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

Proper care and maintenance of HPLC columns are essential for getting accurate results and saving on replacement costs. Extending the HPLC column life not only ensures consistent performance but also reduces downtime and the need for frequent replacements.Routine maintenance is equally essential for sustaining column functionality. Correct handling of the column is paramount, ensuring strict compliance with the manufacturer’s specifications regarding pressure, pH, flow rate, and temperature.In the next section, we will explore these best practices in greater detail, offering further guidance on essential HPLC column maintenance strategies. Whether you’re working in a high-throughput lab, or conducting occasional analyses, these strategies will help you get the most out of your <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products?category=48&amp;manufacturerItems=50">HPLC columns</a>.<h3>Essential Guidelines for Extending HPLC Column Life</h3>By adopting these simple yet effective practices, you can greatly extend the HPLC column life while ensuring reliable, high-quality results in your analyses.<h4>Proper Column Handling</h4>HPLC columns should be handled with care to prevent physical damage or shock. The pump should not be started at high flow rates; instead, the flow rate should be gradually increased over several minutes. A pump pressure limit should be set to protect the column from over pressuring, as sudden pressure changes can lead to voids, negatively affecting the column’s performance.<h4>HPLC Column Conditioning and Equilibration</h4>Conditioning is a critical step for preparing a new or stored HPLC column by replacing the storage solvent with the desired mobile phase. Care must be taken to avoid introducing immiscible solvent mixtures into the column. Universally miscible solvents such as THF (tetrahydrofuran) or IPA (isopropyl alcohol) can be useful for this process when moving from normal phase to reversed phase solvent systems. Care must also be taken to ensure that solvents that may be damaging to a specific stationary phase are avoided.For example, if a reversed-phase column experiences phase collapse due to 100% aqueous mobile phases, it should be reactivated. This process involves running 100% acetonitrile at a high flow rate and a temperature as high as 60°C. It is essential to ensure no solid buffers precipitate from residual solvents. Depending on the column condition, between 50 and 100 column volumes are needed for complete reactivation and equilibration, restoring the column’s efficiency for future use.<h4>Optimizing Operating Conditions</h4>Optimizing operating conditions is paramount to enhancing HPLC column efficiency and prolonging their operational lifespan. A fundamental aspect of this is strict adherence to the manufacturer’s recommended temperature, pH and pressure parameters.Deviating from these limits, particularly by operating at elevated temperatures, can significantly hasten the degradation of the stationary phase and hardware, thereby compromising overall performance. Elevated temperatures can also narrow the pH operating range, exacerbating the risk of column degradation through phenomena such as peak broadening or diminished efficiency.Effective pressure management is equally crucial. Sudden pressure surges or mechanical shocks can result in bed voiding, leading to poor chromatographic performance, such as split peaks and reduced separation efficiency. Gradual ramping of flow and pressure, implemented each time the column is initiated, mitigates these risks. Many modern HPLC systems are equipped with automated flow-pressure ramping capabilities, ensuring smoother transitions and reducing the potential for column damage.In addition, vigilant monitoring of the mobile phase's pH is vital to the maintenance of HPLC column integrity. Deviations from the optimal pH range can cause significant harm to the stationary phase. For instance, leads to ligand hydrolysis which leads to a loss of stationary phase functionality and diminished column performance over time. High pH can lead to silica degradation. This weakens the silica structure, causing particle dissolution, void formation, and loss of column efficiency. Maintaining the pH within optimal boundaries is essential for preserving the column’s structural integrity and ensuring consistent chromatographic performance.Furthermore, incorporating inline filters and guard columns into the system serves as a proactive measure to prevent particulates and harsh sample matrices from damaging the analytical column. These preventive tools significantly enhance operational conditions and safeguard the column from contamination, ultimately contributing to extended HPLC column lifetime and reliable performance.<h4>Regular Column Maintenance</h4>Effective routine maintenance is paramount to extending the HPLC column lifetime and ensuring the consistent performance of HPLC columns. A critical aspect of this maintenance is the thorough washing of the column after each use to eliminate residual sample components and mobile phase contaminants.The cleaning process generally involves performing an isocratic or gradient wash using a solvent system similar to the one previously used on the column but substituting the buffer with HPLC-grade water. This helps effectively remove any residual buffer components from the column. This meticulous cleaning process is vital to preventing the accumulation of impurities that could compromise the stationary phase and lead to decreased efficiency over time.Post-cleaning, it is imperative to end-cap the column before storage to prevent the stationary phase from drying out, a condition that can negatively impact the column’s future performance. Proper capping or sealing ensures that the column remains in optimal condition, safeguarding its structural integrity and readiness for subsequent analyses.Additionally, utilizing an older HPLC system as a dedicated wash station can further streamline maintenance practices, freeing up live systems for active use. Consistently adhering to a rigorous cleaning and storage regimen not only enhances the longevity of HPLC columns but also guarantees the delivery of precise and reliable analytical results.For severe contamination or pressure buildup, backflushing may be necessary to dislodge tightly bound contaminants. However, backflushing should only be performed when absolutely necessary, as it can stress the column packing material. It is essential to consult the manufacturer’s instructions before attempting this method.

