In this episode of ‪ChromatographyTalk‬, ‪Organomation‬ General Manager David Oliva sits down with Imad Haidar Ahmad, Scientific Research Director at Amgen leading separations for Discovery Chemistry and Externalization. Imad's career spans Novartis, Merck, and now Amgen, and his research on computer-assisted method development has landed multiple front covers in Analytical Chemistry.We dig into how his group builds retention models from as few as nine lab experiments to map an entire separation landscape — replacing weeks of trial and error with a resolution map you can query and rebuild from. Imad breaks down where this modeling approach struggles (large molecules, SFC, fully autonomous method development), walks through two-dimensional liquid chromatography in plain terms for anyone who's only worked in 1D, and shares the story behind his group's greenness-score mapping work — including where swapping acetonitrile for methanol worked, and where it didn't.We also talk career advice: what a typical day looks like leading a discovery-stage separations team, how undergrad and grad students can bridge the academia-to-industry gap, and what Imad sees as the field's biggest unsolved problem.<h3>Video Transcription</h3>Chromatographic method development is increasingly moving beyond trial and error toward workflows built on modeling, automation, multidimensional separations, and smarter use of data. In a recent interview, Haidar Ahmad discussed how these approaches are changing pharmaceutical analysis, why understanding the fundamentals of chromatography remains essential, and where some of the biggest opportunities in separation science still lie.Ahmad’s route into analytical chemistry was not entirely planned. As an undergraduate, he initially found inorganic and organic chemistry particularly attractive, but a final-year project focused on the analysis of additives in bread introduced him to the possibilities of analytical chemistry. During his PhD, his research moved into polymer analysis and structure–property relationships. His interest in chromatography deepened when he encountered two-dimensional liquid chromatography (2D-LC), particularly its ability to reveal forms of polymer heterogeneity that could not be adequately characterized using a single separation technique. This eventually led to postdoctoral work with Peter Carr, where Ahmad focused on chromatographic separations and the fundamentals of chromatography.His subsequent career in the pharmaceutical industry exposed him to different stages of drug development, from late-stage method development and validation to drug substance characterization, purification, and finally discovery-stage separations. That breadth of experience has shaped his view of chromatography as both a scientific discipline and a practical problem-solving tool. In late-stage development, the objective may be a highly robust method capable of successful validation and transfer between laboratories. In discovery, by contrast, speed becomes critical because teams may be working with thousands of molecules while trying to identify the best candidates to advance.&nbsp;<h4>Discovery-stage chromatography: speed, prioritization, and throughput</h4>For a separations team supporting drug discovery, the working day is shaped by a constant flow of requests from medicinal chemistry and other partner groups. The challenge is not simply to perform the analyses, but to decide which requests are most urgent, remove bottlenecks, communicate with project teams, and continuously improve existing workflows.According to Ahmad, one of the most important questions is whether a task can be done faster or in a more high-throughput way. Discovery laboratories operate under strong time pressure, and efficiency therefore becomes part of the scientific strategy rather than merely an operational concern. As he describes it, the work combines science, prioritization, leadership, and communication, all with the aim of moving the most important projects forward as quickly as possible.<h4>In silico modeling: letting the computer perform the experiments</h4>One of the central themes of Ahmad’s work is in silico chromatographic modeling. In practical terms, the approach begins with a carefully designed set of laboratory experiments—often around nine runs. The resulting data are fed into software that builds retention models describing how analyte retention changes with variables such as mobile-phase composition and temperature.The software can then generate a resolution map representing a much larger separation space than could realistically be tested experimentally. Instead of running dozens or hundreds of conditions by trial and error, the analyst can identify regions where critical peak pairs are predicted to achieve the best separation.For Ahmad, the value of these maps goes beyond simply finding the condition with the highest resolution. Each point on the map represents a chromatographic condition, while the visual output shows where poor and strong separations are expected. A broad region of good resolution is particularly useful because it points toward a more robust operating space rather than a narrowly defined optimum that might be sensitive to small variations in experimental conditions.He therefore prefers to think of a chromatographic model as a map or database, rather than simply an optimization tool. If an impurity later disappears from the process, the corresponding peak can be removed from the model and new conditions selected without repeating the complete experimental study. Conversely, if a new degradation product appears during stability studies, the peak can be added and the existing model used to search for updated separation conditions.<h4>Why trial and error still has a place</h4>Modeling does not mean that conventional trial-and-error method development has disappeared. Ahmad points out that it remains useful in early discovery, particularly for fit-for-purpose methods where speed is more important than achieving a fully optimized separation.The situation changes later in development. A method intended for validation, transfer, or long-term routine use carries much greater risk. Trial and error may identify a condition that appears satisfactory without revealing whether it represents the most robust region of the separation space. If that method later fails during transfer or routine operation, the consequences can be costly.For late-stage methods, the additional investment required to build a model can therefore reduce risk over the much longer lifetime of the analytical procedure.<h4>Models are only as good as the experiments behind them</h4>Chromatographic modeling is not automatic proof against poor method development. Ahmad compares the technology to a GPS: it is highly useful, but only if the analyst understands where they are trying to go.Careful experimental design remains essential. Incorrect dwell-volume or column-volume information, as well as insufficient column re-equilibration, can produce misleading predictions. Importantly, these problems may not be obvious when the experimental runs used to construct the model are compared with their calculated values. They may emerge only when the software begins predicting new conditions within the modeled design space.Modeling is also easier for some separations than others. Ahmad describes reversed-phase LC of small molecules as comparatively straightforward, while large biomolecules are more challenging because their retention can be highly sensitive to small changes in mobile-phase composition and temperature.Other separation modes present additional difficulties. Ahmad notes that his teams have found supercritical fluid chromatography (SFC) particularly challenging to model successfully. Fully autonomous method development remains another unresolved goal: current tools can automate parts of optimization, but analyst input is still required.<h4>Why two dimensions can reveal what one dimension cannot</h4>Ahmad’s early interest in 2D-LC came from polymer characterization. He explains the principle simply: one-dimensional chromatography may answer one question about a sample, while two complementary dimensions can answer two.Two copolymers, for example, may have similar molecular size and therefore coelute in size-exclusion chromatography. A second separation mechanism based on interaction with a stationary phase may distinguish them according to chemical composition. Combining both dimensions provides a more complete description of complex distributions involving molecular weight, composition, sequence, and other forms of heterogeneity.Historically, the complexity of both instrumentation and software limited wider adoption of 2D-LC. Ahmad recalls systems requiring several computers and multiple software packages. That situation has improved substantially, and 2D-LC is now easier to implement across research and pharmaceutical development.Nevertheless, modeling multidimensional separations still presents challenges. While models can be built for individual fractions or dimensions, current software does not easily identify a common optimum across multiple models simultaneously. Much of this comparison still requires manual work.<h4>Bringing sustainability into method development</h4>Another area where Ahmad sees room for change is green analytical chemistry.Traditional pharmaceutical method development has understandably prioritized resolution, sensitivity, robustness, and turnaround time. Sustainability has often been treated as a secondary consideration, particularly at the analytical scale, where solvent use appears small compared with preparative chromatography or manufacturing.That mindset is beginning to change. Ahmad argues that greenness metrics should increasingly be incorporated directly into method-development software. If analysts could immediately see how changes in flow rate, gradient conditions, solvent choice, or other parameters affect the environmental profile of a method, sustainability could become part of routine optimization rather than an assessment performed after the method has already been developed.The objective, however, is not to pursue the greenest possible method regardless of analytical performance. Ahmad emphasizes the need to develop methods that are as green as possible while remaining fit for purpose. Modeling can potentially help balance these competing requirements by identifying conditions that preserve separation performance while allowing greener solvents or alternative chromatographic conditions to be introduced.<h4>Advice for young chromatographers: do not treat HPLC as a black box</h4>For students learning chromatography, Ahmad’s central recommendation is straightforward: do not treat the HPLC system as a black box.Rather than collecting chromatograms by making random changes, he encourages analysts to build a mental model of the separation. When temperature, gradient, or another parameter is changed, they should ask why retention or selectivity changed and use each experiment to improve their understanding of the system.He also recommends making use of educational resources on chromatographic fundamentals and method development and, importantly, not being afraid to experiment with instrument conditions. Modern systems are robust, but the analyst still needs to understand the underlying separation science in order to use them effectively.The same proactive attitude applies to career development. Ahmad strongly encourages students to seek industry internships and make connections beyond their own institutions. Conferences and poster sessions can provide natural opportunities to meet scientists from industry, discuss research, and ask about internship opportunities. Based on his own experience working with undergraduate and graduate interns, these collaborations can benefit both students and research teams and may strongly influence later academic or career decisions.<h4>What still needs to be solved?</h4>Asked about the biggest unresolved challenges in separation science, Ahmad does not begin with technology. Instead, he points to a shortage of well-trained analytical chemists with a strong understanding of chromatographic fundamentals.Alongside education, he identifies several technical opportunities. One is truly autonomous method development, where an instrument and software could optimize a separation without continuous analyst input. Another is the ability to predict chromatographic selectivity directly from molecular structure.Such capability could be especially valuable in high-throughput discovery environments. If a laboratory could predict which stationary phase and conditions were most likely to separate a particular set of compounds or isomers before entering the laboratory, method development could become considerably faster and more efficient.Taken together, Ahmad’s perspective points toward a future in which chromatography becomes increasingly model-driven, automated, multidimensional, and sustainability-aware. But the technology does not eliminate the need for chromatographic knowledge. On the contrary, as analytical tools become more powerful, understanding the fundamentals may become even more important—the software can explore the separation space, but the scientist still needs to know what question to ask and how to interpret the answer.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote><blockquote><h4>Concentrating on Chromatography Podcast</h4>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!You can find Concentrating on Chromatography Podcast in podcast apps:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL">Spotify</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185">Apple podcast</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography">podscan</a></li></ul>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos">YouTube channel</a></blockquote>

