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

<h3>How to Easily Adapt Your Existing HPLC Methods</h3>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.Although the benefits are clear, many analysts hesitate when it comes to modifying a validated method.<blockquote>Questions quickly arise: How should the flow rate be adjusted? What injection volume is appropriate? Does the gradient need to be recalculated? Will the retention times change?</blockquote>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.Fortunately, there is an easier solution.<h4>Simplify Your HPLC Method Transfer</h4>Moving an existing method to a different column does not have to be complicated.The KNAUER HPLC Method Converter 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.<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">The next step is equally straightforward. Copy the original gradient profile into the converter, and the software automatically generates the corresponding gradient program for the new column.<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">For even greater confidence, the converter also allows you to enter chromatographic peak information. Based on these data, it predicts the expected retention times under the new conditions. While experimental verification on the HPLC system is still recommended, these predictions provide an excellent starting point for method optimization.<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">The converter was developed with one primary objective: making HPLC method adaptation faster, easier, and more reliable 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.<h4>Modernize Your Methods and Improve Laboratory Efficiency</h4><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"><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">One of the major advantages of the KNAUER HPLC Method Converter is its compliance with USP General Chapter &lt;621&gt;.For pharmaceutical laboratories, 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.Current USP, European Pharmacopoeia (Ph. Eur.), and Japanese Pharmacopoeia (JP) 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.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.<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"><h4>Increase Productivity While Reducing Solvent Consumption</h4>Updating HPLC methods is not only about shortening analysis times—it also supports more sustainable laboratory practices.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.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.

HPLC method conversion free and easy

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!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies and Metrohm and posters by Shimadzu/ASMS, Thermo Fisher Scientific/ASMS and Waters Corporation/ASMS!<h3>1. Agilent Technologies: Determination of 41 Per- and Polyfluoroalkyl Substances (PFAS) in Cosmetics</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">Full PDF for download</a></li></ul>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.1,2&nbsp;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.3,4 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.<h4>Experimental</h4><h5>Equipment and materials&nbsp;</h5>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">Agilent 1290 Infinity III LC</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">Agilent 6495D triple quadrupole LC/MS system</a> (G6495D) equipped with an Agilent Jet Stream Electrospray ion source. Agilent MassHunter Workstation software was used for data acquisition and analysis.&nbsp;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">ZORBAX RRHD Eclipse Plus</a> C18, 95 Å, 2.1 × 100 mm, 1.8 µm (part number 959758-902).<h4>Results and discussion&nbsp;</h4><h5>Chromatography and calibration curve linearity&nbsp;</h5>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.<h5>PFAS detection in real cosmetic samples&nbsp;</h5>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.<h4>Conclusion&nbsp;</h4>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.<h3>2. Metrohm: brightRC – Advanced brightener analysis with a response curve</h3>Next-level brightener determination in nonlinear systems<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">Full PDF for download</a></li></ul><h4>WHAT IS BRIGHTRC?&nbsp;</h4>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;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;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;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.<h4>HOW DOES BRIGHTRC WORK IN PRACTICE?&nbsp;</h4>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;For sample measurement, viva 4.0 provides two practical approaches:&nbsp;<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>WHEN TO USE BRIGHTRC?&nbsp;</h4>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.<h3>3. Shimadzu / ASMS: PFAS Analysis of Leachate: Evaluating Key Sample Preparation and LC–MS/MS Parameters for Improved Performance</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">Full PDF for download</a></li></ul>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">Shimadzu LCMS-8060</a> 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).<h4>Results&nbsp;</h4>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).<h4>Conclusion&nbsp;</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>4. Thermo Fisher Scientific / ASMS: Ultra-high throughput proteomics at &gt;500 samples/day using advanced <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/398">Vanquish Neo UHPLC</a> methods with <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1959">Orbitrap Astral Zoom MS</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">Full PDF for download</a></li></ul>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.<h4>Materials and methods</h4><h5>LC-MS analysis&nbsp;</h5>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">Vanquish Neo UHPLC system</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">Orbitrap Astral Zoom MS</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;<h5>Data analysis&nbsp;</h5>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">Thermo Scientific Proteome Discoverer </a>3.3 SP1 with CHIMERYS 5.0 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<h4>Conclusions&nbsp;</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>5. Waters Corporation / ASMS: Assessing Relative Response of Four European-Regulated PFAS in Human Serum Using Cyclic Ion Mobility MS</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009410_c98e7c87ec.pdf">Full PDF for download</a></li></ul><div><div><section><div><div><div><div><div><div>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.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">SELECT SERIES Cyclic IMS</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.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.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.</div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 28, 2026