How to Extend the Lifetime of HPLC Columns?

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

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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

Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers in industrial, government and academic laboratories.

Phenomenex

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

New Food magazine

CEM Corporation

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Waters Corporation

Dioxins and POPs analysis is evolving as historic instrumentation reaches its limits and obsolescence. Learn how you can equip your lab for the future with APGC-MS/MS technology that simplifies operation while exceeding regulatory performance requirements.
Join our webinar to find out how APGC could improve your methods with: 
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<li>Sensitivity</li>
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You will also hear from the industry experts about their experiences about APGC and how it helps to advance them further and stay in line (or exceed) regulatory limits, while also dealing with throughput demands.
<blockquote>
Presenter: Rhys Jones (Principal Consulting Scientist, Waters Corporation)
</blockquote>
<blockquote>
Rhys has worked for Waters in research and development for 20 years with a strong focus on gas chromatography mass spectrometry. ​The early part of his career was spent developing and supporting the AutoSpec magnetic sector instrument. ​One of his current responsibilities is the research, development and support of the atmospheric pressure gas chromatography (APGC) chemical ionization source, which has allowed the full range of Waters’ mass spectrometry techniques to be applied to GC analyses.
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Presenter: Janitha de Alwis (JD) (Senior Applications Chemist, Waters Corporation)
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Janitha de Alwis (known as JD) is an applications chemist in the European demo lab, based in Wilmslow, UK. His main role focuses on application development work for the food and environmental sector. JD takes great pride in speaking to, and advising, many food and environmental customers. His position requires him to be reactive and proactive to the changes in the food industry, such as changing regulations, topical issues and food safety risks.
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Waters Corporation: Change the Game Part I - POPs Analysis with Atmospheric Pressure GC (APGC)

Change the Game Part I - POPs Analysis with Atmospheric Pressure GC (APGC)

Join our webinar to find out how APGC could improve your methods with: Sensitivity, Selectivity, Robustness.

Part I - POPs Analysis with Atmospheric Pressure GC (APGC)

This time we will give an overview and demonstration of the SELECT SERIES MRT for small molecule metabolite workflows such as metabolomics and drug metabolite identification.
During this demo, Adam will show how the MRT’s mass resolution of 200,000 and sub ppm mass accuracy for MS and MS/MS data can be maintained at the fast acquisition rates needed for integration with UPLC and how this aids metabolite identification. In addition, you will discover new acquisition modes which further enhance performance.
The session will conclude with a live Q&amp;A where Adam and other members of the team will be on hand to answer all of your questions. 
Why Should You Attend?
<ul>
<li>Discover how the characteristics of the MRT combine with UPLC to aid metabolic profiling workflows.</li>
<li>Learn how the different acquisition modes work to enhance performance.</li>
<li>Understand how MRT data is processed for various small molecule workflows.</li>
</ul>
<blockquote>
Presenter: Adam King (Senior Scientist, MS Discovery Program, Waters Corporation)
</blockquote>
<blockquote>
Adam joined Waters in 2015 working for the phenotyping group based at Imperial College London, supporting the National Phenome centre with technical support and training. In 2018, Adam relocated to Wilmslow as part of the biomedical research team within SciOps focusing on metabolomic analysis using Waters high resolution MS solutions and Ion mobility.
</blockquote>
<blockquote>
Prior to joining Waters, Adam obtained his BSc in Biochemistry from Kingston University, London, and worked in the pharmaceutical industry leading a team of scientist analyzing NCEs by LC-MS in the company&#39;s bioanalytical team.
</blockquote>
<blockquote>
Currently Adam is a Senior Scientist in the MS Discovery program group continuing to focus on high resolution MS and IM for metabolomics. Additionally, Adam is in the final stages of completing a part-time PhD in Metabolomics at Murdoch University in Perth, Australia.
</blockquote>

Unquestioned Confidence in Metabolic Profiling

How the MRT’s mass resolution of 200,000 and sub ppm mass accuracy for MS and MS/MS data can be maintained at the fast acquisition rates.