 In Silico Modeling, 2D-LC & Green Chromatography: Imad Ahmad on the Future of Method Development

Researchers from CATRIN at Palacký University, together with colleagues from VSB – Technical University of Ostrava and Charles University, have developed a new graphene ink for producing inexpensive and sensitive printed sensors. Using single-atom engineering, they incorporated copper atoms into the material, enabling highly sensitive detection of dopamine – a neurotransmitter responsible for transmitting signals between nerve cells. The approach, <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">presented in the journal Advanced Science</a>, has strong potential for use in medical diagnostics.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp 117w," sizes="100vw" width="1920" height="2560">Single-atom engineering makes it possible to control the chemical reactivity of materials at the level of individual atoms. Its broader application in medical diagnostics has so far been limited by a lack of atomically engineered materials and printable inks based on them. Researchers have now developed a new class of single-atom-doped graphene materials as well as an ink for producing sensitive printed sensors. Copper proved particularly effective for dopamine detection, which is important for biomedical research and the development of advanced diagnostic technologies for diseases including Alzheimer’s disease.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp 117w," sizes="100vw" width="1920" height="2560">“The NGA-Cu ink we developed enables the production of fully inkjet-printed, sustainable paper-based electrodes at very low cost. Each sensor requires only 1.3 micrograms of active ink, costs approximately one Czech koruna and provided a stable response for at least three months. The ink is also fully compatible with commonly available materials inkjet printers. This creates significant potential for producing affordable, digitally designed sensors whose function can be tailored atom by atom,” said&nbsp;the corresponding author of the <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">paper</a> Michal Otyepka.The basis for this new generation of single-atom inks was nitrogen-doped graphene acid (NGA), which CATRIN researchers developed several years ago. They have now progressively enriched it with different individual metal atoms, including copper, iron and manganese.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp 117w," sizes="100vw" width="1920" height="2560">“We found that the electrochemical response depends fundamentally on the type of atom used. While copper atoms significantly enhance the dopamine signal, other metals suppress it. What matters, therefore, is not only the presence of isolated metal atoms but also the specific metal involved. This is a very important finding for the further development of biosensors,” explained first author Martin-Alex Nalepa.The published results introduce a new class of sensing materials with considerable potential for medical diagnostics. The researchers present a broadly applicable platform for developing graphene inks containing individual metal atoms and open the way towards scalable, reproducible and material-efficient production of advanced electrochemical sensors.&nbsp;“We are only at the beginning and are fascinated by the new possibilities opening up before us. We can see that by changing the type of atom, we can control the sensitivity and selectivity of the sensor. In addition to dopamine, we can also determine immunoglobulins very precisely – antibodies whose levels and types may serve as important indicators of autoimmune or infectious diseases,” emphasised Radek Zbořil, a co-author of the paper.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp 117w," sizes="100vw" width="1920" height="2560">Electrochemical biosensors can find applications not only in medicine but also in food quality control, drinking-water monitoring and environmental pollution monitoring. Their key components are functionalised electrodes, and graphene-based materials have proved particularly suitable for their production. A key factor in the success of the Olomouc researchers was the targeted preparation of graphene ink with the required properties.The research was supported by the TECHSCALE project under the Johannes Amos Comenius Programme.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics: Project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587) is financed by the MEYS OP JAC Excellent research programme, supported by ERDF/ESF." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg 245w," sizes="100vw" width="620" height="87"><blockquote><h4>Article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">Single-Atom-Enhanced Fully Inkjet-Printed Electrochemical Sensor for Dopamine Detection</a></h4>Martin-Alex Nalepa, David Panáček, Vítězslav Hrubý, Matěj Jendřišák, Rostislav Langer, Michal Langer, Petr Jakubec, Ivan Dědek, Vojtěch Kupka, Michal Mazur, Radek Zbořil, Michal OtyepkaAdv. Sci., 2026, e76796<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1002/advs.76796">https://doi.org/10.1002/advs.76796</a><h6>licenced under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote><h4>Abstract</h4>Single-atom (SA) engineering offers atomic-level control over interfacial reactivity, yet the lack of printable SA-based inks hinders its practical translation into electrochemical sensing. Here, a fully water-based inkjet-printable ink is introduced based on nitrogen-doped graphene acid (NGA) hosting atomically dispersed Cu centers (NGA-Cu-ink). The ink enables digitally controlled, spatially defined deposition and fabrication of low-cost ($0.04 per sensor), fully inkjet-printed sustainable electrodes on paper. A comparison of NGA functionalized with different SA dopants (Cu, Mn, Fe, Ce) identifies a strong dopant-dependent electrochemical response, with Cu uniquely enhancing the analyte signal while other dopants suppress it, demonstrating that SA identity is a decisive design parameter in printed sensing interfaces profiling sensitivity and selectivity. The functional role of the NGA support is to provide dense anchoring sites (nitrogen and carboxylate groups) that stabilize atomically dispersed metal centers and create adsorption- and electron-transfer–active microenvironments. The NGA-Cu-ink yields enhanced dopamine oxidation, enabling quantitative detection on fully printed devices (limit of detection 9.7 µM; linear range 50–400 µM) and printed-on-electrode platforms (10.6 µM), while maintaining &lt;10% signal variation over 11 weeks. The approach establishes a general route to single-atom graphene-based inks for scalable, reproducible, and low-material-consumption manufacturing of advanced electrochemical sensors.

