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

Article

Academy

Scientists

Interview

Science and research

Video

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

Agilent Technologies

Technology Networks

SelectScience

Waters Corporation

In our third SELECT SERIES MRT in Action deminar join us to see how the exceptional resolving power of the MRT can help you make faster and better-informed decisions on Biopharmaceutical workflows.
During the demo, Dale will show how subtle modifications to primary structure such as differences to the isotope distributions of native and deamidated peptides can be unveiled with the MRT and how the high resolution of the MRT has benefits for protein analysis in that fully-resolved isotope distributions can be obtained, aiding in deconvolution to monoisotopic mass.
The session will conclude with a live Q&amp;A where Dale 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 aid biologics characterization workflows.</li>
<li>Learn how the different acquisition modes work to enhance performance.</li>
<li>Understand how MRT data is processed for various biopharmaceutical workflows.</li>
</ul>
<blockquote>
Presenter: Dale Cooper-Shepherd (Principal Scientist, Advanced Mass Spectrometry, Waters Corporation)
</blockquote>
<blockquote>
Dale is a Senior Scientist in the Discovery MS group at Waters, Wilmslow, UK. He undertook PhD studies at the University of Leeds and conducted postdoctoral research at the University of Oxford, UK. Throughout his training Dale specialized in applying ion mobility MS in the field of structural biology.
</blockquote>
<blockquote>
Dale joined Waters in 2015 and since 2019 has been working as an applications scientist on the SELECT SERIES of instruments.
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Elevated Biologics Characterization

How subtle modifications to primary structure such as differences to the isotope distributions of native and deamidated peptides can be unveiled with the MRT.

Glycoproteins are gaining special recognition in proteomics thanks to their multiple roles in biological processes, be it as biopharmaceuticals or as disease biomarkers in pathological processes.
The bottom-up analysis of glycopeptides therefore offers important advantages for glycoprotein characterization, providing information about the structure and composition of the glycans and about the carrier protein.
In this webinar, our expert speakers will discuss how to optimize glycopeptide analysis using capillary liquid chromatography coupled to tandem mass spectrometry, showcasing how the ZenoTOF 7600 system enhances the analysis of proteins and their post-translational modifications.
Attend this webinar to: 
<ul>
<li>Learn how to design an LC-MS/MS experiment that optimizes acquisition parameters for glycan analysis
</li>
<li>Discover the importance of all steps in the workflow, including peak picking and search parameters during data processing
</li>
<li>Explore how improved parameters boost the annotation of glycopeptides
</li>
</ul>
<blockquote>
Presenter: Dr. Estela Giménez (Associate Professor, University of Barcelona)
</blockquote>
<blockquote>
Presenter: Dr. Maarten Dhaenens (Executive PI ProGenTomics, Ghent University)
</blockquote>

Technology Networks: Improving Peptide Annotation and Glycan Localization Using EAD 

Improving Peptide Annotation and Glycan Localization Using EAD 

How to optimize glycopeptide analysis using capillary liquid chromatography coupled to tandem mass spectrometry.

Improving Peptide Annotation and Glycan Localization

Host-associated microbial communities are unique sources for natural product drug discovery.
By studying these microbes, novel and targeted drug leads can be identified and critical questions answered within the broader field of chemical ecology.
Dr. Balunas’ research connects the dots between microbes, metals and metabolites to discover new medicines for a wide range of human diseases.
In this webinar, Dr. Balunas will showcase her latest research into deriving natural products from the marine invertebrate Botryllus schlosseri.
Attend this webinar to discover:
<ul>
<li>Marine natural product drug discovery
</li>
<li>Advanced informatics tools for metabolomics
</li>
<li>Untargeted metabolomics with timsTOF
</li>
</ul>
<blockquote>
Presenter: Dr. Marcy Balunas (Associate Professor, University of Michigan)
</blockquote>

Technology Networks: Dive Into Microbes, Metals and Metabolites for Drug Discovery

Dive Into Microbes, Metals and Metabolites for Drug Discovery

Latest research into deriving natural products from the marine invertebrate Botryllus schlosseri.

