></ul><div><div><h4><strong>Why Attend?</strong></h4></div></div><ul><li><strong>Expert insights:</strong> Gain knowledge directly from a leading authority in PFAS.</li><li><strong>Live interaction:</strong> Have your questions addressed in real time for personalized answers.</li><li><strong>Exclusive content:</strong> Access in-depth discussions that you won't find anywhere else.</li></ul><p><strong>Space is limited! Register now to secure your spot for this exclusive AMA session.</strong></p><p><span><strong>Presenter:</strong> Ian Ross, PhD </span>(CDM Smith / Global PFAS Practice Lead, Manchester Metropolitan University)</p></div></div>

Technology Networks: Ask Me Anything: PFAS

Ask Me Anything: PFAS

Ian will connect with our live audience to address a broad spectrum of topics related to PFAS.

<div><div><div><p><strong>Alithea Biotechnology was founded in 2019 by Fanny Giannou and Tim Fugmann to support Biopharma globally on the development of innovative therapies targeting HLA-presented peptides. Alithea has a significant track record in the absolute quantification of HLA peptides, off-target toxicity predictions and target discovery.</strong></p><p>In addition, HLA-Compass is Alithea's cloud-accessible HLA peptide database featuring the measurement of a total of 1.4 Million HLA peptides in 4160 healthy tissue, tumor tissue and cancer cell line samples for target validation and off-target toxicity prediction.</p><h5><strong>Why to join this webinar:</strong></h5><ul><li><strong>The timsTOF Ultra can lead to high quality immunopeptidomes from limited sample</strong></li><li><strong>Extensive HLA databases can significantly speed up the T-Cell-Receptor therapy development process</strong></li><li><strong>The time is ripe to bring immunopeptidomics into clinical routine</strong></li></ul><blockquote><p><strong>Presenter:</strong> Tim Fugmann, Ph.D. (Chief Scientific Officer and Co-Founder, Alithea Biotechnology GmbH, Berlin, Germany)</p><p>Tim Fugmann got his Ph.D. from ETH Zurich, on mass-spectrometric discovery of antibody targets and disease biomarkers. Later, he was leading the target discovery efforts at Philochem, before moving to the Max-Delbrueck-Centrum for Molecular Medicine in Berlin. He was later appointed professor for MS-based proteomics at JLU Giessen. In 2019 he co-founded Alithea Bio UG, which is focusing on immunopeptidomics, a topic which Tim Fugmann studied since 2012.</p></blockquote></div></div></div>

Bruker: Unlocking the full potential of immunopeptidomics with the timsTOF Ultra

Unlocking the full potential of immunopeptidomics with the timsTOF Ultra

Alithea has a significant track record in the absolute quantification of HLA peptides, off-target toxicity predictions and target discovery.

