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.

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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.

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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.

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Join this webinar to hear from Dr. Karl Oetjen and Dr. Craig Butt, who will share their recent research on nontargeted analysis of food products.
Discover how advanced analytical methods can detect unlisted, unexpected, and unwanted ingredients, leading to increased confidence throughout the supply chain, ultimately benefiting consumers.
This webinar looks at several sample types in the application of diagnostic ion screening to prioritise nontarget features for food safety analysis. Data from this study includes the analysis of supplements products from North American Gas Stations to determine what are the actual ingredients that “boost metabolism”, “elevates mood” and supply “good luck energy”. This study also looks at saffron and its origins along with an update on nontargeted screening of pesticides in food samples.
Discover the ingredients behind marketing slogans.
<ul>
<li>Understand why ZenoTOF technology is at the forefront of detecting the unknown, unexpected and unwanted at trace levels.
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<li>Discover how mass spectrometry can be used to determine authenticity of expensive ingredients.
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<li>Learn how nontargeted workflows can test the regulated and the non-regulated in pesticide assays.
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<li>A chance to ask our expert speakers questions and these exciting workflows.
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<blockquote>
Presenter: Karl Oetjen (Senior Scientist, Technical Marketing, SCIEX)
</blockquote>
<blockquote>
Karl Oetjen is a Senior Scientist at SCIEX in the technical marketing group and has over 10 years of mass spectrometry experience. Before joining SCIEX, he completed his PhD at Colorado School of Mines (Golden, Colorado) in Hydrologic Science and Engineering under Dr. Chris Higgins. Karl’s dissertation research focused on nontarget characterisation of complex surfactant mixtures, including aqueous film forming foams. This work led to the discovery several novel per- and polyfluorinated alkyl substances (PFAS) that since have been found in variety of environmental samples and industrial chemicals. Since joining SCIEX, Karl has worked with numerous labs creating and implementing both regulated and unregulated quantitative and qualitative screening methods. 
</blockquote>
<blockquote>
Presenter: Craig Butt (Manager, Applied Markets, SCIEX)
</blockquote>
<blockquote>
Craig M. Butt is Manager of the Applied Markets group in the Global Technical Marketing division of SCIEX with over 20 years of mass spectrometry experience. Previously at SCIEX he was an applications scientist where he developed methods for targeted and non-targeted methods in the cannabis, environmental, food and beverage group. He obtained his Ph.D. in environmental chemistry at the University of Toronto, his thesis research investigated the fate of poly- and perfluorinated organic compounds (PFAS) in biological systems. He was a NSERC post-doctoral research fellow in the Nicholas School of the Environment at Duke University, later becoming a research scientist in the department.
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New Food:Enhancing food safety analysis with diagnostic Ion screening

Enhancing food safety analysis with diagnostic Ion screening

Several sample types in the application of diagnostic ion screening to prioritise nontarget features for food safety analysis.

Exposomics research studies the impact of environmental factors, including exposure to contaminants, on health.
Untargeted workflows for metabolomics and exposomics typically report hundreds of features belonging to diverse compound classes, identified with varying levels of confidence.
In this webinar, our expert speaker will discuss how to optimize your untargeted approaches on Zeno SWATH DIA using a modular workflow. With this approach, each subset of the full mass range can be individually adjusted to meet project-specific and user-defined goals, enhancing the performance and adaptability of untargeted MS tools for exposomics research.
Attend this webinar to: 
<ul>
<li>Discover exposomics, the insights it provides into human health and the role of mass spectrometry in this field
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<li>Learn a rational approach to optimize chromatography and mass spectrometry parameters
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<li>Make your method development efforts modular so they can be reused to meet different project-specific needs
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<li>Find out how using Zeno SWATH DIA can benefit your metabolomics or exposomics research.
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Presenter: Dr. Cristina Balcells Nadal (Research Associate, Imperial College London)
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Technology Networks: Optimizing SWATH-DIA for Exposomics and Metabolomics

Optimizing SWATH-DIA for Exposomics and Metabolomics

How to optimize your untargeted approaches on Zeno SWATH DIA using a modular workflow.