Microbes, Metals and Metabolites for Drug Discovery

Critical to the development and commercialization of a biosimilar is understanding the originator and how its CQAs compare against those of the biosimilar.
Learn more about our solutions that provide high quality peptide mapping, glycan and charge variant data.
<blockquote>
Presenter: Andrew Argo (Strategic Marketing Lead, Waters Corporation)
</blockquote>
<blockquote>
Andrew has held positions across industry with a focus on analytical method development for LC and LCMS applications for products ranging from peptides to gene therapy for almost 10 years. He is currently the strategic marketing lead for the biopharma and new modality portfolios within the chemistry organization, helping to understand these evolving therapeutic areas and customer needs.
</blockquote>

Waters Corporation: Chromatographic techniques for the characterization of CQAs in biosimilars 

Chromatographic techniques for the characterization of CQAs in biosimilars

Solutions that provide high quality peptide mapping, glycan and charge variant data.

Chromatographic techniques for the characterization of CQAs

Many labs are faced with an ever-increasing sample load and changing regulations, plus the need to analyze increasingly complex data, while instrumentation and resources remain at a steady level.
As a consequence, instrument throughput and uptime are critical factors to maintain competitiveness and productivity. You need instruments that have evolved into complete solutions for meeting your current and future challenges.
You can meet your challenges with the new Agilent Revident quadrupole time-of-flight LC/MS system (LC/Q-TOF) and Agilent 6495 triple quadrupole LC/MS (LC/TQ). Their easy-to-use onboard intelligence, harmonized operation, and complete workflow capabilities let you look beyond instrumentation and expand your lab’s potential. So, you can focus on what inspires you and meet every challenge that comes your way.
What&#39;s in it for you?
<ul>
<li>Discover Next-Gen Instruments: Witness the intelligent Agilent Revident quadrupole time-of-flight LC/MS system (LC/Q-TOF) and the Agilent 6495 triple quadrupole LC/MS (LC/TQ). These are more than instruments – they&#39;re your keys to unmatched data precision and analysis.
</li>
<li>Elevate Your Lab&#39;s Potential: Say goodbye to outdated methods and welcome complete intelligent workflows. Picture a lab where time-consuming tasks are streamlined, complex data analysis becomes seamless, and your team can focus on what truly matters.
</li>
<li>Ignite Your Curiosity: Curious minds create transformative science. Learn from industry experts as they dive deep into the realm of instrument intelligence, AI-based tuning, and instrument telemetry. Gain insights into how you can maximize efficiency and enhance the capabilities of your lab.
</li>
</ul>
Who Should Attend? 
<ul>
<li>Lab Managers: Lead your lab into a new era of efficiency and productivity.
</li>
<li>Principle Investigators: Fuel your research with cutting-edge technology and insights.
</li>
<li>Senior Scientists: Stay ahead of the curve by harnessing the power of intelligent instrumentation.
</li>
</ul>

Agilent Technologies: LCMS Intelligence Unveiled - Shaping Futuristic Labs

LCMS Intelligence Unveiled - Shaping Futuristic Labs

Agilent Revident quadrupole time-of-flight LC/MS system (LC/Q-TOF) and Agilent 6495 triple quadrupole LC/MS (LC/TQ).