The potential of immunopeptidomics with the timsTOF Ultra

<p><strong>Hear about the latest advancements in translational proteomics and metabolomics. From the molecular mechanisms of disease pathology to the latest technological developments in diagnostics and treatment.</strong></p><h5><strong>Key Learning Objectives:</strong></h5><ul><li>Spatial proteomics to assess health and diseases</li><li>Absolute quantitation of human proteins</li><li>The latest innovations in proteomics and metabolomics instrumentation and data analysis</li><li>Biomarker-guided precision medicine</li></ul><h4><strong>Day 1 – October 30</strong></h4><h5><strong>15:00 – 15:50 GMT: The Human Protein Atlas – Creating a Pan-Disease Resource Based on Next Generation Blood Profiling</strong></h5><ul><li>Mathias Uhlén, PhD (KTH Royal Institute of Technology)</li></ul><h5><strong>15:50 – 15:55 GMT:</strong> Networking Break</h5><h5><strong>15:55 – 16:15GMT: Mitigating Sorter-Induced Cellular Stress with Cartridge, Microfuildics-Based Sorting</strong></h5><ul><li>Crystal Montoya (Miltenyi Biotec)</li></ul><h5><strong>16:15 – 16:20 GMT:</strong> Networking Break</h5><h5><strong>16:20 – 16:40 GMT: Speaker to be announced</strong></h5><h5><strong>16:40 – 16:45 GMT</strong>: Networking Break</h5><h5><strong>16:45 – 17:35 GMT: Spatial Tissue Proteomics to Assess Health and Disease</strong></h5><ul><li>Fabian Coscia, PhD (Max Delbrück Center)</li></ul><h5><strong>17:35 – 17:40 GMT:</strong> Networking Break</h5><h5><strong>17:40 – 18:00 GMT: The Sulpho-Phospho-Vanillin Assay: Accurate Lipid Normalization in Quantitative Lipidomics</strong></h5><ul><li>Karri Basso, PhD (University of Florida)</li></ul><h5><strong>18:00 – 18:05 GMT:</strong> Networking Break</h5><h5><strong>18:05 – 18:55 GMT: Proteomics for Cancer Precision Medicine</strong></h5><ul><li>Janne Lehtiö, PhD (Karolinska Instutet)</li></ul><h5><strong>18:55 – 19:00 GMT: </strong>Networking Break</h5><h5><strong>19:00 – 19:20 GMT: How Breakthroughs in Depth, Scale and Speed are Unlocking New Proteomic Discovery</strong></h5><ul><li>Aaron Gajadhar, PhD (Seer Bio)</li></ul><h5><strong>19:20 – 19:25 GMT: </strong>Networking Break</h5><h5><strong>19:25 – 19:55 GMT:</strong> Phantom Metabolites: Unraveling Metabolic Shadows</h5><ul><li>Gary Siuzdak, PhD (Scripps Research Institute)</li></ul><h5><strong>19:55 GMT:</strong> End of Day 1</h5><div><div><div><h5><strong>Who Should Attend:</strong></h5><ul><li>Scientists and researchers seeking to expand their knowledge</li><li>Pharmaceutical and biotech professionals driving drug development</li><li>Clinicians looking to improve patient care</li><li>Academicians exploring new research avenues</li><li>Graduate students and postdoctoral fellows building their careers</li></ul><blockquote><p><strong>Presenter: </strong>Mathias Uhlén, PhD (Professor, KTH - Royal Institute of Technology)</p><p><strong>Presenter:&nbsp;</strong>Christoph Borchers, PhD (Professor, McGill University)</p><p><strong>Presenter:</strong>&nbsp;Janne Lehtiö, PhD (Professor, Karolinska Institutet)</p><p><strong>Presenter:</strong>&nbsp;Crystal Montoya (Senior Marketing Product Manager, Miltenyi Biotec)</p><p><strong>Presenter:</strong>&nbsp;Kari Basso, PhD (Director of Mass Spectrometry Research and Education, University of Florida)</p><p><strong>Presenter:&nbsp;</strong>Fabian Coscia, PhD (Group Leader, Max Delbrück Center)</p><p><strong>Presenter:</strong>&nbsp;Simone Sidoli, PhD (Assistant Professor, Albert Einstein College of Medicine)</p><p><strong>Presenter:</strong>&nbsp;Hagen Magnus Gegner, PhD (Content and Digital Marketing, CTC Analytics)</p><p><strong>Presenter:</strong>&nbsp;Matt Willetts, PhD (Proteomics Applications Manager, Bruker Daltonics)</p><p><strong>Presenter:&nbsp;</strong>Matteo Tardelli, PhD (Senior Biomarker Scientist, Owlstone Medical)</p><p><strong>Presenter:&nbsp;</strong>Aaron Gajadhar, PhD (Director, Strategic Applications, Seer)</p><p><strong>Presenter:&nbsp;</strong>Gary Siuzdak, PhD (Professor and Senior Director, Scripps Research Institute)</p></blockquote></div></div></div>

Technology Networks: Advances in Proteomics & Metabolomics 2024

Advances in Proteomics & Metabolomics 2024 (Day 1)

Hear about the latest advancements in translational proteomics and metabolomics. 

Advances in Proteomics & Metabolomics 2024  (Day 1)