Food testing is an emerging trend in per- and polyfluoroalkyl substances (PFAS) analysis.
Join the discussion as SCIEX customers and industry experts explore how these “forever chemicals” have influenced our food testing and research, and how SCIEX OS software can help identify and quantify these compounds. Get insight into topics ranging from detecting PFAS in food packaging and baby food to analyzing the data with SCIEX OS software processing.
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<li>What you need to know about PFAS in food
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<li>Where other scientists and experts are focusing their PFAS research
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<li>What to expect from SCIEX in the future when it comes to food testing, PFAS analysis and SCIEX OS software
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Day 1 agenda:
<h5>PFAS summit: phase I to phase II – drinking water and beyond</h5>
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<li>Dr. Craig Butt, Manager, Applied Market, SCIEX</li>
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<h5>PFAS in food: current state</h5>
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<li>Karl Oetjen, Senior Scientist, Technical Marketing, SCIEX</li>
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<h5>SCIEX OS software overview – unlocking the power of SCIEX OS software</h5>
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<li>Jessica Smith, Senior Marketing Development Specialist, Software, SCIEX</li>
</ul>
<h5>Food testing applications: latest trends</h5>
<ul>
<li>Gitte Barknowitz, Global Market Development Manager, Food and Environmental, SCIEX</li>
</ul>
<h5>From Analyst to SCIEX OS – a software story</h5>
<ul>
<li>Pradeep Dewapriya, Postdoctoral Research Fellow, The University of Queensland</li>
</ul>
<h5>PFAS analysis with SCIEX OS software: tips and tricks</h5>
<ul>
<li>Brad Patterson, Manager, Applications Support, SCIEX</li>
</ul>
<h5>PFAS in food matrices: developments in method validation with Phenomenex</h5>
<ul>
<li>Richard Jack, Global Market Development Manager, Phenomenex</li>
</ul>
<h5>The EPA&#39;s PFAS methods database: how this tool can help you</h5>
<ul>
<li>Antony Williams, Scientist, Center of Computational Toxicology and Exposure, US Environmental Protection Agency (EPA)</li>
</ul>
<h5>How Nestlé Switzerland developed and validated an LC-MS method for PFAS testing in food samples</h5>
<ul>
<li>Xanthippe Theurillat, Specialist R&amp;D, Nestlé Switzerland</li>
</ul>
<h5>SCIEX professional services: we&#39;re with you every step of the way</h5>
<ul>
<li>Mike Kobel, Director, Compliance services, SCIEX</li>
</ul>
<blockquote>
Presenter: Dr. Craig Butt
</blockquote>
<blockquote>
Presenter: Gitte Barknowitz
</blockquote>
<blockquote>
Presenter: Richard Jack
</blockquote>
<blockquote>
Presenter: Cheryl Murphy
</blockquote>
<blockquote>
Presenter: Antony Williams
</blockquote>
<blockquote>
Presenter: Yelena Sapozhnikova
</blockquote>
<blockquote>
Presenter: Karl Oetjen
</blockquote>
<blockquote>
Presenter: Pradeep Dewapriya
</blockquote>
<blockquote>
Presenter: Kevin Stroski
</blockquote>
<blockquote>
Presenter: Christian Lindh
</blockquote>
<blockquote>
Presenter: Ruben Kause
</blockquote>
<blockquote>
Presenter: Andrew Folkeson
</blockquote>
<blockquote>
Presenter: Jessica Smith
</blockquote>
<blockquote>
Presenter: Xanthippe Theurillat
</blockquote>
<blockquote>
Presenter: Brad Patterson
</blockquote>
<blockquote>
Presenter: Mike Kobel
</blockquote>
<blockquote>
Presenter: Andrew Savage
</blockquote>
<blockquote>
Presenter: Christel Nielsen
</blockquote>

SCIEX: PFAS summit: a scientific series (Day 1) - Part II: Food and environmental testing with SCIEX OS software

PFAS summit: a scientific series (Day 1) - Part II: Food and environmental testing with SCIEX OS software

How PFAS, these “forever chemicals” have influenced our food testing and research, and how SCIEX OS software can help identify and quantify these compounds.

PFAS summit: Food & Environ with SCIEX OS software (Day 1)

