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

Thermo Fisher Scientific

Shimadzu Corporation

It’s an exciting time to be a proteomics researcher without a doubt. For years the biggest challenge has been the sheer volume of samples to be analysed. The recent launch of the Thermo Scientific™ Orbitrap™ Astral™ mass spectrometer has promised to be a true game-changer.
For the first time ever, an instrument is available which offers the capability to do high throughput studies of large cohort samples without compromising performance. Join us for this review of presentations from the recent BSPR-EuPA conference showcasing the latest innovations.
Learning points:
<ul>
<li>Latest advances in high throughput proteomics
</li>
<li>Latest advances in large cohort analysis
</li>
<li>Revolutionary instrumentation for deeper proteome coverage
</li>
</ul>
Who should attend:
<ul>
<li>Director, Managers and Researchers in Proteomics
</li>
<li>Director, Managers and Researchers in Cancer Research facilities
</li>
<li>Current users of Orbitrap technology &amp; QTOF MS analysing plasma proteins
</li>
</ul>
<blockquote>
Presenter: Prof Michael MacCoss (Director of MacCoss Lab, University of Washington, Department of Genome Sciences)
</blockquote>
<blockquote>
Michael J MacCoss was born in western Canada to British parents, before relocating to Freehold, New Jersey where he grew up. Mike attended the University of Vermont as an undergrad, receiving a Bachelor of Arts in Chemistry. However, his passion for research only truly came to be after an internship in Dr. Patrick Griffin’s protein mass spectrometry lab at Merck Research Laboratories, and he began pursuing a path in biotechnology.
</blockquote>
<blockquote>
Eventually, Mike obtained a Ph.D. with Professor Dwight Matthews, also at the University of Vermont, and followed that with a post-doc at Scripps Research Institute with Professor John R. Yates III. In 2004 he started the MacCoss lab at the University of Washington with a major emphasis on developing robust and quantitative protein assays.
</blockquote>
<blockquote>
Over the last 14 years, Mike and his team have become leaders in the field of quantitative proteomics. The focus of his lab is the development of methods and software for generating and disseminating quantitative protein assays.
</blockquote>
<blockquote>
Presenter: Dr. Jo Kirkpatrick (Senior Product Specilaist, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Jo has a degree in Chemistry from the University of York and a PhD in analytical chemistry from the University of Reading. Following a post-doc in mass spectrometry in the Chemistry department at Oxford, and working as an application scientist at Waters, she has worked in and ran Proteomics Core Facilities in the UK and Germany, including the EMBL in Heidelberg, the Leibniz Institute on Aging in Jena, The Francis Crick Institute in London and CRUK Cambridge.
</blockquote>
<blockquote>
After many years as an experienced Thermo customer, Jo joined the company earlier this year as a Technical Sales Specialist, supporting the whole of the UK/Ireland, Benelux and Nordic regions, in all things proteomics.
</blockquote>
<blockquote>
When she&#39;s not talking about proteomics and mass spectrometry, Jo enjoys ceroc dancing, tennis, scuba diving, travelling, and spending time with her cats, who like to join in on Teams meetings whenever she works from home.
</blockquote>
<blockquote>
Presenter: Dr. Paul Humphrey (EMEA Senior Regional Marketing Manager, LSMS, Omics and ClinTox, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Paul has a degree in Analytical Chemistry and a PhD in Secondary Ion Mass Spectrometry from the University of Manchester.
</blockquote>
<blockquote>
He previously managed a contract analysis laboratory for several years before moving into a career in the scientific instrument manufacturing industry.
</blockquote>
<blockquote>
Initially an application chemist and product manager he moved into international scientific marketing when he joined Thermo Fisher Scientific in 1997. Since then he has worked in a variety of roles within factory, field marketing and sales office organisations. He has travelled and presented extensively and has been responsible for business in EMEA, North America and Asia/Pacific regions.
</blockquote>
<blockquote>
He lives in the UK and when not working he enjoys travelling, photography, cookery and scuba-diving.
</blockquote>
<blockquote>
Presenter: Robert van Ling (Product Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Robert started his low flow chromatography career as an intern from the Technical School in Amsterdam, The Netherlands, at LC Packings in the mid-90s.
</blockquote>
<blockquote>
Since those early years, Robert has been part of the teams introducing and supporting a wide range of our nano- and capLC products, such as the UltiMate and UltiMate 3000 nanoLC systems, PepMap and EASY-Spray columns. In recent years, he has introduced our new µPAC Neo HPLC column line, an innovative and unique approach to significantly improve the performance and reliability in low flow proteomic separations.
</blockquote>
<blockquote>
Robert still lives in the wider Amsterdam region, and when not talking low flow separations very much enjoys reading fantasy, jigsaw puzzling and listening to prog and hard rock.
 
</blockquote>

Thermo Scientific: Proteomics unleashed: exclusive insights and updates from BSPR-EuPA

Proteomics unleashed: exclusive insights and updates from BSPR-EuPA

Review of presentations from the recent BSPR-EuPA conference showcasing the latest innovations.