Atom by atom. Scientists reveal a new direction in medical diagnostics

<div><div>Accurately predicting NMR chemical shifts remains difficult for protons that can exchange with their environment in solution. These protons are covalently bound to electronegative atoms in hydroxyl (-OH), amine (-NH), and thiol (-SH) group. Their NMR signals are highly sensitive to hydrogen bonding, interactions with the solvent, and the continuous motion of molecules. Conventional DFT calculations typically treat the solvent in a simplified manner, often overlooking important interactions between dissolved molecules and their surroundings. A new computational approach developed by scientists led by <a target="_blank" rel="noopener noreferrer" href="https://nmr.group.uochb.cz/en">Martin Dračínský</a> from IOCB Prague addresses this problem by combining machine-learning (ML) molecular dynamics (MD) with ShiftML3, a machine-learning model for rapid prediction of NMR shielding.</div></div><div>The method first uses ML-based molecular dynamics to generate realistic ensemble of molecular structures in solution, capturing the constantly changing hydrogen-bonding patterns. ShiftML3 then predicts the chemical shifts for each configuration within fractions of a second. Although the model was originally developed for molecular solids, it also performs remarkably well in solutions. In molecular crystals, molecules are surrounded by close neighbors and experience a wide variety of intermolecular contacts, many of which closely resemble the interactions found in liquids.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/IOCB_Prague_Accurate_NMR_chemical_shifts_through_machine_learned_dynamics_2_a5e7404cff.webp" alt="IOCB Prague: Accurate NMR chemical shifts through machine-learned dynamics: A new computational approach developed by scientists led by Martin Dračínský from IOCB Prague addresses addresses often overlooked issues with simplified conventional DFT calculations. Nat. Commun. 2026, 17, 8842." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_IOCB_Prague_Accurate_NMR_chemical_shifts_through_machine_learned_dynamics_2_a5e7404cff.webp 245w," sizes="100vw" width="1620" height="911">The researchers validated the approach on chemically diverse systems, including water in organic solvents, alcohols, hydrogen-bonded nucleobases, glucose anomers, and alkylated acetamides. In all cases, the combination of ML-based molecular dynamics and ShiftML3 reproduced experimental chemical shifts with high accuracy, especially for exchangeable protons in OH and NH groups, whose signals are particularly sensitive to their local environment.The results show that combining ML-based molecular dynamics with rapid NMR chemical-shift prediction can substantially improve the accuracy of calculations for flexible and hydrogen-bonded molecules in solutions. The main advantage of the framework is that it can evaluate hundreds or thousands of solvent configurations without requiring an expensive quantum-mechanical calculation for each one. This opens the way to faster and more reliable prediction of NMR spectra, with potential applications in signal assignment, molecular structure determination and structural validation.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-75743-w">Quantitative Prediction of Exchangeable Proton Chemical Shifts</a></h4>Ondřej Socha, Jana Pavlišová, Debashree Manna &amp; Martin DračínskýNat. Commun., 2026, 17, 8842<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1038/s41467-026-75743-w">https://doi.org/10.1038/s41467-026-75743-w</a>&nbsp;<h6>licenced under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote><h4>Abstract</h4>Accurately predicting NMR chemical shifts of exchangeable protons in solution remains challenging because of the combined influence of solute–solvent interactions and molecular dynamics. We introduce a framework that integrates machine-learning molecular dynamics (ML-MD) with the ShiftML3 machine-learning shielding model for rapid and accurate prediction of NMR spectra in solvated molecules. Although originally developed for solids, ShiftML3 effectively captures intermolecular contributions to shielding in solution. We validate the method across a range of chemically diverse systems, including water in organic solvents, solvated alcohols, hydrogen-bonded nucleobases, glucose anomers, and alkylated acetamides. The ML-MD + ShiftML3 framework reproduces experimentally observed chemical shifts of exchangeable protons with near-quantitative accuracy, resolving subtle hydrogen-bonding and conformational effects that implicit-solvent DFT fails to capture. These results establish ML-MD + ShiftML3 as a transferable and computationally efficient way of incorporating solvation and dynamics into NMR spectroscopy, enabling realistic chemical shift predictions for flexible, hydrogen-bonded, and complex molecular systems.</div>

Accurate NMR chemical shifts through machine-learned dynamics

Article

Scientists

Interview

Science and research

Video

The Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB Prague) is a leading scientific institution in the Czech Republic, recognized internationally. Its primary mission is basic research in the fields of chemical biology and medicinal chemistry, organic and material oriented chemistry, chemistry of natural compounds, biochemistry and molecular biology, physical chemistry, theoretical chemistry, and analytical chemistry. 

Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences

The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

CATRIN

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

Separation Science

Agilent Technologies

Technology Networks

Bruker

SCIEX

Waters Corporation

Contaminants in the sample matrix can create chromatography issues, system downtime, and unreliable test results. Having clean samples can help prevent most of these problems. There are many options for sample cleanup.
We’ll discuss the following options:
<ul>
<li>Solid phase extraction (SPE), which provides the cleanest sample.
</li>
<li>“Targeted” filtration, which can remove specific interferences from the sample matrix and provides clean samples.
</li>
</ul>
In this talk, we’ll discuss tips for selecting, developing, and implementing SPE methods. We’ll also discuss newly developed targeted filtration options and their benefits.
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Presenter: Golnar Javadi (Application Engineer, Agilent Technologies, Inc.)
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Golnar Javadi is an applications engineer providing online applications assistance and technical support for LC columns and supplies, Sample Preparation products, and Spectroscopy supplies.
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Before joining Varian and then Agilent, Golnar worked in the pharmaceutical and nutraceutical industries on method development and quality control. She also taught college level chemistry courses for a few years.
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Golnar then joined Varian as a technical support specialist, providing customers with method development assistance and technical support on Sample Preparation (SPE, SLE, and Filtration), HPLC, GC, ToxiLab and DAT. After the Varian-Agilent merger, Golnar joined Agilent Technologies as an Applications Engineer. She provides technical support to customers on Sample Preparation products, Liquid Chromatography columns, and Spectroscopy supplies.
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Agilent Technologies: Sample Cleanup: Method Development for Solid Phase Extraction and Beyond

Sample Cleanup: Method Development for Solid Phase Extraction and Beyond

We’ll discuss tips for selecting, developing, and implementing SPE methods. We’ll also discuss newly developed targeted filtration options and their benefits.

Sample Cleanup: Method Development for SPE

Inflammation plays a pivotal role in the body’s defence against pathogens.
It is part of a cascade of events that are crucial for maintaining organ and systemic homeostasis. While acute inflammatory responses are essential for combating infections, chronic inflammation is increasingly linked to the onset of various clinical conditions, including diabetes, atherosclerosis, cardiometabolic diseases, rheumatoid arthritis, and obesity.
Traditionally, C-Reactive Protein (CRP) has been the gold standard for assessing inflammation. However, recent studies highlight the importance of glycoproteins and lipoproteins in both acute and chronic inflammation. Notably, inflammation can alter the composition and influence the pro- or anti-inflammatory behaviour of HDL particles.
In this webinar, we will explore how Nuclear Magnetic Resonance (NMR*) technology provides robust, fine-grained measurements of glycoproteins and lipoproteins, offering a comprehensive inflammatory profile within minutes. Further, we will present how those models were translated to benchtop NMR spectrometers potentially revolutionizing the landscape of NMR lipoprotein measurements.
Join us for this insightful webinar and discover how our translational achievements in NMR technology are poised to revolutionize clinical research settings.
Key Highlights
<ul>
<li>Innovative NMR Techniques: Learn about our diffusion and relaxation-edited NMR experiments, which led to a model-free inflammatory panel featuring SPC1, SPC2, SPC3, GlycA, and GlycB peaks.
</li>
<li>Comprehensive Data Analysis: Discover how these five parameters enable the construction of a molecular multivariate map of acute and chronic inflammatory phenotypes across multiple disease and population cohorts (N = 5000).
</li>
<li>Translational Technology: Understand the potential of benchtop NMR spectrometers for predicting lipoprotein parameters and fractions.
</li>
<li>Clinical Research Applications: Learn how self-administered capillary blood samples can eliminate the need for venipuncture, opening new avenues for sampling in remote areas or for high-frequency longitudinal studies.
</li>
</ul>
Benefits of Attending
<ul>
<li>Gain insights into the latest advancements in inflammation disease research and NMR * technology.
</li>
<li>Learn how benchtop NMR could bring us closer to routine application.
</li>
<li>Explore the future of inflammation analysis with non-invasive, rapid, and accurate methods.
</li>
</ul>
Who Should Attend?
<ul>
<li>Clinical researchers: Biologists, biochemists, and analytical scientists investigating or interested in expanding research into acute and chronic inflammation linked to the onset of cardiovascular disorders, metabolic syndrome, and related fields.
</li>
<li>Scientists working in human metabolomics research seeking to expand their expertise into standardized NMR-based Metabolomics.
</li>
<li>Graduate students and postdoctoral fellows: Those seeking advanced knowledge and practical skills in applying NMR in human health and inflammation disease.
</li>
<li>Industry professionals: Scientists and R&amp;D personnel in pharmaceutical, biotechnology, and nutritional companies doing research and developing therapeutic and diagnostic solutions related to inflammation
</li>
</ul>
<blockquote>
Presenter: Julien Wist (Professor of Computational Spectroscopy | Deputy Director of the Center for Computational &amp; Systems Medicine)
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Prof. Julien Wist is currently the Deputy Director of the Centre for Computational and Systems Medicine at Murdoch University and head of operations and lead of the bio-/ chem-informatics team at the Australian National Phenome Centre consisting of software engineers, biostatisticians, chemometricians and data processing experts to develop analytical pipelines for metabolic phenotyping. Wist is involved in international initiative for the development of open-source data analysis and visualisation platforms such as nmrdb.org, nmrium.org and cheminfo.org. 
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<blockquote>
His research focuses on the integration of high-fidelity molecular phenotypes to create translatable methods for the clinical environment. He strives to establish a comprehensive phenotypic databank of the world population by integrating cellular, immunological, and molecular data. Prof. Wist&#39;s research on SARS-CoV-2 infection revealed crucial markers for disease progression, including the acute phase, risk of death, and post-acute COVID 19 syndrome. More recently, Wist and his team detected and elucidated the structure of 10 new molecules for the first time in human urine and elucidated 10 of them, revealing the existence of an extended RSAD2 dependant natural antiviral pathway extending involving the Viperin enzyme to convert CTP into ddhCTP and analogs. These significant findings have led to the filing of 2 patents in collaboration with industry leaders and have been published in renowned international journals.
</blockquote>

Bruker: From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

How our translational achievements in NMR technology are poised to revolutionize clinical research settings.