Article

Product

Application

Academy

Science and research

Software

Video

Poster

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

Thermo Fisher Scientific

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

LabRulez

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

KNAUER

New Food magazine

Agilent Technologies

SelectScience

SCIEX

Join this virtual panel to hear experts discuss new liquid chromatography technologies and techniques for separation of dietary supplements.
Health-conscious consumers are increasingly seeking supplements that deliver targeted health benefits. Meeting the demands of this growing market while maintaining consumer trust, cost control, and speed to market presents a host of analytical challenges.
Join us for an informative webinar focused on the evolving landscape of dietary supplements, where industry experts will discuss standard methods, advanced analytical techniques, and quality control. Learn how the standard methods are established and how to navigate common compliance challenges using advanced analytical techniques.
We will explore the latest chromatography technologies that improve the accuracy and reliability of supplement testing. Gain insights into strategies for ensuring product consistency and purity and understand the importance of ingredient verification for consumer safety and trust.
Don’t miss this great opportunity to deepen your understanding of the supplement landscape and stay ahead in the competitive dietary supplement market by leveraging the latest chromatography technologies!
Key learning points
<ul>
<li>Learn how standard methods are developed and how to incorporate new chromatographic techniques to maintain regulatory compliance
</li>
<li>Discover the latest innovations in chromatography and how these technological advancements can revolutionize your analysis
</li>
<li>Gain insights from industry experts to improve workflow efficiency and ensure product consistency and consumer trust
</li>
</ul>
<blockquote>
Presenter: Jinchuan Yang, PhD (Waters Corporation)
</blockquote>
<blockquote>
Dr. Jinchuan Yang is a Principal Scientist at Waters Corporation, and a subject matter expert in food and environmental applications, polymer chromatography, and LC and MS technologies. Since he joined Waters in 2002, his roles at Waters have mainly focused on application development, market development, and support for R&amp;D and training. He is an active participant in technical stakeholder groups at AOAC International and USP, serving as an expert panel member in AOAC SPIFAN and participating in review, recommendation and muti-lab testing of AOAC methods.
</blockquote>

New Food: How innovation has shaped dietary supplement testing for quality and compliance

How innovation has shaped dietary supplement testing for quality and compliance

The evolving landscape of dietary supplements, where industry experts will discuss standard methods, advanced analytical techniques, and quality control.

How innovation has shaped dietary supplement testing

Tailing, fronting, peak doubling are all topics that we will cover during troubleshooting.After the session, we will be able to identify causes and avoid errors.<blockquote>Presenter: Giorgio Ferlat (MSc, EMEAI IDO Product Specialist, Chemistries and Supplies, Agilent Technologies)Giorgio achieved his Master Degree in Chemistry at the University of Trieste, Italy and has over 25 years of analytical chemistry experience, both in the laboratory and in the field, with strong expertise.He has over 15 years of experience in consultative consumable sales and business development covering both national and international positions.</blockquote>

Agilent Technologies: HPLC Beginner Webinar Series

Troubleshooting and Everyday Routine (HPLC Columns)

Tailing, fronting, peak doubling are all topics that we will cover during troubleshooting. 