<p><strong>Hear about the latest advancements in translational proteomics and metabolomics. From the molecular mechanisms of disease pathology to the latest technological developments in diagnostics and treatment.</strong></p><h5><strong>Key Learning Objectives:</strong></h5><ul><li>Spatial proteomics to assess health and diseases</li><li>Absolute quantitation of human proteins</li><li>The latest innovations in proteomics and metabolomics instrumentation and data analysis</li><li>Biomarker-guided precision medicine</li></ul><h4><strong>Day 2 – October 31</strong></h4><h5><strong>15:00 – 15:50 GMT: A Novel Strategy for the Absolute Quantification of Human Proteins</strong></h5><ul><li>Christoph Borchers, PhD (McGill University)</li></ul><h5><strong>15:50 – 15:55 GMT: </strong>Networking Break</h5><h5><strong>15:55 – 16:15 GMT: From Single Cells to the Metaproteome: Latest Developments in timsTOF Technology for Proteomics</strong></h5><ul><li>Matt Willetts, PhD (Bruker)</li></ul><h5><strong>16:15 – 16:20 GMT: </strong>Networking Break</h5><h5><strong>16:20 – 17:10 GMT: Single-Cell Chromatin Proteomics to Investigate the Biology of Exceptional Longevity</strong></h5><ul><li>Simone Sidoli, PhD (Albert Einstein College of Medicine)</li></ul><h5><strong>17:10 – 17:15 GMT: </strong>Networking Break</h5><h5><strong>17:15 – 17:35 GMT: Optimizing Metabolomics Workflows: From Sample Preparation to Multi-omics Integration</strong></h5><ul><li>Hagen Magnus Gegner, PhD (CTC Analytics)</li></ul><h5><strong>17:35 – 17:40 GMT:</strong> Networking Break</h5><h5><strong>17:40 – 18:10 GMT: Analyzing Metabolic Responses to a Standardized Meal Challenge Using Exhaled Breath</strong></h5><ul><li>Matteo Tardelli, PhD (Owlstone Medical)</li></ul><h5><strong>18:10 GMT: </strong>Event Close</h5><h5><strong>Who Should Attend:</strong></h5><ul><li>Scientists and researchers seeking to expand their knowledge</li><li>Pharmaceutical and biotech professionals driving drug development</li><li>Clinicians looking to improve patient care</li><li>Academicians exploring new research avenues</li><li>Graduate students and postdoctoral fellows building their careers</li></ul><blockquote><p><strong>Presenter: </strong>Mathias Uhlén, PhD (Professor, KTH - Royal Institute of Technology)</p><p><strong>Presenter:&nbsp;</strong>Christoph Borchers, PhD (Professor, McGill University)</p><p><strong>Presenter:</strong>&nbsp;Janne Lehtiö, PhD (Professor, Karolinska Institutet)</p><p><strong>Presenter:</strong>&nbsp;Crystal Montoya (Senior Marketing Product Manager, Miltenyi Biotec)</p><p><strong>Presenter:</strong>&nbsp;Kari Basso, PhD (Director of Mass Spectrometry Research and Education, University of Florida)</p><p><strong>Presenter:&nbsp;</strong>Fabian Coscia, PhD (Group Leader, Max Delbrück Center)</p><p><strong>Presenter:</strong>&nbsp;Simone Sidoli, PhD (Assistant Professor, Albert Einstein College of Medicine)</p><p><strong>Presenter:</strong>&nbsp;Hagen Magnus Gegner, PhD (Content and Digital Marketing, CTC Analytics)</p><p><strong>Presenter:</strong>&nbsp;Matt Willetts, PhD (Proteomics Applications Manager, Bruker Daltonics)</p><p><strong>Presenter:&nbsp;</strong>Matteo Tardelli, PhD (Senior Biomarker Scientist, Owlstone Medical)</p><p><strong>Presenter:&nbsp;</strong>Aaron Gajadhar, PhD (Director, Strategic Applications, Seer)</p><p><strong>Presenter:&nbsp;</strong>Gary Siuzdak, PhD (Professor and Senior Director, Scripps Research Institute)</p></blockquote>

Advances in Proteomics & Metabolomics 2024 (Day 2)

<div id="inner_content_body_text" data-content-id="391734"><p><strong>Join us for an exclusive, extended webinar spotlighting the cutting-edge innovations propelling the future of battery research and development. This immersive webinar features multiple talks, offering a comprehensive exploration of the groundbreaking advancements in materials and technologies that will transform energy storage.</strong><br><br>Led by industry experts, sessions will provide deep insights into the latest breakthroughs, showcasing how these innovations are shaping the future of battery technology and driving transformative change in energy solutions.<br><br><strong>Attend this webinar to:</strong></p><ul><li>Understand the challenges of using silicon in lithium-ion batteries</li><li>Explore the role of conductive polymer binding in battery performance</li><li>Discover how hyphenating technologies can provide deeper insights into complex materials for battery research</li></ul><blockquote><p><strong>Presenter:</strong> Krystelle Mafina, PhD (Applied Products Leader, PerkinElmer)</p><p><strong>Presenter:</strong> Gao Liu, PhD (Senior Scientist and Group Leader, Lawrence Berkeley National Laboratory)</p></blockquote></div>

Technology Networks: Innovative Technologies and Materials Advancing Battery Research

Innovative Technologies and Materials Advancing Battery Research

A comprehensive exploration of the groundbreaking advancements in materials and technologies that will transform energy storage.