From Biological Exploration to Clinical Translation

Join us for an exclusive two-day event where Agilent will showcase cutting-edge biopharma solutions.
The first day of the event we will explore Agilent’s comprehensive portfolio for the spectrum of applications from drug discovery to quality control. Learn more about our cell analysis and genomics expertise and the tools we provide to drive IVT mRNA development, protein therapeutics and cell and gene therapies
The second day will focus on advanced analytical solutions, including HRMS for tRNA sequencing and LC/MS for DNA/RNA analysis. Learn how to scale up oligonucleotide purification with Agilent biocolumns, which enhance the efficiency and accuracy of your processes.
By attending this event you will:
<ul>
<li>Gain insights from Agilent to optimize biotherapeutic workflows, including rigorous quality testing in cGMP environments and handling nucleic acid, vaccines, mAB and protein samples.
</li>
<li>Understand how metabolic analyses can impact CAR cell function and behavior, using cytolytic cell killing assays on the xCELLigence system to develop cell therapy processes and confirm product potency.
</li>
<li>Learn about new techniques in high-resolution LC/MS for analyzing tRNA modifications.
</li>
<li>Discover software tools available for high-resolution MS systems in both research and QA/QC labs.
</li>
<li>Compare analytical and semipreparative LC purification methods for synthetic oligonucleotides, gaining competitive insights into purification strategies.
</li>
</ul>
<h5>Talk 1: Advanced Analytical Solutions for Nucleic Acid Analysis and Purification</h5>
<ul>
<li>Presented by Dr. Charlotte Lekieffre, Biopharma Application Specialist, Agilent Technologies</li>
</ul>
The emphasis during the second day of the Summit will be on advanced analytical solutions, such as HRMS for tRNA sequencing and LC/MS for DNA/RNA analysis. Additionally, you’ll discover techniques to enhance the efficiency and accuracy of your processes by scaling up oligonucleotide purification using Agilent biocolumns. 
<h5>Talk 2: Extracted Yeast tRNA Sequencing by LC-MS/MS</h5>
<ul>
<li>Presented by Aurore Attina, Engineer of Mass Spectrometry, University of Montpellier</li>
</ul>
RNA modifications are essential for RNA stability, maturation, and functionality; directly influencing protein translation and gene regulation. They play a central role in various biological processes and are associated with many diseases, including cancers and neurological disorders. tRNA (transfer RNA), which plays a key role in protein synthesis, is the most modified molecule in the organism known to date. tRNA modifications are essential to ensure their correct function in protein translation, maintain the accuracy and fidelity of the genetic code, and enable flexible adaptation to changing cellular conditions and are therefore a crucial attribute to monitor. To monitor and map these modifications of tRNA, we have developed a LC-HRMS analytical workflow, first using synthetic oligonucleotide for the method optimization. In this webinar, we will first go through the various steps involved in LC-MS/MS method optimization using synthetic oligonucleotides. In a second part, we will present the protocol development of an enzymatic digestion applied to tRNA extracted from yeast. This digestion generates oligonucleotide fragments that can be analyzed by LC-MS/MS for sequence confirmation.
<h5>Talk 3: Discover Agilent’s Software Tools to Confirm Oligonucleotide Sequence Integrity</h5>
<ul>
<li>Presented by Dr. Holger Stalz, LC/MS Product Specialist Austria &amp; Switzerland, Agilent Technologies</li>
</ul>
Mass spectrometry (MS) is increasingly important for the development of therapeutic modalities such as oligonucleotides. A common analytical method for large molecules is intact mass by LC/MS. This can be used for the characterization and identification of a product or process-related impurities, or simply as a confirmation of molecular weight. The newly introduced Agilent OpenLab CDS 2.8 SW version comes with a set of features to enable the automatization of biopharma workflows. If you want to know how LC/MSD Spectral Deconvolution of your biopharma samples can be automated, we will provide answers during our presentation. Even more details on Oligonucleotide sequence confirmation and impurities characterization can be acquired using the power of a high-resolution accurate mass system (HRAM) on the Agilent 6545XT AdvanceBio LC/Q-TOF. Analyzing the sample data with the software workflows in Agilent BioConfirm version 12 will support the user to get the trusted answers to their most relevant questions.
<h5>Talk 4 Maximize Your Resources and Simplify Scale-up with AdvanceBio Oligonucleotide Columns</h5>
<ul>
<li>Presented by Dr. Andrea Tripodi, Application Development Engineer, Agilent Technologies</li>
</ul>
Several classes of nucleic acids, such as antisense oligonucleotides, small interfering RNAs (siRNAs), and aptamers are being investigated for potential therapeutic applications. Synthetic oligonucleotides inevitably contain many impurities due to limitations in the efficiency of each chemical reaction used during manufacture. They include deletion sequences (missing one or more nucleotides) and reaction by-products often arising during the final deprotection or cleavage steps. Ion pair reversed-phase (IP-RP) chromatography stands out as the prevalent method for analyzing and purifying oligonucleotides. For increased resolution and separation of your full-length synthetic oligonucleotide from closely related impurities, AdvanceBio Oligonucleotide is the ideal choice. The latest developments include semi-preparative, and lab-scale preparative columns packed with superficially porous particles that provide excellent performance and resolution without compromising column loading. A fast and easy scale-up method from analytical to semi-preparative scale was successfully achieved using a 10 mm ID column enabling higher sample loading using the same analytical LC instrument.

Technology Networks: Biopharma Innovations Summit

Biopharma Innovations Summit Day 2

Learn more about our cell analysis and genomics expertise and the tools we provide to drive IVT mRNA development.