The hunt goes on, let's find the needle in the haystack:Join us for an insightful webinar where we delve into the world of chemometrics to enhance your data interpretation skills. Learn how to select the appropriate statistical tools to make sense of your data and identify features of interest by visualizing trends and changes using various clustering and grouping approaches. We will also cover the construction of class prediction models to differentiate between sample cohorts effectively.Finally, gain a deeper understanding of your findings by mapping them onto relevant metabolomic pathways, providing essential context for your research.<blockquote>Presenter: Hannah Florance (Application Specialist LC/MS, Agilent Technologies)Hannah has had multiple roles in the life sciences, starting as a protein chemist, before moving into proteomics and then metabolomics. A major part of her time working in academia involved running LC and GCMS core facilities supporting projects ranging from synthetic biology to cancer research. She is currently an LCMS applications specialist for Agilent. Presenter: Shaun Reeksting (Application Specialist LC/MS, Agilent Technologies)Shaun completed his PhD in Biochemistry, specializing in molecular parasitology a focus in metabolomics. Following his doctoral studies, he worked in accredited industry laboratories and academia core-facilities before joining Agilent Technologies as an LC/MS Application Engineer.In this role, Shaun focuses on environmental small molecule applications using LC-QTOF, with a strong emphasis on software tools and data interpretation.</blockquote>

Agilent Technologies: MassHunter Masterclass Months

Finding the Needle in the Haystack Part II; All Things Chemometric

Join us for an insightful webinar where we delve into the world of chemometrics to enhance your data interpretation skills.

All Things Chemometric

In our last session, we will tackle compliance as we will delve into the critical aspects of compliance and its significance for your laboratory.Discover what compliance entails and why it is essential for maintaining the integrity and reliability of your lab’s operations. We will explore the various configurations available to meet your specific regulatory requirements, ensuring you have the necessary tools and knowledge to stay compliant.Additionally, gain valuable insights into content management, audit trails, and applications that streamline your compliance processes, making your lab more efficient and secure.Don’t miss this opportunity to enhance your understanding of working in a regulated environment and ensure your lab’s success.<blockquote>Presenter: &nbsp;Christian Hegmanns (Application Specialist LC/MS, Agilent Technologies, Waldbronn, Germany.)Christian Hegmanns is a state-certified food chemist and works at Agilent as an LC/MS application specialist.With over 10 years of experience in the field of instrumental analysis, Christian develops customer-oriented solutions for a variety of applications with a focus on food analysis.</blockquote>

MassHunter Compliance – Working in a Regulated Environment

We will tackle compliance as we will delve into the critical aspects of compliance and its significance for your laboratory.

Therapeutic synthetic oligonucleotides face unique analytical challenges in late-stage development. Meeting stringent regulatory requirements demands highly specific and sensitive methods like LC-MS. However, typical QC analysts struggle with the complexity of purity, assay and impurity profiling due to limitations in current chromatography and mass spectrometry data systems.This webinar will explore a paradigm shift in software that streamlines the analytical workflow while maintaining data integrity and compliance. Our expert speakers will also discuss how to apply the Oligo Analysis Accelerator for OpenLabs CDS to your oligonucleotide therapeutic testing, helping you to optimize synthesis and purification.Attend this webinar to:<ul><li>Discover how fit-for-purpose software for LC-MS analysis in QC lot release can save time and enhance quality</li><li>Understand the fundamentals of ion-pair reversed phase LC-MS for oligonucleotides</li><li>Discover how to use single quadrupole detector for impurity profiling of anti-sense oligonucleotides</li></ul><blockquote>Presenter: Charlotte Lekieffre, PhD (Biopharma Application Specialist, Agilent Technologies)Charlotte holds a PhD from the Ecole Polytechnique Fédérale de Lausanne and has 10 years' experience in developing analytical workflows for mass spectrometry. She now brings her expertise to Agilent's customers as an LCMS Application Specialist in the BioPharma sector.Presenter: Kevin Koelliker (Lab Informatics Application Engineer at Agilent Technologies)Kevin is a Lab Informatics Application Engineer for Agilent Technologies. He studied Chemistry and Business informatics, and he worked as a Lab Technician, and as a Field Service Engineer before joining Agilent. Combined he has more than 15 Years of Experience in the analytical laboratory and therefore met already multiple different workflows. He works together with the Lab Informatics Product Specialists to demonstrate the Power of OpenLab, and to customize it to meet the needs of our Customers.</blockquote>

Technology Networks: Mastering QC Oligonucleotide LC-MS in GMP Labs

Mastering QC Oligonucleotide LC-MS in GMP Labs

This webinar will explore a paradigm shift in software that streamlines the analytical workflow while maintaining data integrity and compliance.