Exclusive insights and updates from BSPR-EuPA

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<li>Nexera Prep Standard – Fully equipped with advanced functions that ensure reliable purification of target components.
</li>
<li>Nexera MDAP – Capable of high purity preparative work with no target components left behind.
</li>
<li>Nexera UFPLC – Equipped with trap technology for concentration, purification, and collection in 100% organic solvent, reducing overall processing time.
</li>
<li>ASAPrep – Automatic scale-up from analytical to preparative scale, saving time and resources needed for optimization.
</li>
</ul>
Join us in the live webinar to learn how Shimadzu&#39;s Nexera Prep can streamline your workflow and produce outstanding results with minimal effort and time. Don&#39;t miss out on this opportunity – save your seat now!
Learning Objectives:
<ul>
<li>Understand how purification workflow can be streamlined for higher efficiency
</li>
<li>Explore Shimadzu’s leading-edge Preparative LC and SFC solutions
</li>
<li>Learn how automation plays a role in eliminating tedious and manual work
</li>
</ul>
<blockquote>
Presenter: Kosuke Nakajima (Innovation Centre Manager, Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Kosuke Nakajima has strong technical knowledge in separation science, particularly LC, LC/MS, and Preparative LC system. Before joining Shimadzu Asia Pacific as an Innovation Centre Manager, he was an application chemist at Shimadzu Corporation Japan, and contributed to developing some novel analytical methods. His recent research has mainly focused on Automated Method Development, Workflow enhancement for Preparative LC, and Supercritical Fluid Chromatography. He has earned his Master&#39;s in Chemistry back in 2016.
</blockquote>
<blockquote>
Presenter: Liw Wan Tung (Assistant Product Manager (LC/Pharma), Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Wan Tung, is the LC Product Manager and Pharmaceutical market in-charge at Shimadzu Asia Pacific Pte Ltd. She is the LC expert with more than 14 years of working experience in analytical science, specializing in method development of various LC and LCMS applications. In 2012, she joined Shimadzu to develop end-to-end workflow solutions for the customers. She has supported a multitude of applications from impurity analysis to drug discovery and biopharmaceutical applications. Prior to joining Shimadzu, Wan Tung started her professional career as a QAQC chemist in Pharmaceutical multinational company. Wan Tung earned her bachelor’s honour&#39;s degree in chemistry back in 2009.
</blockquote>
<blockquote>
Presenter: Navin Devadiga, Ph.D (Assistant Manager (Drug Discovery), Shimadzu Analytical India)
</blockquote>
<blockquote>
Navin Devadiga currently works as an Assistant Manager at Shimadzu Analytical India, where he focuses on method development for the analytical division in the Drug Discovery segment. With over 14 years of experience in the analytical industry, he has gained specialized knowledge in advanced analytical instrumentation, particularly in LC, Preparative LC, LC-MS, and SFC technology. His responsibilities also include providing innovative solutions to drug discovery laboratories and pharmaceutical companies through the use of advanced analytical technologies. Prior to joining Shimadzu, Navin worked as an R&amp;D scientist at a multinational pharmaceutical company. During this time, he actively contributed to the development of analytical methods for identifying process-related impurities, degradation impurities, and genotoxic impurities in drug substances and drug products.
</blockquote>

Shimadzu: Streamlining Your Purification Workflow With Automation

Streamlining Your Purification Workflow With Automation

How Shimadzu's Nexera Prep can streamline your workflow and produce outstanding results with minimal effort and time.

This Seminar discusses some of the unique chromatographic challenges that oligonucleotides present and offers method development guidelines and optimizations for analytical characterization through scale up to preparative purification.
<blockquote>
Presenter: Connor Flannery (Global Product Manager - LC Biocolumns, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Connor Flannery is a Global Product Manager for LC Biocolumns at Agilent Technologies. Prior to his work in product management, he worked as a R&amp;D Product Development Chemist. His work focused on the development and characterization of novel stationary phases for targeted LC applications, and high-pressure column-packing technologies. He has a Bachelor of Science in Chemistry.
</blockquote>

Agilent Technologies: Detox Your Oligo: Tips to Optimize Lab Scale Purification of Oligonucleotide Workflows

Detox Your Oligo: Tips to Optimize Lab Scale Purification of Oligonucleotide Workflows

Unique chromatographic challenges that oligonucleotides present and offers method development guidelines and optimizations for analytical characterization.