Join Agilent and GERSTEL for a 3-day live virtual seminar discussing how you can assure safety, authenticity, and quality of alcoholic beverages. The focus will be on sharing the latest in technology developments and capabilities, new applications, and customer stories.<h4>Presentation 1: Comparison of Headspace GC-MS Techniques to Characterize Volatile Phenols contributing to Smoke Taint in Pinot Noir Wines</h4><ul><li>Stephen Toth, GCMS Specialist in the Structure Elucidation Department – International Flavors &amp; Fragrances (IFF)</li></ul>A series of volatile phenols originating from smoke tainted grapes exposed to regional fires have been known to exhibit undesirable sensory characteristics such as smoky, burnt, ashy and medicinal flavoring in affected wines. This can be negatively perceived by consumers and often leads to an aftertaste of these characteristics lingering in the mouth after the wine has been swallowed. Wildfires plagued the counties in northern California and Oregon during the 2020 wildfire season from August through October. These fires severely impacted the grape harvest and challenged wine makers as many of their vineyards were either destroyed or their crops were contaminated with smoke taint. Numerous wineries opted to release limited amounts of 2020 Pinot Noir for this reason or produce rosé or white wines from affected grapes. Our research will look specifically at three different vintages (2019, 2020 and 2021) of Pinot Noir from the same vineyard in the Willamette Valley region of Oregon. It should be noted that “smoke” as an indicator of taste in wines is not always an indicator of smoke taint but can also be imparted into the wine by aging in oak barrels.We will compare headspace based GCMS techniques to characterize these wines and profile the volatile phenol content. Solid phase micro extraction (SPME) and stir bar sorptive extraction (SBSE) will be used to analyze both free volatile content and gylcosidically bound phenolic content. The free volatiles will be acquired in unaltered wine to best represent the consumer’s initial experience. These samples will then experience a pH adjustment, sonication and heat treatment to release gylcosidically bound phenolic compounds which could potentially be released over time by aging the wine.Our research will characterize the phenolic compounds contributing to the smoke taint odor and flavor present in the Pinot Noirs against the sugar bound compounds that can potentially release over the shelf life of the wine utilizing SPME and SBSE extraction methods. Additionally, the comparison of vintages will indicate whether the phenolic characteristics obtained by GCMS can be used to capture the smoke defect in the wine profile from 2020.<h5>Key Learning Objectives/What attendees will learn:</h5>1. Theory and applicability of SHS, SPME, SBSE, TF-SPME, DHS, and pyrolysis.2. How to decide on the most optimal extraction technique based on research challenges.<h4>Presentation 2: An Exploration of Phenolics in Red Wines: Chemical and Sensory Effects of Selected Winemaking Techniques</h4><ul><li>Dr. L. Federico Casassa, Associate Professor, Enology, Cal Poly</li></ul>This presentation discusses how the winemaker can manage winemaking elements – those over which we have control – to develop, evolve and enhance mouthfeel, with focus on phenolic compounds in grapes and wines from the Central Coast of California. The discussion then covers which elements can be leveraged and managed during the production of the wine. There are known protocols for grapes, yeast, fermentation, and aging. However, the challenge for the winemaker is to understand how our various treatments affect the end product. This presentation covers the effects of fermentation temperatures, cold soaking and how the manipulations of these elements can be used to modulate astringency and mouthfeel in the wines.<blockquote>Presenter: Stephen Toth (GCMS specialist in the Structure Elucidation Department, International Flavors &amp; Fragrances (IFF))Stephen Toth is a GCMS specialist in the Structure Elucidation Department at International Flavors &amp; Fragrances (IFF) in Union Beach, NJ. He has spent his lengthy career at IFF working in fragrance delivery, chromatography and ultimately in the mass spectrometry group where part of his role is scouting out new technologies. He is very active in the Agricultural and Food Chemistry Division of the American Chemical Society and currently serves as the treasurer and executive board member. He has edited multiple books and has organized several analytical and flavor chemistry symposia at national meetings. He also serves as a graduate student mentor for the division. He holds a B.S. and M.S in chemistry from Seton Hall University and a Ph.D in food science from Rutgers University.Presenter:&nbsp;Dr. L. Federico Casassa (Associate Professor, Enology, Cal Poly)Dr. Casassa’s research focus lies on the broad areas of grape and wine chemistry and biochemistry and their sensory implications, with especial emphasis on applied research. He has been involved in research projects focusing on the impact of irrigation techniques, especially Regulated Deficit Irrigation. Current and ongoing research projects include studies on the extraction of phenolics of sensory relevance during the course of different maceration techniques in red wines, coupled with other regulating factors and their sensory impact as evaluated by formal sensory evaluation techniques.</blockquote>

Aglient Technologies: Alcoholic Beverages Virtual Symposium: Wine

Alcoholic Beverages Virtual Symposium: Wine

How you can assure safety, authenticity, and quality of alcoholic beverages.

This comprehensive webinar will equip you with the knowledge and skills needed to excel in N-glycan analysis, from sample preparation to data interpretation.Enhance your understanding of the latest tools Agilent offers to address your biotherapeutic characterization needs.<h4>By attending this webinar, you will:</h4><ul><li>Understand the significance of N-glycans &nbsp;</li><li>Learn about the latest N-glycan sample preparation techniques &nbsp;</li><li>Understand how to select the right columns and perform HILIC separations &nbsp;</li><li>Analyze data with the new Glycan Peak Assignment Tool</li></ul><blockquote>Presenter: Tom Rice (Bioconsumables Product Manager, Agilent Technologies)Tom Rice is the Bioconsumables Product Manager at Agilent Technologies, coming to Agilent through the acquisition of ProZyme in 2018. Prior to joining Agilent, he held various sales and marketing roles within ProZyme beginning in 2014. Much of Tom’s work, both at ProZyme and Agilent, has been focused on bringing innovative glycobiology solutions to biopharma customers. Tom is based in California and holds a B.S. from Sonoma State University.Presenter:&nbsp;Randall Robinson (Research and Development Scientist, Chemistries and Supplies Division at Agilent Technologies)Randall Robinson is a Research and Development Scientist in the Chemistries and Supplies Division at Agilent. Prior to joining Agilent in 2021, Randall completed his PhD in food chemistry with a focus on developing analytical techniques to characterize bioactive oligosaccharides in milk and dairy streams. Since joining Agilent, he has contributed to the design of numerous products utilized for N-glycan analysis, including the HILIC column described in this presentation.</blockquote>

Separation Science: Streamlining N-Glycan Analysis: A Complete Workflow from Agilent

Streamlining N-Glycan Analysis: A Complete Workflow from Agilent

Learn about the latest N-Glycan sample preparation techniques.