In this webinar, Novartis will show how they are digitalizing and fully automating systems across large molecule R&amp;D. By integrating liquid handling systems, mass spectrometers, and the Genedata Biopharma platform, Novartis has implemented a ‘full-circle’ mass spectrometry (MS) workflow automation for standardized analyses. Their automated MS workflow includes analytics requests by laboratory scientists, barcoding, sample preparation, mass spectrometry, data analysis, and reporting. Automating repetitive tasks increases efficiency and allows scientists to focus on more complex projects and advanced sample analytics.Join Felix Stemmer, Senior Scientist II, and Martin Jockel, Senior Expert in Data Science, from Novartis as they illustrate how they are streamlining processes and accelerating operations.Key learning objectives<ul><li>Discover how Novartis is automating complex MS-based workflows in biopharma R&amp;D</li><li>Learn how Novartis has implemented a ‘full-circle’ MS analytics platform, integrating high quality MS data into an enterprise-level biotherapeutics discovery platform</li><li>Hear how Novartis scientists significantly increased research efficiency by using MS analytics workflows</li></ul>Who should attend?<ul><li>Biopharmaceutical analytical scientists, laboratory leaders, and directors who are looking to develop and automate MS-based analytics in biotherapeutic R&amp;D.</li><li>IT professionals, automation architects, and engineers looking to support organizational-level data platforms for digitalization of complex, multidimensional data streams in biologics discovery workflows.</li></ul>Certificate of attendanceAll webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.<blockquote>Presenter: Martin Jockel (Senior Expert I Data Science, Novartis)Martin Jockel, a bioinformatics graduate from the Technical University of Applied Sciences in Bingen, has worked for Novartis for the past 12 years. His proficiency in crafting custom software solutions has enhanced laboratories’ capabilities in data storage and visualization, leading to optimized workflows and increased efficiency.In recent years, Jockel has further broadened his scope to include lab automation, ensuring these processes are integrated into Novartis’ technical ecosystem. For the past three years, he has been contributing to the Genedata project at Novartis as a developer and as the Scrum Master for the Technical Team.Presenter: Felix Stemmer (Senior Scientist II, Novartis)Felix Stemmer has a background in bioengineering from the Karlsruhe Institute of Technology where his passion for lab automation began. Now working at Novartis, Stemmer is currently working on a collaborative project with Genedata, integrating liquid handling systems and analytical instruments into Genedata’s respective software.Before joining Novartis, Stemmer worked on a series of automation projects including miniaturizing downstream processing and CHO and HEK upstream processing, highlighting his extensive experience in automation.</blockquote>

SelectScience: Full-Circle MS Workflow Automation at Novartis

Full-Circle MS Workflow Automation at Novartis

Novartis will show how they are digitalizing and fully automating systems across large molecule R&D.

Learn how to extend your NGS capabilities with the Magnis NGS Prep System.We are thrilled to invite you to our upcoming webinar on how to Extend your NGS Capabilities with the Magnis NGS Prep System.Discover the latest NGS technologies ensuring that labs produce consistent, high-quality data, no matter the application or sample requirements.In today’s fast-paced scientific environment, maximizing lab efficiency and productivity is crucial. The Magnis NGS Prep offers a comprehensive solution designed to streamline NGS library preparation workflows, reduce manual errors, and accelerate research outcomes.Webinar Learning:<ul><li>Automated Processes: Magnis System automates routine tasks, freeing up valuable time for scientists to focus on critical experiments.</li><li>Library Quality: &nbsp;Magnis System produces robust and reproducible results enabling an increased focus on data analysis.</li><li>Versatility: Magnis System adapts to your samples requirements with SureSelect catalog and custom panel options supporting a range of NGS applications.</li></ul><blockquote>Presenter: Mary Buchanan (Director of Product Marketing - Genomics Division, Agilent Technologies)Mary is Director of product management at Agilent, covering the NGS automation, microarray and functional genomics portfolios.Presenter: Andrea Citterio (Molecular Biologist, IRCCS E.Medea)Andrea has a Masters degree in industrial biotechnology and postgraduate student in medical genetics.Presenter: Fabiana Mambretti (Molecular Biologist, IRCCS E.Medea)Fabiana has a Masters degree in industrial biotechnology and postgraduate student in medical genetics.Presenter: Elena Panzeri (Molecular Biologist, IRCCS E.Medea)Elena successfully gained a Master’s degree in medical biotechnology, a PhD in neuroscience and postgraduate student in medical genetics.</blockquote>

Agilent: Extend your NGS Capabilities with the Magnis NGS Prep System

Extend your NGS Capabilities with the Magnis NGS Prep System

Discover the latest NGS technologies ensuring that labs produce consistent, high-quality data, no matter the application or sample requirements.