Join us for this interactive panel discussion where laboratory professionals from across multiple markets and industries share success stories of how they navigated the journey to lab digitalization, from strategy and planning to implementation and optimization.
They will share lessons learned and best practices to best harness the power of digital technologies to improve efficiency, quality, and innovation in the lab.
Plus, you&#39;ll have the opportunity to engage with top managers from Agilent&#39;s lab digitalization team, who will share their expertise and insights on the latest trends, technologies, and best practices. They will provide an overview of Agilent&#39;s digital lab solutions and answer your questions about how to get the most out of your lab&#39;s transformation.
Key learning objectives
<ul>
<li>The benefits and challenges of lab digitalization, and how to overcome common obstacles
</li>
<li>Strategies for selecting and integrating the right digital solutions for your lab&#39;s unique needs
</li>
<li>Best practices for implementing and utilizing your digital lab environment
</li>
</ul>
Who should attend?
<ul>
<li>Laboratory Managers, laboratory directors, IT Managers, business IT, scientists, operations manager</li>
</ul>
<blockquote>
Presenter: Dr. Eliot Randle (SVP Digital Transformation, Digital Lab Consulting)
</blockquote>
<blockquote>
Dr. Eliot Randle is Senior Vice President of Digital Transformation Digital Lab Consulting (DLC). DLC is part of the ProPharma Group and provides independent strategic and business consulting to help organisations to transform their business through better use of data and technology.
</blockquote>
<blockquote>
Presenter: Eric Kemp (IT Manager, Modern Canna)
</blockquote>
<blockquote>
Eric Kemp is a seasoned professional with 15+ years of experience in IT and Analytical Chemistry. He has held diverse roles such as Lab Tech, Analyst, Systems Administrator, Entrepreneur, QA Manager, and IT Manager since 2008. In 2012, Eric founded an IT consulting business specializing in Laboratory Information Management Systems (LIMS) re-implementation for Florida markets. Joining Modern Canna in 2018, Eric has contributed expertise to drive innovation and efficiency in both fields. With a unique perspective at the intersection of IT and Analytical Chemistry, Eric brings valuable insights to the cannabis testing industry.
</blockquote>
<blockquote>
Presenter: Tony McKeown (LIMS Administrator, doTERRA Global)
</blockquote>
<blockquote>
Tony McKeown, from Cobh, County Cork, Ireland, is a highly accomplished individual with a strong background in IT. He graduated from Munster Technological University with a degree in IT and then embarked on a successful 12-year self-employment journey. In September 2021, Tony joined doTERRA Global, based in Blarney, Co Cork, Ireland, where he played a pivotal role in the organization&#39;s digital transformation initiative.
</blockquote>
<blockquote>
Tony&#39;s primary responsibility at doTERRA Global was to identify and implement a Laboratory Information Management System (LIMS) for its onsite laboratories. Leveraging his expertise and knowledge, he successfully sourced and introduced Agilent SLIMS in May 2023, marking a significant milestone in the company&#39;s digitalization journey.
</blockquote>
<blockquote>
Beyond his profession, Tony is an avid sports fan, and has a keen interest in politics and current affairs.
</blockquote>
<blockquote>
Presenter: Jean-Guillaume Baumann (Senior Product Marketing Manager, Digital Lab, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Jean-Guillaume joined Agilent Technologies in 2018 through the acquisition of Genohm as a Business Development Manager. Holding a Master’ degree in Mathematics, he graduated in 2015 from the University of Neuchâtel with a Master’s degree with honors in Mathematics with a specialization in computer science. Passionate about the business side also, he studies for an EMBA at University of Lausanne.
</blockquote>
<blockquote>
Presenter: Dr. Thomas Schmidt (Marketing Director, Digital Solutions, Software &amp; Informatics Division)
</blockquote>
<blockquote>
Thomas Schmidt is Marketing Director for Digital Solutions in the Software &amp; Informatics Division at Agilent Technologies. Originally a chemist by training, he conceptualized and managed multiple Laboratory Informatics solutions during his career covering all aspects of the laboratory operation, including workflow management, data management, sample management, instrument control, and laboratory execution systems. Thomas is a passionate ambassador for the Digital Laboratory.
</blockquote>
<blockquote>
Presenter: Dora Wells (Editorial Team, SelectScience)
</blockquote>
<blockquote>
Dora studied biomedical science at the University of Manchester, UK, and as a member of the editorial team, plays an integral role in helping to shape the content on SelectScience.
</blockquote>

LabRulez/AI: From Paper to Pixels: Success stories of laboratories embracing digitalization

From Paper to Pixels: Success stories of laboratories embracing digitalization

Success stories of how they navigated the journey to lab digitalization, from strategy and planning to implementation and optimization.