Streamlining N-Glycan Analysis: A Complete Workflow

Day two: Characterization and discovery<ul><li>Characterize and quantify calreticulin (CALR) arginylation using electron-activated top-down proteomics</li><li>Achieve in-depth profiling of metabolites and lipids in biological samples</li><li>Obtain accurate and reliable metabolite identification using electron-based fragmentation (EAD)</li><li>Detect trace amounts of pesticide residues in food by targeted and non-targeted, IDA and SWATH approaches</li><li>Enhance routine characterization of low-abundant sequence variant (SV) through fast and sensitive EAD-DDA</li></ul><h5>Agenda-at-a-glance</h5>Welcome and introduction to characterization and discoveryTop-down characterization of post-translational arginylation using electron activated dissociation (EAD)<ul><li>Learn about our top-down proteomics workflow for the characterization and quantification of calreticulin (CALR) arginylation. MS1 profile and MS2 fragmentation were characterized by EAD. Preferential fragmentation at the CALR N-terminals yielded sufficient c ions facilitating precise localization of the arginylation sites. Learn about:<ul><li>Arginylation regulates CALR degradation and ER function</li><li>EAD is efficient in characterizing N-terminal arginylation</li><li>The workflow sets up the foundation for unbiased top-down activity-based arginylation profiling</li></ul></li></ul>In-depth metabolomics and lipidomics analyses<ul><li>Routine measurement of metabolites and lipids has become a cornerstone of biomedical research. At the MPC, Helmholtz Munich, non-targeted analysis is based on the SCIEX ZenoTOF 7600 for accurate and in-depth analysis and annotation of metabolites and lipids from different biological specimens.<ul><li>Application of Zeno trap enabled non-targeted workflows to large scale metabolomics and lipidomics studies</li><li>Enhanced sensitivity enables deeper profiling of biological samples</li><li>Increased confidence in identifications through comprehensive structural elucidation using Electron activated dissociation (EAD)</li></ul></li></ul>MetID innovations in pharma: exploring new avenues for metabolite structure elucidationTime-of-flight mass spectrometry applications in food science: targeted and non-targeted approaches<ul><li>Time-of-flight mass spectrometry has become a key tool in analytical laboratories involved in food analyses. This instrumentation can be used for both targeted and non-targeted approaches. In this presentation, we will discuss:<ul><li>Overview of practical targeted and non-targeted approaches in food analysis</li><li>Application of a SWATH® approach to the analysis of pesticide residues in food</li><li>Application of IDA approaches in non-targeted food analyses</li></ul></li></ul>Reduce risk and accelerate cell line development with iCIEF-UV/MS technology<ul><li>Guide decisions during cell line development with the Intabio ZT system with more information on how process changes affect cell line and product stability. &nbsp;<ul><li>How to utilize icIEF-UV/MS to identify sequence variants</li><li>How this information can be used to create a mitigation strategy</li><li>What more information in less time means to groups throughout process development</li></ul></li></ul>Q&amp;A roundtable: A deeper look at high-resolution mass spectrometry<ul><li>Moderated by: ose Castro-Perez, Vice President of Product Management, SCIEX</li><li>Panelists include:<ul><li>Tom Lin, Instructor, Washington University in St. Louis</li><li>Michael Witting, Deputy Head Metabolomics and Proteomics Core and Executive Manager Metabolomics, Helmholtz Munich</li><li>Francisco José Díaz-Galiano, Postdoctoral researcher, University of Almería</li><li>Kirsten Nields, Principal Scientist, J&amp;J Innovative Medicines</li><li>Tatjana Talamantes, Senior Product Manager, Accurate Mass, SCIEX</li></ul></li></ul><blockquote>Moderator: Tatjana Talamantes, Senior Product Manager, Accurate Mass, SCIEXTatjana is a Senior Product Manager at SCIEX, overseeing accurate mass systems since 2021. She collaborates with R&amp;D, sales, and marketing teams to ensure effective project execution and portfolio management.Previously, Tatjana was a Product Manager at MOBILion Systems, leading the pre-commercialization of SLIM-based ion mobility instruments. She also has held roles at Thermo Fisher Scientific as a Sr. Vertical Marketing Specialist and Sr. Field Applications Scientist.Tatjana holds a B.A. in chemistry from Austin College and a Ph.D. in biomedical sciences and biochemistry from the University of North Texas Health Science Center.Jamie holds a B.Sc. in engineering physics from Queen’s University.Presenter: Tom Lin, Instructor, Washington University in St. LouisPresenter: Michael Witting, Deputy Head Metabolomics and Proteomics Core and Executive Manager Metabolomics, Helmholtz MunichPresenter: Francisco José Díaz-Galiano, Postdoctoral researcher, University of AlmeríaPresenter: Kirsten Nields, Principal Scientist, J&amp;J Innovative MedicinesPresenter: Tatjana Talamantes, Senior Product Manager, Accurate Mass, SCIEX</blockquote>

SCIEX summit Day two: Characterization and discovery

Importance of LC-MS in food and environmental testing, pharmaceutical and biopharmaceutical discovery and development and biomedical and omics research.

CIEX summit Day two: Characterization and discovery

UV-Vis spectroscopy is a cornerstone analytical technique in the pharmaceutical industry, widely employed for its versatility and reliability serving essential functions such as the synthesis of drug compounds, purity assessment, dissolution profiling, and the analysis of biomolecules throughout the drug development process. This technique is pivotal for ensuring the quality and efficacy of pharmaceutical products. However, the pharmaceutical industry faces several challenges with traditional UV-Vis spectroscopy, such as the need for stringent regulatory compliance, the demand for high precision and accuracy, and the requirement for efficient data management systems to handle the vast amount of data generated.The Agilent Cary 3500 UV-Vis model addresses these pain points effectively, join the webinar to discover how this cutting-edge instrument elevates the standards of pharmaceutical analysis with its unique features and seamless OpenLab integration.Key Takeaways:<ul><li>Innovative Temperature Control: Learn how the Cary 3500’s precise temperature control accelerates your analytical processes.</li><li>Rapid Data Acquisition: Understand the impact of high-speed data collection on your research outcomes.</li><li>Small-Volume Mastery: Explore the instrument’s proficiency in small-volume analysis, ensuring accuracy down to the minutest quantities.</li><li>Highest Absorbance Range: Explore the Cary 3500’s superior absorbance range for unparalleled sensitivity in your measurements.</li><li>OpenLab Server Connectivity: Experience the seamless data management and integrity that OpenLab server-based connectivity provides, meeting stringent regulatory compliance.</li><li>Interactive Q&amp;A Session: Engage with our experts to address your queries and discuss the instrument’s application in real-world pharmaceutical scenarios.</li></ul><blockquote>Presenter: Ms. Vijaya Jyothi (Product Specialist - Spectroscopy, Agilent Technologies)Vijaya Jyothi is a seasoned product specialist at Agilent Technologies. She manages the spectroscopy division, having extensive expertise in spectroscopy applications across diverse industries, offering deep insights and solutions tailored to varied analytical needs.</blockquote>

Agilent: Cary 3500 UV-VIS Advanced Analytical Capabilities and Seamless Server Connectivity

Cary 3500 UV-VIS Advanced Analytical Capabilities and Seamless Server Connectivity

Discover how this cutting-edge instrument elevates the standards of pharmaceutical analysis with its unique features and seamless OpenLab integration.