Innovating for the future with cutting-edge solutionsGiven the speed and scale of progress with Artificial Intelligence (AI) in today’s world, researchers and professionals across various scientific fields from the Danaher group of companies have stepped up in the game of AI and advanced technology to seek breakthrough solutions to age-old problems.<h3>Agenda</h3><h5>Introduction to Danaher</h5><h5>3D biology and the paradigm shift in next generation drug discovery</h5><ul><li>Presented by Molecular Device</li></ul><h5>AIVIA - introduction to AI based image analysis</h5><ul><li>Presented by Leica Microsystems</li></ul><h5>Analytical advances in the characterization of mRNA</h5><ul><li>Presented by Phenomenex</li></ul><h5>Unlocking the power of data with IDBS</h5><ul><li>Presented by IDBS</li></ul><h5>The power of AI: from planning and the lab to success in life sciences</h5><ul><li>Presented by Abcam</li></ul><h5>Practical approaches to EV characterization and purification: leveraging nano Flow Cytometry and ultracentrifugation for clinical and commercial success</h5><ul><li>Presented by Beckman Coulter Life Sciences</li></ul><h5>AI-MS/MS-AI mass spectrometry application with AI</h5><ul><li>Presented by SCIEX</li></ul><h5>Work smarter, not harder: emerging lessons on data in biopharma R&amp;D</h5><ul><li>Presented by Genedata</li></ul><h5>In silico process development with mechanistic chromatography modelling</h5><ul><li>Presented by Cytiva</li></ul><h5>CRISPR meets NGS: the powerful duo for drug discovery</h5><ul><li>Presented by IDT</li></ul><h3>Presenter:</h3><ul><li>Gokhale, Aarti Arun, Ph.D (Sr Manager, Gene Reading, APAC, IDT)</li><li>Teo Chong Kok Ph.D (Scientific Account Manager, Genedata)</li><li>Edward Lim (General Manager, SEA, Beckman Coulter Life Sciences)</li><li>Taryn Guinan, Ph.D (Sr Applications Specialist, ANZ, Leica Microsystem)</li><li>Edward Wong, Ph.D (Sr Manager, Gene Writing &amp; Editing, APAC, IDT)</li><li>Stephan Waldert, Ph.D (Director, Data Science &amp; AI, Abcam)</li><li>Manish Manakchand (Commercial Director, Asia, IDBS)</li><li>Namrata Saxena (Technical Manager, Phenomenex)</li><li>Hans Lin (Field Application &amp; Market Development Specialist, SCIEX)</li><li>Mok Wei Chuan (Go Silico Sales Specialist, APAC, Cytiva)</li><li>Minho Tak, Ph.D (Sr Application Scientist, JAPAC, Molecular Device)</li></ul>

SCIEX: AI and technology advancements from Danaher

AI and technology advancements from Danaher

In this live webinar, let’s explore how Danaher group of companies leverage AI and technologies in providing advanced solutions.

The research team has published two papers on their results with a non-terminal cell line and is currently revising their comprehensive data. They developed a specialized workflow to map interactions between COSMIC, alternative proteins, and reference proteins. Using cross-linking in large-scale analyses and literature information from databases like STRING, they enriched their reference protein network. Additionally, they performed GO term analysis to understand the functional roles of alternative proteins.&nbsp;Their process involved creating a database with over 400,000 possible sequences, narrowing it down to 100,000 for more manageable analysis. They used various databases at different stages to ensure comprehensive interrogation. They successfully identified specific alternative proteins and their interactions with reference proteins, contributing to cell proliferation and other functions.&nbsp;To validate their findings, they used modeling techniques and crystallographic information from reference proteins. Despite some alternative proteins not matching known domains, cross-linking provided valuable insights. This innovative approach allowed them to identify and confirm the functions of alternative proteins, offering significant contributions to the understanding of protein interactions and cellular functions.&nbsp;Learning points:<ul><li id="isPasted">Workflow Development for Protein Interaction Mapping</li><li>Database Management and Analysis &nbsp;&nbsp;</li><li>Validation and Functional Analysis</li></ul>Who should attend:<ul><li>Researchers and professionals in the fields of proteomics, genomics, and cancer biology, specifically those who are focused on protein interactions, alternative protein functions, and the development of innovative workflows for mapping these interactions.</li><li>Bioinformaticians and molecular biologists interested in the implications of proteogenomics in disease mechanisms and biomarker discovery.</li></ul><blockquote>Presenter: Tristan Cardon (Univ. Lille, Inserm U1192 – Protéomique réponse inflammatoire spectrométrie de masse (PRISM))</blockquote>