Have you fully exploited the potential of your analytical techniques in edible oil analysis? Our experts will reveal what you can achieve with CNSX-analysis, ICP-OES, AAS and UV/Vis in regulated standard analysis and beyond.
Price fluctuations, supply bottlenecks and export stops have highlighted in recent years how volatile and complex the supply chains of edible oils are. Exporters, importers and processors of edible oils face the challenges of rapid supplier qualification while achieving regulatory compliant, seamless, and efficient quality monitoring of their crude oil, intermediates and final products.
As agricultural products, edible oils are subject to natural quality fluctuations, while cultivation methods and long transport routes pose risks of contamination and oxidation. In addition, they go through a temperature- and additive-intensive process with the refinery, during which undesirable by-products can arise under certain circumstances.
Our webinar is aimed at industry, regulatory and contract laboratories involved in the analysis of edible oils. With combustion elemental analysis, ICP-OES, AAS and UV/Vis molecular spectroscopy, our experts will introduce four techniques which enable precise, efficient, and standard-compliant quality and process analysis of edible oils. They will also show you tips and tricks on how to exploit the additional potential for optimising your analytical workflows regarding the targeted and economic use of elaborate specific techniques.
Learn how to use these techniques for a variety of oils at different steps in the value and processing chain, and how to achieve optimal results and increase sample throughput.
Key learning points:
<ul>
<li>Explore how to carry out the comprehensive analysis of toxic elements, process inhibitors, catalyst poisons as well as the macro-mineral content with ICP-OES.
</li>
<li>Learn what combustion analysis can achieve in quality control and process monitoring, especially regarding the formation of unwanted compounds during refining.
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<li>Discover how to streamline analytical workflows with quick screens for organic and inorganic Sulfur and Nitrogen as sum parameters with combustion analysis.
</li>
<li>Find out how to assess oxidation in oils via DOBI index, and how to monitor the efficiency of bleaching in refinery using UV/Vis spectrometry.
</li>
<li>Discover what AAS can do as an alternative spectrometric element technique in the analysis of edible oils.
</li>
<li>Meet our experts and discuss with us in the Q&amp;A.
</li>
</ul>
<blockquote>
Presenter: Dr. Angela Gröbel (Senior Product Manager / Expert Supervisor Chemical Analysis)
</blockquote>
<blockquote>
Angela is a Senior Product Manager and Expert Supervisor for the combustion elemental analysis and related sample preparation portfolio. She holds a PhD in analytical chemistry. Angela developed Analytik Jena’s first trace elemental analysis product line for organic matter, later she became an expert in determination of Sulfur, Nitrogen, and Chlorine across a broad range of industry segments, including oil and gas, food and agriculture and environmental protection. Since 2013 Angela has been Product Manager, responsible for the entire combustion elemental analysis and related sample preparation portfolio.
</blockquote>
<blockquote>
Presenter: Dr. Holger Sievers (Application Specialist Chemical Analysis)
</blockquote>
<blockquote>
Holger Sievers is an Application Specialist at Analytik Jena. He holds a PhD from the Technical University of Munich in the field of ultra-trace analysis of noble metals which he obtained after his Master’s focusing on inorganic and analytical chemistry. Holger joined Analytik Jena in 2018 after seven years of teaching at the University and is currently engaged in chemical analysis. His primary focus lies in atomic absorption spectrometry and element analysis in general.
</blockquote>
<blockquote>
Presenter: Sandra Wunsch (Application Specialist Chemical Analysis)
</blockquote>
<blockquote>
Sandra Wunsch has been an Application Specialist for molecular spectrometry at Analytik Jena since 2016. She has intense in-depth knowledge in scientific and industrial application of molecular spectrometry, and extensive experience in the market and application fields, especially in the areas of environment and food &amp; agriculture. As a graduated Nutritionist, she is an expert in the use of chemical analysis and especially the determination of molecular compounds in the food industry and related fields.
</blockquote>

New Food: Edible oil processing: How to monitor elements and compounds

Edible oil processing: How to monitor elements and compounds

How to use these techniques for a variety of oils at different steps in the value and processing chain, and how to achieve optimal results.