Cary 3500 UV-VIS Advanced Capabilities

<h4>The Waters 2024 Virtual Summer School - An Educational Journey to Master Food &amp; Environmental Analysis</h4>Unlock the full potential of LC-MS techniques with our immersive and educational sessions at the Waters Virtual F&amp;E Late Summer School 2024. From September 24th to 26th, engage with leading experts and discover cutting-edge methods for environmental and food analysis.<h5>Why attend?</h5><ul><li>Comprehensive Learning: Dive deep into advanced LC-MS techniques and gain practical knowledge to enhance your laboratory's analytical capabilities.</li><li>Expert Insights: Learn from industry leaders and gain firsthand experience through detailed modules on chromatography, mass spectrometry, and sample preparation.</li><li>Regulatory Compliance: Stay ahead with the latest insights on EU regulations for PFAS analysis in food and water, ensuring your lab meets stringent standards.</li></ul><h3>Episode #5: General Sample Preparation | F&amp;E Summer School - Day 2 - Module 1</h3>Sample preparation is a key aspect in the analytical workflow and heavily determines the quality of the analysis. Solid Phase Extraction is a fundamental sample preparation technique widely used across all areas of analytical chemistry. Whether new to SPE or seeking a refresher, this webinar will introduce the basics of sample preparation and provide practical insights and technical background on the benefits when choosing SPE over another form of sample preparation, especially for analytes in complex matrices, such as the ones often encountered in Food and Environmental analysis. Join us in exploring SPE key parameters and best practices for implementing successful SPE methods. The session will combine PowerPoint slides with videos describing good practices and showing a practical example on the complex analysis of PFAS.Our guest speaker Chiara Sarti from Cranfield University, Bedford UK, will share her research results on the work with new dual layer cartridges to extract PFAS from different environmental samples.<h5>What you'll learn:</h5><ul><li>Understanding SPE fundamentals</li><li>Making SPE simple with water-wettable sorbents</li><li>Verifying successful SPE implementation</li></ul><blockquote>Presenter:&nbsp;Xavier Rodríguez (Business Development Manager Chemistry Group, Southern Europe, Waters)Xavier is part of the European Market Development Team. He works as an Application Specialist with focus on sample prep and has more than 20 years of experience in solving sample prep challenges.Presenter:&nbsp;Chiara Sarti (Ph.D. Student, Department of Chemistry "Ugo Schiff", University of Florence)</blockquote>

Waters Corporation: The Waters 2024 Virtual Summer School

General Sample Preparation

Join us in exploring SPE key parameters and best practices for implementing successful SPE methods. 

<h4>The Waters 2024 Virtual Summer School - An Educational Journey to Master Food &amp; Environmental Analysis</h4>Unlock the full potential of LC-MS techniques with our immersive and educational sessions at the Waters Virtual F&amp;E Late Summer School 2024. From September 24th to 26th, engage with leading experts and discover cutting-edge methods for environmental and food analysis.<h5>Why attend?</h5><ul><li>Comprehensive Learning: Dive deep into advanced LC-MS techniques and gain practical knowledge to enhance your laboratory's analytical capabilities.</li><li>Expert Insights: Learn from industry leaders and gain firsthand experience through detailed modules on chromatography, mass spectrometry, and sample preparation.</li><li>Regulatory Compliance: Stay ahead with the latest insights on EU regulations for PFAS analysis in food and water, ensuring your lab meets stringent standards.</li></ul><h3>Episode #6: Automated Sample Preparation | F&amp;E Summer School - Day 2 - Module 2</h3>This Module builds on the previous one by adding automation to the sample preparation methods. The Andrew+™ pipetting robot offers fully automated liquid handling using electronic pipettes and labware holders called Dominos for a full walk-away automation solution.Creating the connected laboratory, Andrew+ is part of the OneLab™ ecosystem, executing laboratory protocols designed in OneLab software. This flexible architecture enables you to effortlessly transition from laborious manual pipetting procedures to error-free, fully-robotized lab workflows – without any knowledge of programming, laboratory robotics or automation engineering. and explains processes the Andrew+ pipetting robot can take over in your lab.The European Union has adopted Commission Recommendation (EU) 2022/1431 to monitor PFAS in fruits, vegetables, milk and baby food. To achieve quantification at lowest levels of PFAS in food matrices, sample preparation is required which comprise of many pipetting steps and can be time-consuming and error prone. We will demonstrate an automate workflow for the analysis of PFAS in milk using a pipetting robot and stacked dual-phase SPE cartridges to meet EU 2022/1431 levels.<h5>What you'll learn:</h5>Possibilities to automat liquid handling processes in LC and LC-MS e.g.<ul><li>Serial dilution</li><li>Calibration curve</li><li>Solid Phase Extraction (SPE)</li></ul><blockquote>Presenter:&nbsp;Xavier Rodríguez (Business Development Manager Chemistry Group, Southern Europe, Waters)Xavier is part of the European Market Development Team. He works as an Application Specialist with focus on sample prep and has more than 20 years of experience in solving sample prep challenges.Presenter:&nbsp;Daniel Ng PhD (Principal Scientist, Waters Corporation)Daniel Ng received his PhD from the University of Manchester in mass spectrometry proteomics. He worked for 5 years at the Waters mass spectrometry headquarters in Wilmslow, UK, as a service support development engineer specializing in mass spectrometry instrumentation. In 2019, he took up a new role as a principal scientist at the International Food and Water Research Centre (Waters) in Singapore focusing on using advanced instrumentation to answer analytical challenges in the food and water industry. Since 2023, Daniel has lead the Food, Environmental and Material Science Analytical Professional Service team in the Asia-Pacific Region, developing analytical solutions to meet key challenges that customers face.</blockquote>

Automated Sample Preparation

The Andrew+™ pipetting robot offers fully automated liquid handling using electronic pipettes and labware holders.

<h4>The Waters 2024 Virtual Summer School - An Educational Journey to Master Food &amp; Environmental Analysis</h4>Unlock the full potential of LC-MS techniques with our immersive and educational sessions at the Waters Virtual F&amp;E Late Summer School 2024. From September 24th to 26th, engage with leading experts and discover cutting-edge methods for environmental and food analysis.<h5>Why attend?</h5><ul><li>Comprehensive Learning: Dive deep into advanced LC-MS techniques and gain practical knowledge to enhance your laboratory's analytical capabilities.</li><li>Expert Insights: Learn from industry leaders and gain firsthand experience through detailed modules on chromatography, mass spectrometry, and sample preparation.</li><li>Regulatory Compliance: Stay ahead with the latest insights on EU regulations for PFAS analysis in food and water, ensuring your lab meets stringent standards.</li></ul><h3>Episode #7: Quantification for Targeted Analysis | F&amp;E Summer School - Day 2 - Module 3</h3>MS Quan is an application in the waters_connect™ for Quantitation software platform that is designed to streamline the LC-MS/MS data processing and review with innovative workflows, data visualization and data navigation. The MS Quan application’s main workflows and overarching features such as task-oriented workflow, batch-level review, and exception-focused review are introduced and illustrated with a PFAS analysis dataset.<h5>What you'll learn:</h5><ul><li>How to create processing method</li><li>Data review with exception focus review</li><li>Compare data and evaluate peak integration</li><li>Export and report of final results</li></ul><blockquote>Presenter:&nbsp;Helge Grunwald (Sr Sales Applications Chemist, Waters Corporation)Helge is part of the Customer Success team at Waters with a focus on LC-MS/MS application and sales support. He works in this role for more than 4 years and gained experience in previous roles as project manager at Intertek and method developer at Basilea Pharmaceutica after he finished his Master of Science in Life Science at FH Nordwestschweiz.</blockquote>

Quantification for Targeted Analysis

The MS Quan application’s main workflows and overarching features are introduced and illustrated with a PFAS analysis dataset. 