Thermo Fisher Scientific: Revealing the ghost proteome and its partners in ovarian cancer cells through proteogenomic characterization.

Revealing the ghost proteome and its partners in ovarian cancer cells through proteogenomic characterization

This approach allowed identifying and confirming the functions of alternative proteins.

Revealing the ghost proteome

<div>Join us for the first-ever Semicon e-Symposium, a one-day virtual event featuring expert discussions on crucial topics in the semiconductor industry, including yield improvement, sustainability, PFAS analysis, and advanced analytical techniques.Here’s why you don’t want to miss this:<ul><li>Discover how leading-edge analytical solutions are driving innovation, featuring a plenary talk by Dr. Stefanie Fingerhut from Merck KGaA on transforming semiconductor materials for mobile technology.</li><li>Explore key advancements in vacuum technology and regulatory updates.</li><li>Gain actionable insights from experts in GC-ICP-MS, UV-Vis spectroscopy, and a special talk by Inès Tendero from Technic France on the analysis of silicon in high-purity matrices.</li></ul>This is a must-attend event for anyone looking to stay informed on key trends and cutting-edge advancements in semiconductor manufacturing. Don’t miss out—register today!<h4>Agenda</h4>8:30 a.m. How Analytical Techniques Contribute to Yield Improvement and Environmental Sustainability in the Semiconductor Industry<ul><li>Gernot Hudin, Agilent Technologies</li></ul>9:00 a.m. Plenary Talk: The Hidden Connection: Merck's Advanced Analytical Techniques Transforming Semiconductor Materials for Mobile Technology<ul><li>Dr. Stefanie Fingerhut, Merck KGaA</li></ul>9:45 a.m. Agilent ICP-MS Supplies Selection Tips for the Semiconductor Industry&nbsp;<ul><li>Alain Desprez, Agilent Technologies</li></ul>10:00 a.m. PFAS 'Forever Chemicals'—Forever a Problem?<ul><li>Shifen Xu, Agilent Technologies</li></ul>10:30 a.m. Quantitative Workflow for the Analysis of PFAS in Semiconductor Lubricant with LC-MS (Q-TOF)<ul><li>Peter Kornas, Agilent Technologies</li></ul>11:00 a.m. Agilent Vacuum in Semiconductor Market<ul><li>Fabio Ardissone, Agilent Technologies</li></ul>11:30 a.m. GC, GC/MS, and GC-ICP-MS in Semiconductor: What, Why, and How?<ul><li>Stephane Decouflet, Agilent Technologies</li></ul>12:00 p.m. Lunch break1:00 p.m. Semiconductor Application of Single Particle ICP-MS<ul><li>Yoshinori Shimamura, Agilent Technologies</li></ul>1:30 p.m. Is It Possible to Identify Organic Solvents by ICP-MS?<ul><li>Katsuo Mizobuchi, Agilent Technologies</li></ul>2:00 p.m. Special talk: Analysis of Si in High-Purity Matrix for Semiconductor Application&nbsp;<ul><li>Inès Tendero, Technic France</li></ul>2:30 p.m. Measuring the Band Gap Energy Using UV-Vis Spectroscopy<ul><li>Marcus Schulz, Agilent Technologies</li></ul>2:45 p.m. Recap—closing session<ul><li>Gernot Hudin, Agilent Technologies</li></ul></div>

Semicon e-Symposium 2024