Success stories of laboratories embracing digitalization

Lipidomics is a subset of metabolomics, focused specifically on the analysis of lipid species.
Lipids are among the most vital compounds in living organisms that serve to fulfil various functions, including building blocks for cellular and extracellular vesicle membranes, cell signaling, and energy storage. Studying the biological function of lipids plays a significant factor in understanding their overall effect on human health.
 The structure of a lipid can be altered, due to a shift in their environment caused by endogenous or exogenous factors. These factors can be genetics, diet-base, or caused by diseases. The classes of lipids vary in polarity, from phospholipids to triacyl glycerides, and it is estimated that there are over 300,000 possible lipid structures with varying fatty acyl chain lengths from 12 to 26 carbons. Mass spectrometry (MS)-based lipidomics generally require the use of liquid chromatography to separate the complex lipids present in biofluids, based on polarity and high-resolution MS to accurately measure the mass-to-charge (m/z).
 Join Dr. Timothy Garrett, Associate Professor at the University of Florida, to find out more about the technology needed for the correct identification of lipids, and how monodisperse particles can improve the speed and separation capacity of lipids. Plus, Garrett will also explore the analytical advances in chromatography and bioinformatics (IE-Omics), in the context of several disorders, including malaria, cancer and rare diseases.
Key learning objectives
<ul>
<li>Learn the basics of applied lipidomics using ultra-high-performance liquid chromatography- high-resolution mass spectrometry (UHPLC-HRMS/MS)
</li>
<li>Understand how lipidomics can be used for developing new diagnostic tests
</li>
<li>Discover the potential of lipidomics, while understanding current limitations
</li>
<li>Understand the role of chromatography in lipidomics
</li>
<li>Learn how utilizing monodisperse fully porous particles can improve your current lipidomics method
</li>
</ul>
Who should attend?
<ul>
<li>LC scientists that are looking for more lipidomic separations efficiency
</li>
<li>Scientists looking to improve their current HPLC/UHPLC separations for metabolomics
</li>
<li>Chromatographers looking to start developing new lipidomics based HPLC/UHPLC methods
</li>
</ul>
<blockquote>
Presenter: Timothy J. Garrett (Associate Professor, University of Florida, View Biography)
</blockquote>
<blockquote>
Dr. Timothy J. Garrett is an Associate Professor and Chief of Experimental Pathology in the Department of Pathology, Immunology and Laboratory Medicine at the College of Medicine, University of Florida. Garrett has also served as PI or Co-PI on grants and contracts totaling over $39M of funding from institutions such as the National Institutes of Health (NIH), Juvenile Diabetes Research Foundation (JDRF) and the American Diabetes Association (ADA). He has an undergraduate degree and a PhD in Chemistry. As a graduate student, he worked on the development and design the first imaging mass spectrometry ion trap instrument through a partnership with Thermo Fisher Scientific and studied the disposition and characterization of phospholipids in brain tissue. He has over 20 years of experience working with Thermo Fisher Scientific instrumentation including the TSQ 7000. He joined the faculty at the University of Florida in 2006, where he has developed a research program in metabolomics, lipidomics, and small molecule quantitation for clinical and biological research using mass spectrometry approaches. He is also currently Co-Editor-in-Chief for the Journal of Mass Spectrometry and Advances in the Clinical lab.
</blockquote>
<blockquote>
Presenter: Carrie Haslam (SelectScience)
</blockquote>
<blockquote>
Dr. Carrie Haslam is an Associate Editor at SelectScience, playing a key role in content production and specializing in Materials Science, Alzheimer’s disease and Clinical Diagnostics. Carrie completed a Ph.D. from The University of Plymouth, where she developed graphene-based biosensors for the early diagnosis of Alzheimer’s disease.
</blockquote>

SelectScience: Mass spectrometry-based lipodomics using monodisperse particle UHPLC/HPLC (MFPP) columns for biomarker discovery

Mass spectrometry-based lipodomics using monodisperse particle UHPLC/HPLC (MFPP) columns for biomarker discovery

Technology needed for the correct identification of lipids, and how monodisperse particles can improve the speed and separation capacity of lipids.