Dear Orbitrap users,
We are pleased to invite you to our Autumn 2023 version of virtual activities to support our Proteome Discoverer (PD) software users.
The workshops are designed to bring beginners up-to-speed with best practices as well as allow advanced users to interact with software experts and enquire how to get the most out of their data. Additionally, a dedicated session specialized in Tandem Mass Tagging (TMT) data processing will follow.
The content is delivered through online workshops, 2-3 hours each, via MS-Teams. The workshops feature live exercises on pre-distributed data, discussion of PD features, parameters, and optimized settings. The sessions are hands-on and highly interactive, so get the best experience by having PD 2.4, 2.5, 3.0 with CHIMERYS™, or 3.1 with CHIMERYS up and running. <a href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/multi-omics-data-analysis/proteome-discoverer-software.html">Click HERE</a> to download a free 60-day trial version of the latest Proteome Discoverer software release and CHIMERYS algorithm.
The sessions allow ample time for the participants to get their PD-related questions answered in real time. We will also review the new features in PD 3.1. The workshops will be taught in English, but participants can use MS Team`s instant subtitles in their preferred language.
<h5>General Proteome Discoverer software training:</h5>
<ul>
<li>Tuesday 5th September: 13.30-17.00 CEST (Berlin time)</li>
<li>Wednesday 6th September: 13.30-17.00 CEST (Berlin time)</li>
<li>Thursday 7th September: 13.30-17.00 CEST (Berlin time)</li>
</ul>

Thermo Scientific: Proteome Discoverer software workshops (General Proteome Discoverer software training)

Proteome Discoverer software workshops (General Proteome Discoverer software training)

The workshops are designed to bring beginners up-to-speed with best practices as well as allow advanced users to interact with software experts.