Nanocarriers and nanoformulations have been investigated in pharmaceutical research for many years.
These nanomedicines offer multiple solutions, from protecting the active pharmaceutical ingredient from biological environments to enhancing the bioavailability and stability of the drug at the site of action. Although nanomedical research is in the spotlight and more commercialized nanoformulations are on the market, there are no standardized procedures or regulations for the assessment of the quality and safety profiles of such products. In this study, the release profile of poly (lactic co-glycolic) (PLGA) nanocapsules loaded with all-trans retinoic acid (RA) was characterized using an innovative sample and separation setup, the Agilent NanoDis system. The results were compared to the release profile measured with a dialysis technique.
<blockquote>
Presenter: Emre Türeli, PhD (Chief Scientific Officer, MyBiotech, Germany)
</blockquote>
<blockquote>
Dr.EmreTüreli holds a PhD degree in Pharmaceutical Technology from Johannes Gutenberg University in Mainz, Germany. Dr. Türeli has more than 20 years of international research and development experience, as well as executive management experience in the pharmaceutical industry. His expertise is in drug delivery systems, nanoparticle development, and production method development in a pharmaceutical industrial environment.
</blockquote>
<blockquote>
Presenter: Manu Grover (Business Development Manager – Pharma Markets, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Manu Grover holds a postgraduate degree in Pharmacy from Manipal Academy, India. He has more than 21 years of chromatography experience and has worked in pharmaceuticals to support IND, NDA, and ANDA filings incompanies such as Dr. Reddy&#39;s, Panacea Biotec, and Ozone Pharmaceuticals. During his professional journey, he has developed and validated analytical methods on HPLC, GC, particle sizing, DSC, pXRD, and LC/MS instruments, as well as successfully filing multiple analytical dossiers in U.S./EU markets. In his current role, he works closely with the Agilent sales team, regulators, and pharmaceutical scientists. He shares market updates, trends, and expertise related tothe Agilent portfolio of columns and supplies.
</blockquote>

Agilent Technologies: Characterization of Nanoparticle based formulations: Dissolution Studies with NanoDis

Characterization of Nanoparticle based formulations: Dissolution Studies with NanoDis

Release profile of poly (lactic co-glycolic) (PLGA) nanocapsules loaded with all-trans retinoic acid (RA). Dissolution Studies with NanoDis.

Dissolution Studiea - Nanoparticle based formulations

The pH value is one of the most important and therefore also one of the most frequently measured parameters in analytical chemistry.
Sometimes, a simple pH test strip will do for a quick check; however, a precise pH meter and the right choice of the pH electrode are a must when reliable results are needed. 
In our educational webinar on November 14, Doris Hoffmann, Product Manager at the Competence Center Titration at Metrohm International Headquarters, will show you that the determination of the pH value can be quite simple, if you pay attention to a few critical details. 
Whether you perform a pH measurement for the first time or are a routine user, we are sure there is room for improvement. Join this webinar and make the next step towards higher accuracy and better reproducibility of your pH measurement results.
Register &amp; participate in this webinar to learn:
<ul>
<li>What the pH value is and how it is measured
</li>
<li>The functional components and design of a pH electrode
</li>
<li>Which kind of pH electrode is suitable for which application
</li>
<li>What parameters are determined during a pH calibration, and what values are acceptable
</li>
<li>How to properly care for and maintain a pH electrode
</li>
</ul>
<blockquote>
Presenter: Doris Hoffmann (Product Manager at CC Titration, Metrohm International Headquarters)
</blockquote>
<blockquote>
Doris Hoffmann has studied chemistry and has specialized in analytical chemistry and electrochemistry in her Master`s degree. She joined Metrohm International Headquarters in 2021 as a Product Manager and is responsible for the extensive portfolio of Metrosensors including pH electrodes, electrodes for titration, and more.
</blockquote>

Metrohm: The basics of precise pH measurement

The basics of precise pH measurement

The determination of the pH value can be quite simple, if you pay attention to a few critical details.

Monoclonal antibodies (mAbs) are complex biotherapeutic proteins, typically produced in a mammalian cell line to achieve sufficient yield but importantly also to decorate the antibody with necessary post-translational modifications (e.g. glycosylation) to ensure safety and efficacy.
As a result, the antibody can have significant charge heterogeneity, which can change from batch to batch and can influence the therapeutic index of the molecule. 
In this presentation, we will discuss a workflow using the new MauriceFlex™ instrument to fractionate mAb charge variants with downstream LC-MS analysis. Antibodies are large molecules with a lot of inherent heterogeneity. While some differences in the fractioned charge variants were detectable at the intact level, unambiguous peak annotations were not always possible. 
In order to analyze the fractioned charge variants in more detail a subunit approach based on FabRICATOR (Genovis AB) was chosen. This enzyme cuts mAbs at on specific site just below the hinge which – together with a reduction of disulfides – generates subunits 23-25kDa in size. These smaller, more manageable subunits are easier to analyze by LC-MS, leading to cleaner, high-quality spectra that allow for much more detailed analysis. With minimal sample prep, this provided a much clearer picture of the subtletie of mAb assembly, glycosylation, and other PTMs.
<blockquote>
Presenter: Chris Heger (Director, Application Science, Bio-Techne)
</blockquote>
<blockquote>
Presenter: Andreas Nägeli (Principal Scientist, Genovis)
</blockquote>
<blockquote>
Presenter: Dr. Birgit Foltas (Scientific Editor, Wiley, Moderator)
</blockquote>