Mass spectrometry-based lipodomics & MFPP columns

N-nitrosamines are potential carcinogenic impurities that can pose a risk to human health when exposed over an extended period.
Whilst global regulations are evolving, where there is risk of N-nitrosamine formation in drug products, analytical testing is still necessary. With this continues a requirement for customized and optimized sample extraction, chromatographic separation, and often flexible mass spectrometry acquisition, supporting a range of regulatory set threshold limits, for both small and complex N-nitrosamines.
Small and complex N-nitrosamines (NDSRI) present common challenges, such as extraction efficiency and robust detection, whether quantification is to the trace level or to higher limits of sensitivity. Specific challenges also arise, such as minimizing low mass interference for small N-nitrosamines or managing structural similarities to the API and isomeric separation for NDSRIs. Minimizing contamination and N-nitrosamine formation during sample preparation is always critical.
In this webinar, Dr. Padmakar Wagh, Associate Director: Applications at Waters Corporation and Hugo Cortés, a senior specialist in mass spectrometry at Waters Corporation, will demonstrate strategies for developing robust quantification assays for both small N-nitrosamines and NDSRI in drug products. They will address the typical challenges encountered for both types of N-nitrosamines, and will include practical examples of quality method development and take-away method development strategies from Waters laboratories.
Key learning objectives
<ul>
<li>Understand the common and specific challenges in developing quantitation methods for small and complex (NDSRI) N-nitrosamines
</li>
<li>Discover new strategies for optimizing the sensitivity of N-nitrosamines detection in drug products by LC-MS
</li>
<li>Learn how to manage selectivity challenges in sample extraction and chromatography separation of small and complex N-nitrosamines
</li>
<li>Explore tools to increase efficiency and confidence in N-nitrosamines method development
</li>
</ul>
Who should attend?
Analytical development laboratories and QC laboratories in the innovative and generic pharmaceutical industry, contract testing, and contract manufacturing to the pharmaceutical industry, laboratory managers, and senior scientists.
<blockquote>
Presenter: Dr. Padmakar Wagh (Waters Corporation)
</blockquote>
<blockquote>
Dr. Padmakar Wagh has been working in his present role as Associate Director: Applications at Waters Corporation for the past 6 years. He has been responsible for managing Waters demo labs across India and has been actively involved in developing various applications including nitrosamines. Before joining Waters, he worked at various pharmaceutical companies in analytical research and development. He has a PhD in chromatography and is passionate about solving analytical challenges. He is also one of the founder members of a charitable hospital which serves the needy in the rural areas of India.
</blockquote>
<blockquote>
Presenter: Hugo Cortés (Waters Corporation)
</blockquote>
<blockquote>
Hugo Cortés is a senior specialist in mass spectrometry at Waters Corporation, a position he has held for 11 years. He attended the National Polytechnic Institute College of Biomedical Sciences in Mexico where he studied biochemical engineering. He has worked in analytical development in pharmaceutical, environmental, food safety, natural products research, metabolomics and toxicological analysis areas with Waters products for 20 years. He has participated in the development of methods for the analysis of nitrosamine together with regulatory entities in Mexico for four years.
</blockquote>
<blockquote>
Presenter: Ellen Simms (Assistant Editor, SelectScience)
</blockquote>
<blockquote>
Ellen studied biological sciences at the University of the West of England, UK, before completing a master&#39;s in epidemiology from the University of Bristol. As a member of the Editorial team, she now plays an integral role in shaping the content on SelectScience.
</blockquote>

SelectScience: Optimized method development strategies for the quantification of small and complex N-nitrosamines impurities

Optimized method development strategies for the quantification of small and complex N-nitrosamines impurities

Strategies for developing robust quantification assays for both small N-nitrosamines and NDSRI in drug products.