General Proteome Discoverer software training

The identification of extractables, leachables and chemical migration is a challenge for manufacturers and suppliers of packaging materials, medical devices and food contact materials. E&amp;L analytics is already complex, but it is compounded by legislative and regulatory efforts to recycle plastics. Analytical methods need to screen for not only the known components but also identify degradants and other unexpected compounds. Manufacturers, producers and retailers face the challenge of keeping up with evolving requirements and developing and adapting strategies to reduce plastic waste.
Thus, ways are being explored to incorporate more recycled plastics into products and packaging while maintaining excellent safety, quality and performance characteristics. As they innovate and combine new materials, companies must demonstrate safety and confirm compliance before bringing their products to market. This again increases the demand and importance of highly effective analytics.
Register now for this virtual event and share knowledge and challenges with peers and E&amp;L experts.
Who Should Attend?
The webinars are focused on the needs of scientists working in the area of Extractables &amp; Leachables and Food Contact Materials. During these webinars, attendees will learn:
<ul>
<li>Upcoming and new regulations in the field of food, pharma, biopharma and medical devices
</li>
<li>Targeted and non-targeted screening workflows by using Waters_Connect
</li>
<li>Characterization and structural elucidation of unknowns
</li>
<li>Choice of chromatographic techniques, extraction methods and analytical standards &amp; reagents
</li>
</ul>
<h3>EPISODE 3 - Virtual European Workshop on Extractables &amp; Leachables for Medical Devices</h3>
Agenda:
<h4>The role of chemical characterization in the evaluation of the biological safety of medical devices</h4>
<ul>
<li>Dr. Séverine Colas, Chief Scientific Officer, TentaConsult Pharma &amp; Med GmbH, Germany</li>
</ul>
<h4>Chemical Characterisation of Dressings: Extraction and Analytical Challenges</h4>
<ul>
<li>Pauline Kisseleff, Analytical Expert, URGO Recherche Innovation et Développement, France</li>
</ul>
<h4>Leachables from Pharma and Medical device materials, a non-target challenging analysis</h4>
<ul>
<li>Prof. Cristina Nerin, University of Zaragossa, Spain</li>
</ul>
<blockquote>
Presenter: Dr. Séverine Colas (Chief Scientific Officer, TentaConsult Pharma &amp; Med GmbH)
</blockquote>
<blockquote>
Séverine Colas is a PhD and a toxicologist (ERT) with more than fifteen years of experience in regulatory toxicology. She has always worked in services for the safety and regulatory compliance of products, initially with pharmaceuticals, then with chemicals and for more than 10 years now with medical devices. She has joined the TentaConsult team to provide to the client her strong expertise on biological evaluation of medical devices (MDR, ISO 10993-1 and related guidelines) and support them to establish the best strategy for the compliance of their medical device throughout their life cycle. If testing is needed to complete the evaluation, she also provides the client with her experience in conducting biocompatibility studies to find the suitable laboratory and to establish the more pertinent study design. As Chief Scientific Officer and Sales Director in TentaConsult, she is the preferred contact of the client to provide the best offer for the need.
</blockquote>
<blockquote>
Presenter: Pauline Kisseleff (Analytical Expert, URGO Recherche Innovation et Développement)
</blockquote>
<blockquote>
Pauline Kisseleff has a Master degree in analytical chemistry and received her PhD on container-content interactions applied to cosmetic products in 2020. She is currently in charge of extractables and leachables studies at URGO Research, Innovation and Development, where she works on several medical devices such as technological dressings
</blockquote>
<blockquote>
Presenter: Cristina Nerin (Professor, Department of Analytical Chemistry, University of Zaragoza)
</blockquote>
<blockquote>
Full Professor at the University of Zaragoza (Spain), PhD in Analytical Chemistry, Master in Science (Analytical Chemistry) and Degree in Chemistry at the University of Zaragoza (Spain). Director of the Research Group GUIA at the University of Zaragoza and Director of the Master in Environmental Engineering at the University of Zaragoza from 1990 to 2012. Author of more than 395 Scientific Publications included in the Citation Index, Director of 38 PhD Thesis (5 more are in process). Principal Investigator of more than 240 Research Projects in both Competitive calls and also R&amp;D&amp;I with Industry Inventor in six International Patents dealing with active packaging and in one International Patent on Intelligent Packaging. All of them are in exploitation (market). Six Research Awards received. Participant in more than 140 International Conferences and Professor of several International Courses n Europe, Asia and South-America.
</blockquote>

Waters Corporation: Virtual European Workshop on Extractables & Leachables for Medical Devices

Virtual European Workshop on Extractables & Leachables for Medical Devices

Register now for this virtual event and share knowledge and challenges with peers and E&L experts.

Virtual European Workshop on Extractables & Leachables

Join our Bioprocess Symposium to learn from upstream bioprocess experts how direct LC-MS measurement of drug product quality attributes and cell media can enhance your bioprocess development.
Discover how accessible data can help you accelerate clone selection and process development and find out how to develop quicker more robust processes.
We’re excited to wrap up the symposium with a premier demonstration of our newest solution. Here we&#39;ll show you how a streamlined and easy to use interface, combining automated sample preparation with accessible LC-MS analytics, unlocks high quality data in just a few clicks. 
AGENDA:
<ul>
<li>Waters Bioprocess Solutions
</li>
<li>Accelerated upstream bioprocess development via integrated LC-MS analysis
</li>
<li>A case study on mAbs and CQAs
</li>
</ul>
<blockquote>
Presenter: Ben Wilkes (Principal Biopharma Market Development Manager, Waters Corporation)
</blockquote>
<blockquote>
Ben Wilkes is a Biopharma Field Marketing Manager for Waters, focussing on bioprocess solutions. Prior to joining Waters, Ben has spent over a decade in Research and Development in the biopharma industry, including roles at Lonza, Abzena and Sanofi-Genzyme. 
</blockquote>
<blockquote>
Presenter: Magnus Wetterhall (Global Marketing Manager – Bioprocessing, Waters Corporation)
</blockquote>
<blockquote>
Magnus Wetterhall has more than 25 years’ experience in upstream &amp; downstream bioprocessing, advanced mass spectrometry, biomarker discovery, protein characterization, working at start-ups, large biotech companies as well as academics. Magnus earned his MSc. and Ph.D. degree in analytical chemistry at Uppsala University, Sweden. He has published over 40 scientific papers and 50 posters in the areas of mass spectrometry, biomolecule characterization and bioseparations, and has been an invited presenter at national and international conferences on these topics. He is currently the Global Marketing Manager at Waters Corporation – Bioprocessing, where he is dedicated to deliver analytical solutions to advance upstream and downstream bioprocess.
</blockquote>
<blockquote>
Presenter: Carlotta Kortmann (Leibniz University Hannover, Institute of Technical Chemistry)
</blockquote>
<blockquote>
Carlotta Kortmann has been working in the field of preparative and analytical chromatography for over half a decade. In 2020, she finished her MSc. degree in Life Science with a focus on bioprocess engineering and natural product chemistry at Leibniz University Hannover, Germany. In the course of her master’s program, she completed a research internship at Umeå University, Sweden dealing with neurodegenerative diseases by combining protein engineering with bioactive compound development. She subsequently started her Ph.D. at the Institute of Technical Chemistry in Hannover and is currently working on continuous downstream processing and the associated process consistency as well as product quality control of monoclonal antibodies throughout the production process.
</blockquote>