Technologies and Materials Advancing Battery Research

<div><div><div><p><strong>Pure MHC, a pioneer in immunopeptidomics, has partnered with Bruker, a leader in state-of-the-art mass spectrometry, to demonstrate one of Pure MHC’s immunopeptidomics workflows. In this Live from the Lab webinar, tissue sample processing, data acquisition with a Bruker timsTOF Ultra, and data analysis will be reviewed as tools for the development and validation of HLA peptide targets for immunopeptidomic development.</strong></p><p><strong>Key Learning Objectives:</strong></p><ul><li>Get insights into Pure MHC's sample preparation strategies to maximize the yield of immunopeptides from tissue samples</li><li>Discover how the unparalleled sensitivity and robustness of the Bruker timsTOF Ultra empowers users to maximize the potential of their immunopeptide samples</li><li>Understand data processing workflows for both DDA and DIA data processing</li></ul><blockquote><p><strong>Presenter:</strong> Curtis McMurtrey, Ph.D. (Director of Immunoproteomics, Pure MHC, LLC, Oklahoma City, OK, USA)</p><p>Dr. McMurtrey earned his Ph.D. in Microbiology and Immunology from the University of Oklahoma Health Sciences Center in 2010. He currently serves as the Director of Immuno-Proteomics at Pure MHC, LLC.</p><p>Dr. McMurtrey has studied HLA and its role in immunity since 2005. He is a member of American Society for Histocompatibility and Immunogenetics (ASHI) and holds the distinction of having won four ASHI Top Scholar Awards, more than any other scientist in the history of ASHI. Dr. McMurtrey is most notable for his work on West Nile virus epitope discovery and validation with HLA-A*02:01 and B*07:02; epitopes he discovered have been successfully tested in a WNV vaccine (collaboration with Drs. Hansen and Diamond at Washington University). His most recent accolades come from discovery of MR1 ligands from Mycobacterium tuberculosis (Mtb) as well as over 200 novel ligands from Toxoplasma gondii utilizing Deep Ligand Sequencing (DLS).</p><p>Dr. McMurtrey has expertise in BSL-3 containment techniques, protein purification, HLA ligand isolation, HPLC separation, mass spectrometric analysis, ELISPOT, and multicolor flow cytometry as well as provides bioinformatics expertise. To date, he has directed mass spectrometry (both IDA and SWATH) acquisition as well as comparative analysis and interpretation for a wide variety of MHC ligands including those from tuberculosis, toxoplasmosis, influenza, WNV, HIV and multiple cancers. Dr. Curtis McMurtrey oversees DLS acquisition and analyses and also manages database library collection.</p><p><strong>Presenter: </strong>Jason R. Krawic, Ph.D. (Business Development Manager, Pure MHC, LLC, Oklahoma City, OK, USA)</p><p>Dr. Krawic earned his Master’s degree in Biomolecular Sciences from Central Connecticut State University in 2012 before returning to academia and earning his Ph.D. in Microbiology and Immunology from the University of Oklahoma Health Sciences Center in 2024. He currently serves as the Director of Business Development at Pure MHC, LLC.</p><p>Dr. Krawic began his scientific career teaching Microbiology, Biology, and Chemistry to community college students in Connecticut and Oklahoma. He has studied HLA and non-classical MHC molecules since 2018. He is most recognized for discovering multiple isomeric conformations of MR1 ligands, as well as his work in MHC Class I and Class II ligands and cancer immunotherapies.</p><p>Dr. Krawic’s expertise ranges from classical microbiology and bacteriology to HPLC separation, protein purification, negative ion mode small molecule mass spectrometry, DDA, DIA and MRM acquisition and a variety of bioinformatics tools. In addition to his scientific career, Dr. Krawic has more than a decade of experience in sales and retail management. With this skill set he combines his science and sales backgrounds to serve Pure MHC’s customer base.</p><p><strong>Presenter: </strong>Kris Looney, MBA (President, Pure MHC, LLC, Austin, TX, USA)</p><p>As President of Emergent Technologies, the manager of Pure MHC, Kris Looney is responsible for conceiving and executing key business initiatives, developing strategic plans, and managing business processes including accounting, marketing, intellectual property, and business development. Kris has more than two decades of experience as a business generalist with a background in start-ups, management, accounting, marketing, negotiation, and sales.</p><p>Before joining Emergent, Kris served as the COO and Interim CEO of the American Red Cross of Central Texas, where he balanced multiple stakeholder needs with service responsibilities in a competitive philanthropic environment. Prior to that, he was the CFO of Transformation Enzyme Corporation, where his financial management and business development helped a bootstrapped entrepreneurial start-up become a leader in the nutritional supplement market. Kris has a B.A. in marketing and an M.B.A. from the University of Texas at Austin.</p><p><strong>Presenter: </strong>Matt Willetts, Ph.D. (Proteomics Applications Manager, Bruker Scientific LLC, Billerica, MA, USA)</p><p>Matt received his Ph.D. in mass spectrometry with Prof. Malcolm Clench at Sheffield Hallam University in the UK. He then joined Waters as the Technical Marketing Specialist for LCMS and MALDI products, focusing on application development for proteomics-based workflows. Matt joined Bruker in 2010 and is responsible for proteomics applications and support in North America.</p></blockquote><p>&nbsp;</p></div></div></div>

Bruker: Pure MHC's immunopeptidomics workflow with the timsTOF Ultra

Pure MHC's immunopeptidomics workflow with the timsTOF Ultra

Tissue sample processing, data acquisition with a Bruker timsTOF Ultra, and data analysis for immunopeptidomic development.