Optimized method development strategies

<h4>Accelerate time to outcome and achieve efficiency in your laboratory</h4>
Contaminations can enter the food-chain at various stages. This has led to more rigorous regulations for the testing of contaminants in exported, imported, and domestic food and beverages.
In this webinar series, we will discuss how our latest solutions meet industry demands, such as high throughput, enhanced sensitivity requirements, increased accuracy, and compliance.
<h4>Episode 1: Sample preparation strategies and greener alternatives for multi-mycotoxins determination via LC-MS/MS</h4>
The 1st episode is dedicated to the multi-mycotoxins analysis. Here, the focus will be on the modern workflow, with particular focus on combining as many mycotoxins together to increase the efficiency of your laboratory.
During this session we will discuss:
<ul>
<li>Sample extraction options for multi-mycotoxins analysis
</li>
<li>Why efficient sample clean-up is needed?
</li>
<li>How can you minimize contamination and carryover?
</li>
</ul>
At the end of the episode, we will also ask the expert Laura Carbonell Rozas to share insights about her work in natural toxins testing.
Join us for the food safety webinar series, we are really looking forward to answering your questions in our live Q&amp;A session and discussing this topic further with you.
<blockquote>
Presenter: Nicola Dreolin (Senior Scientist and Product Manager, Waters Corporation)
</blockquote>
<blockquote>
Nicola Dreolin is a Senior Scientist and Product Manager at Waters. Nicola is specialised in method development for a variety of applications in food, environmental and life sciences. During the past five years, he was involved in different research projects regarding metabolomics, ion mobility and direct-mass spectrometry. Before joining Waters, Nicola worked as an Analytical Scientist at Elements, where he developed targeted and screening methods for the analysis of extractables and leachables, pharmaceuticals, tobacco and agrochemicals.
</blockquote>
<blockquote>
Presenter: Laura Carbonell Rozas (Postdoctoral Researcher, University of Almeria (Spain))
</blockquote>
<blockquote>
Laura Carbonell Rozas is a Postdoctoral researcher at the University of Almeria (Spain), within the research group “Analytical Chemistry of Contaminants”. Over the past seven years, Laura has been working on developing novel strategies for the determination of a wide range of food and environmental contaminants, including mycotoxins and alkaloids. In her research, Laura also pioneered the investigation of “greener” alternatives to conventional sample preparation methods. She obtained her PhD in Analytical Chemistry at the University of Granada (Spain) and she has worked with multiple international organisations, including LABERCA (France), CONICET (Argentina), and the University of Parma (Italy).
</blockquote>
<blockquote>
Presenter: Janitha De-Alwis (JD) (Principal F&amp;E Market Development Manager, Waters Corporation)
</blockquote>
<blockquote>
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.
</blockquote>

Waters Corporation: Sample preparation strategies and greener alternatives for multi-mycotoxins determination via LC-MS/MS

Sample preparation strategies and greener alternatives for multi-mycotoxins determination via LC-MS/MS

How our latest solutions meet industry demands, such as high throughput, enhanced sensitivity requirements, increased accuracy, and compliance.

Sample preparation strategies and greener alternatives

Join us for our 3-Part series to Meet our Experts and discuss topics including:
<ul>
<li>History of HPLC column technology over the last 50 years and how advancements have helped address current separation challenges.
</li>
<li>Fundamentals of small molecule separations to enable you to develop methods more efficiently. 
</li>
<li>Solvent and column choices with UPLC to develop more environmentally friendly chromatography methods
</li>
</ul>
<h4>PART 1: In Pursuit of the Ideal HPLC Column: Improving Reproducibility, Stability, Efficiency, and Inertness</h4>
The ideal HPLC column is highly reproducible, stable when exposed to a wide range of mobile phases and temperatures, and able to produce narrow and symmetrical peaks for all analytes of interest. Since the development of the first commercially available HPLC columns 50 years ago, the technologies used to synthesize stationary phases, to fabricate column hardware and to pack columns have steadily improved to allow us to come closer to reaching these ideals.
This presentation will highlight several of the key improvements made over the last 30 years, including high purity stationary phases, hybrid organic/inorganic particles, UHPLC columns and hybrid surface technology hardware. The importance of these advancements for addressing some current separation challenges will be demonstrated.
<blockquote>
Presenter: Tom Walter (Corporate Fellow, Consumables and Lab Automation, Waters Corporation)
</blockquote>
<blockquote>
Thomas Walter received a Ph. D. in Chemistry from the University of Illinois at Urbana-Champaign, working on multinuclear solid-state NMR spectroscopy of heterogeneous catalysts. Joining the Chemistry R&amp;D group of Waters in 1987, he held positions of increasing responsibility, including serving as the Director of Chemistry R&amp;D from 2000 – 2015. He is a coinventor of hybrid organic/inorganic particle technology with 15 issued US patents. He has authored 43 publications on chromatographic materials, columns, and NMR spectroscopy. He is currently a Corporate Fellow in the Consumables and Lab Automation Division. He is a member of the Jim Waters Society and the 2023 recipient of the Uwe Neue award.
</blockquote>

Waters Corporation: In Pursuit of the Ideal HPLC Column: Improving Reproducibility, Stability, Efficiency, and Inertness

In Pursuit of the Ideal HPLC Column: Improving Reproducibility, Stability, Efficiency, and Inertness

Key improvements made over the last 30 years, including high purity stationary phases, hybrid organic/inorganic particles, UHPLC columns and hybrid surface