Waters Corporation: Waters Bioprocess Virtual Symposium

Waters Bioprocess Virtual Symposium

How a streamlined and easy to use interface, combining automated sample preparation with accessible LC-MS analytics, unlocks high quality data in a few clicks.

The advancement of CRISPR-based gene editing tools into biotherapeutics offers the potential for cures to genetic disorders and for new treatment paradigms for even common diseases.
Arguably, the most important component of a CRISPR-based medicine is the guide RNA that dictates the on-target editing site as well as potential undesired off-target edits.
To ensure the spacer region is of high fidelity, top-down mass spectrometry was implemented to provide direct and quantitative assessments of highly modified gRNA. In addition to sequencing the spacer region and pinpointing modifications, top-down mass spectra were utilized to quantify single-base spacer substitution impurities down to &lt;1% and to decipher highly dissimilar spacers. 
To accomplish these results in an automated fashion, we devised custom software capable of sequencing and quantifying impurities in gRNA spacers. Notably, we developed automated tools that enabled the quantification of single-base substitutions, including advanced isotopic pattern matching for C &gt; U and U &gt; C substitutions, and created a de novo sequencing strategy to facilitate the identification and quantification of gRNA impurities with highly dissimilar spacer regions.
By attending this presentation you will:
<ul>
<li>Gain an understanding of gRNA spacer characterization by MS/MS.
</li>
<li>Learn about gRNA impurity analysis by MS/MS.
</li>
</ul>
<blockquote>
Presenter: Luis A. Macias, PhD (Mass Spectrometry Scientist, Verve Therapeutics)
</blockquote>
<blockquote>
Luis joined Verve in 2022 as a mass spectrometry scientist focusing on support and development of gRNA characterization methods. Prior to joining Verve, Luis was a graduate student in the Brodbelt lab at the University of Texas, where he developed mass spectrometry-based methods to examine structural features of proteins and lipids.
</blockquote>

Separation Science: Spacer Fidelity Assessments of Guide RNA by Top-Down Mass Spectrometry

Spacer Fidelity Assessments of Guide RNA by Top-Down Mass Spectrometry

Learn about gRNA impurity analysis by MS/MS.

Spacer Fidelity Assessments of Guide RNA

Ion Mobility (IM) advancements in Software, Data Bases, AI and Machine learning are quickly improving capabilities to make unknown identifications, separate and ID isomers, as well as improve workflows associated with metabolomics, lipidomics, PFAS, and qual-quant screening.
In addition, IM measurements are significantly improved with HRdm High Resolution Demultiplexing. This is the first commercial IM instrument to enable the simultaneous combination of high drift resolution, while at the same time achieving all four of the following measurement capabilities: broad mass range in a single injection, multiplexing to increase sensitivity, compatibility with fast chromatographic acquisition rates , and highest precision in CCS measurements. For more accurate CCS predictions, the better precision in the CCS training set improves AI machine learning SW. This can significantly reduce the number of potential candidate structures to select from when making unknown identifications.
<blockquote>
Presenter: Xueyun Zheng, PhD (Integrative Omics Group, Pacific Northwest National Laboratory)
</blockquote>

Agilent Technologies: LipidOz: an Open-source Tool for Automated Elucidation of Lipid Double Bond Positions from Ozone-Induced Dissociation-IMS-MS Data

LipidOz: an Open-source Tool for Automated Elucidation of Lipid Double Bond Positions from Ozone-Induced Dissociation-IMS-MS Data

LipidOz: an Open-source Tool for Automated Elucidation of Lipid Double Bond Positions from Ozone-Induced Dissociation-IMS-MS Data.