WAS: Flex Your mAbs: LC-MS Characterization of Charge Variants from MauriceFlex™ 

Flex Your mAbs: LC-MS Characterization of Charge Variants from MauriceFlex™ 

Workflow using the new MauriceFlex™ instrument to fractionate mAb charge variants with downstream LC-MS analysis.

Flex Your mAbs: LC-MS Characterization of Charge Variants

This technology provides outstanding resolution, improved throughput, and unparalleled reproducibility, crucial for the analysis of vital biological molecules, including cyclic peptides and peptide therapeutics.
This is an invaluable opportunity to deepen your understanding of ion mobility, its benefits and how it is propelling the biotechnology sector forward!
Webinar Learning Objectives:
<ul>
<li>Understand the benefits of HRIM in unmasking isomeric analytes like cyclic peptides and other peptide therapeutics.
</li>
<li>Learn how to achieve reproducibility an order of magnitude better than conventional LC, with increased throughput using ion mobility.
</li>
<li>Learn about real-world applications from biotechnology experts in the field and the practical applications of ion mobility and how it is shaping future developments.
</li>
</ul>
<blockquote>
Presenter: Komal Kedia, PhD (Associate Principal Scientist , Merck)
</blockquote>
<blockquote>
Dr. Kedia, earned her Ph.D. in Analytical Chemistry from BYU in the lab of Steven Graves followed by a postdoc at PNNL under SLIM inventor, Dick Smith.
</blockquote>
<blockquote>
Throughout her career, she has led various biomarker research projects. As an associate principal scientist at Merck, she focuses on PK/PD studies and biomarker analysis. She also leads a project developing advanced ion mobility technology to address various analytical challenges.
</blockquote>
<blockquote>
Presenter: Phil Lorenzi, PhD (Assoc. Prof., Dir. of Metabolomics Core, Dir. of Proteomics Core , MD Anderson Cancer Center)
</blockquote>
<blockquote>
Dr. Lorenzi is the Director of the Metabolomics Core Facility, Director of the Proteomics Core Facility, and Associate Professor in the Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center.
</blockquote>
<blockquote>
His background and training are in chemistry, pharmacology, and omic technologies (genomics, transcriptomics, proteomics, and metabolomics). His laboratory develops metabolic therapies for the treatment of cancer.
</blockquote>
<blockquote>
He collaborates with 200+ investigators per year on projects that span the continuum of drug development and life science research, and has co-authored 94 peer-reviewed publications. His multidisciplinary team provides analytical services in a state-of-the art facility
</blockquote>
<blockquote>
Presenter: Chris Crittenden, PhD (Principal Scientist, Biopharma)
</blockquote>
<blockquote>
Dr. Christopher M. Crittenden earned his Ph.D. focusing on ultraviolet photodissociation mass spectrometry applications in biological structures at the University of Texas. Post-Ph.D., he joined Genentech&#39;s Small Molecule Analytical Chemistry department, specializing in identifying process-related impurities and confirming structures for IND filings using tandem mass spectrometry.
</blockquote>
<blockquote>
At Genentech, he explores new technologies and maintains a keen interest in ion activation and novel separation techniques to address biopharmaceutical challenges. Outside the lab, Chris enjoys hiking in the San Francisco Bay Area and watching baseball games with his family.
</blockquote>
<blockquote>
Presenter: Greg Kilby, PhD(Distinguished Scientist, MOBILion Systems, Inc)
</blockquote>
<blockquote>
With a distinguished career spanning more than 15 years in biopharmaceutical research, Dr Greg Kilby has emerged as a prominent figure in the realm of molecular analysis and mass spectrometry.
</blockquote>
<blockquote>
Holding a PhD in analytical chemistry, Greg&#39;s expertise encompasses the pioneering application and development of cutting-edge ion mobility-mass spectrometry technologies. His transformative work revolves around harnessing these innovative platforms to decipher intricate biomolecular structures, shedding light on the complexities of peptide therapeutics and biopharmaceuticals.
</blockquote>
<blockquote>
As an advocate for scientific advancement, Greg&#39;s contributions continue to shape the landscape of biopharmaceutical analysis, consistently pushing the boundaries of knowledge and discovery.
</blockquote>

The Analytical Scientist: Ion Mobility: Unlocking Biological Potential

Ion Mobility: Unlocking Biological Potential

Join us for an engaging roundtable webinar where experts from the biotechnology industry will discuss the transformative benefits of ion mobility.