LipidOz: Elucidation of Lipid Double Bond Positions IMS-MS

Amino Acid Analysis is required in many applications related to foods, dietary supplements and animal feeds and is a fundamental tool for monitoring product QC and compliance with nutritional labeling.
AOAC International has recently published a standardized method (AOAC Official Method 2018.06) for the analysis of total amino acids in infant formulas and adult nutritionals by UHPLC-UV. For some samples, to obtain a full amino acid profile, the samples must first be hydrolyzed. Due to the varied properties of amino acids and diversity of sample matrices, hydrolysis, separation and detection represents an analytical challenge. Learn more about effective hydrolysis, separation and detection of amino acids in dietary supplements, plant-based meats, and pet food during a 3-part webinar series with CEM and Waters.
<blockquote>
Presenter: Alicia Douglas Stell, Ph.D. (Market Development Manager, Applied Markets, CEM Corporation)
</blockquote>
<blockquote>
Dr. Alicia Douglas Stell has worked with CEM for the past 15 years, joining after completing her PhD in Analytical Chemistry. Her extensive background in chromatographic analysis and her mechanical expertise have been integral in the development of both instrumentation and novel applications. In her role as Market Development Manager, she is continuously exploring new applications and markets for innovative technology, focused around sample preparation.
</blockquote>
<blockquote>
Presenter: Benedict Liu (Product Specialist, Organic Solutions, CEM Corporation)
</blockquote>
<blockquote>
Benedict Liu graduated from UNC Chapel Hill in 2018 with a bachelor&#39;s degree in chemistry and mathematics. He joined CEM soon after and has been with the company for 5 years serving as an applications chemist and product specialist for the Molecular Sample Preparation division. In his time at CEM, Ben has worked to develop solutions for the extraction of organic pollutants in soils and product, microwave amino acid hydrolysis protocols, and automated extraction methods for PFAS in solid and semi-solid matrices.
</blockquote>
<blockquote>
Presenter: Paula Phenix (Principal Product Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Paula is a Principal Product Marketing Manager at Waters with a focus on products for amino acid and glycan analysis. Prior to her current role in the Chemistry and Lab Automation Group, she was the Product Marketing Manager for Specialty LC and SFC Systems in the Instruments group. Before joining Waters, she held product management, marketing and sales roles for several companies (Life Technologies, Promega, MilliporeSigma) in the molecular biology, immunology, cell culture and single-use bioprocessing areas. Paula graduated from the University of Delaware with a Bachelor’s degree in Biology and from Johns Hopkins University with a Master’s degree in Business.
</blockquote>
<blockquote>
Presenter: Ravali Alagandula, Ph.D. (Chemistry Market Development Manager, Waters Corporation)
</blockquote>
<blockquote>
Ravali is a Chemistry Market Development Manager at Waters with focus on all chemistry consumables and lab automation products. She holds a Ph. D. in Analytical Chemistry from Cleveland State University. She started her career as an LC applications scientist at Restek, developing LC-MS/MS and sample preparation methods in clinical and life science markets. Most recently, Ravali was a Chemistry Account Manager at Waters supporting key accounts and customers to promote chemistry consumable business in all market areas.
</blockquote>

Waters Corporation: Easy & Efficient Amino Acid Sample Prep followed by Accurate Detection - a look at Dietary Supplements

Easy & Efficient Amino Acid Sample Prep followed by Accurate Detection - a look at Dietary Supplements

Learn more about effective hydrolysis, separation and detection of amino acids in dietary supplements, plant-based meats, and pet food.

A look at Dietary Supplements

In Part II we describe how Empower supports both Step 2 – Validation by translating your written SOP into an Empower Method Validation Manager (MVM) scheme and Step 3 – On-going verification through the setup of Trend reports in Empower

Waters Corporation: USP 1220 & ICH Q14-Q2(R2) Part II – Validation & Verification

USP 1220 & ICH Q14-Q2(R2) Part II – Validation & Verification

Validation by translating your written SOP into an Empower Method Validation Manager (MVM) scheme.