Clinical samples for proteomic analysis are challenging due to high variability from interpersonal diversity and heterogeneous sample collection/storage. Analyzing larger sample series helps to overcome inevitable variability but is often linked to fast LC MS/MS, covering a small proteome fraction. Yet, maintaining depth is crucial for exploring low-abundance proteins and protein relationships. Hence, the key to extracting biologically relevant information is to balance scale and depth.
In this presentation, challenges and optimized analysis of neat plasma, along with functionalized nanoparticles enrichment analysis in a cohort of 264 Becker myodystrophy patients will be discussed. As each biofluid presents its own challenges, also in-depth urine analysis, providing concrete examples from a cohort of 184 patients with rare nephropathologies will be shared.
<blockquote>
Presenter: Chiara Guerrera, Ph.D., IRHC, HDR (Head of Necker Proteomics, Faculty of Medecine, University Paris Cité, France)
</blockquote>

Bruker: Clinical Proteomics: Getting the best out of the worst

Clinical Proteomics: Getting the best out of the worst

Agilent Webinar Series on FDA Elemental Analysis Manual Methods for Food Analyses - Atomic Spectroscopy Solutions.
There is growing consumer concern and increasing media attention over the levels of inorganic arsenic (iAs) present in beverages, rice and rice products such as baby formula. 
Government and regulatory focus is leading to the introduction of new regulations requiring more widespread and stringent testing for arsenic in food and drink. 
In this webinar event we will present the most recent developments in arsenic speciation methodology, with a focus on robust, validated methods for accurate and reliable determination of arsenic species in food safety applications.
<blockquote>
Presenter: Yan Cheung, PhD (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Yan received her Ph.D. in Analytical Chemistry from Indiana University Bloomington. She joined Agilent Technologies as an Application Scientist in the Life Science and Chemical Analysis team in April 2020. Yan has extensive experience in operating and method development in ICP-MS. Yan also has years of experience working in the oil and gas industry.
</blockquote>
<blockquote>
Presenter: Jenny Nelson, PhD (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Dr. Jenny Nelson is an Applications Scientist with Agilent Technologies specializing in Inductively Coupled Plasma Mass Spectroscopy (ICP-MS), Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Microwave Plasma Atomic Emission Spectroscopy (MP-AES). Her broad knowledge of atomic spectroscopy has been applied to both AOAC and ASTM through her serving on expert review panels, chairing committees, and volunteering to develop new methods needed by the industry.
</blockquote>
<blockquote>
Presenter: Mark Kelinske (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Mark Kelinske is an Applications Chemist with Agilent Technologies, specializing in advanced ICP-MS and ICP-MS/MS techniques. He received his undergraduate and graduate degrees from Texas A&amp;M University in College Station, TX. Prior to Agilent, Mark was a senior research scientist and research group manager with Southern Research Institute in Birmingham, AL, where he focused on low-level analytical chemistry, method development, and research program management.
</blockquote>

Agilent: Determination of Arsenic Species in Accordance with US FDA EAM 4.10 and 4.11 by HPLC-ICP-MS Methods

Determination of Arsenic Species in Accordance with US FDA EAM 4.10 and 4.11 by HPLC-ICP-MS Methods

Determination of Arsenic Species by HPLC-ICP-MS

Increasing the injection volume is an efficient approach to increase sensitivity by loading more analyte mass onto the LCMSMS. Large volume injection of high organic content on reverse phase column can cause poor chromatographic peak shapes thus decreasing sensitivity if the appropriate steps are not taken. Webinar with discuss different strategies to maintain performance when using large volume injections.
<blockquote>
Presenter: Emily Parry, PhD (LC/MS Applications Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Emily Parry received her PhD degree in Environmental Chemistry from the University of California, Davis. She joined Agilent after completing her postdoctoral work at the Environmental Protection Agency (EPA). Her specialty is method development and measurement of emerging contaminants.
</blockquote>

Agilent: Options for Best Performance Using Large Volumes Injection with LC MSMS

Options for Best Performance Using Large Volumes Injection with LC MSMS