Tips to Optimize Lab Scale Purification of Oligonucleotides

This series is comprised of four different, dissolution focused, lightning talks.
Sessions have been optimized to give you the information you need in a flash - less than 30 minutes per session. Topics include tips for preventing failures, improving efficiency, and more!
​​​​​This talk focuses on key aspects of the dissolution workflow that can be accelerated to produce data faster and reduce overall time between tests.
<blockquote>
Presenter: Ken Boda (Dissolution Product Specialist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Ken joined Varian (now Agilent) in 2005 as an Applications Engineer, is now a Product Specialist. Prior to working with Agilent, he worked in pharma specialized in dissolution testing and method development. He works with customers in determining the best systems for their needs and optimizing their work flows. He has also helped educate customers on dissolution science through webinars, the Dissolution Discussion Group, LinkedIn, etc.
</blockquote>

Agilent Technologies: How to Improve Efficiency by Accelerating Your Dissolution Testing

How to Improve Efficiency by Accelerating Your Dissolution Testing

Key aspects of the dissolution workflow that can be accelerated to produce data faster and reduce overall time between tests.

Improve Efficiency by Accelerating Your Dissolution Testing

This series is comprised of four different, dissolution focused, lightning talks.
Sessions have been optimized to give you the information you need in a flash - less than 30 minutes per session. Topics include tips for preventing failures, improving efficiency, and more!
​​​​​This session explores the release-rate testing basics and method development considerations for cannabis-related products.
<blockquote>
Presenter: Ken Boda (Dissolution Product Specialist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Ken joined Varian (now Agilent) in 2005 as an Applications Engineer, is now a Product Specialist. Prior to working with Agilent, he worked in pharma specialized in dissolution testing and method development. He works with customers in determining the best systems for their needs and optimizing their work flows. He has also helped educate customers on dissolution science through webinars, the Dissolution Discussion Group, LinkedIn, etc.
</blockquote>

Agilent Technologies: Dissolution Testing Advice for Cannabis Products

Dissolution Testing Advice for Cannabis Products

Release-rate testing basics and method development considerations for cannabis-related products.

Key Learning Points:
Discover the methodology for effectively evaluating and screening the most suitable HPLC column
Acquire comprehensive knowledge regarding the critical parameters crucial for column selectivity and evaluating a HPLC phase
This presentation will include a parallel comparison of Core-shell and fully porous columns
Who Should Attend:
<ul>
<li>Any HPLC, or Clinical users who are interested in learning tips and tricks in order to pick the right column</li>
</ul>
<blockquote>
Presenter: Shahana Huq (Senior Application Scientist, Phenomenex)
</blockquote>
<blockquote>
Shahana W. Huq is a Senior Application Scientist focusing on emerging technologies and solutions within Clinical Research and Sample Preparation, at the Phenomenex Applications Laboratory since the year 2000. She holds an MS in Biochemistry from California State University, Los Angeles. Her work involves experimental design, analytical method development, optimization, and troubleshooting. Furthermore, she has extensive expertise in R&amp;D product innovation and application development, as well as hands-on experience in sample preparation and LC-MS/MS. Shahana’s drive, and vision of the clinical field has motivated her to participate in various scientific publications and even as a coauthor of Phenomenex patent on sample preparation products (2006). Currently, Shahana works closely with global customers in the clinical research industry, providing technical support and consultation services as well as onsite seminars and webinars to promote peer development.
</blockquote>

Phenomonex: Column Selectivity Screening for Vitamin K Compounds

Column Selectivity Screening for Vitamin K Compounds

Methodology for effectively evaluating and screening the most suitable HPLC column.

Polar pesticides are a few of the most challenging compounds to be analyzed by analytical methods.
Their extensive use in agriculture has raised safety concerns around the world and the routine analysis of these compounds has become a requirement for many food laboratories. A growing list of analytes, complex matrices, proper retention and separation of these compounds, and reproducibility are just a few of the challenges testing labs have to deal with. 
Key Learning Points:
Overcome critical challenges in polar pesticides analysis and throughput.
Develop and optimize a robust method for cationic and anionic pesticides.
Learn new advances in column selectivity and MS for optimized separation of polar pesticides.
Who Should Attend:
Any LC users who want to learn about a faster yet robust analysis of polar pesticides or any lab managers who would need consolidation of anionic and cationic pesticides on a single column.
<blockquote>
Presenter: Zara Jalali (Applications Scientist, Phenomenex)
</blockquote>
<blockquote>
Zara did her MSc. in chemical engineering/separation sciences during which she organized many research conferences, and she is passionate about science and technology. She has been working in the field of analytical chemistry for over 15 years, as a toxicologist, forensic scientist, application scientist and lab director. She has extensive experience in the clinical, environmental, forensic toxicology and cannabis industries and her content portfolio includes R&amp; D, Analytical method development &amp; optimization, sample preparation techniques, data analysis, validation, designing laboratory workflow and automation using chromatography, spectroscopy, and mass spectrometry techniques.
</blockquote>
<blockquote>
Zara is an expert using variety of analytical instruments such as GC, GC/MS, GC/MS/MS, HPLC, HPLC/MS/MS and ICP/MS. Zara joined Phenomenex in 2020, as an application scientist mainly focusing on environmental, food and cannabis applications. She has been helping the costumers and the team with finding new solutions for applied market while trying to improve analytical solutions for this dynamic market.
</blockquote>
<blockquote>
Presenter: Dr. Ramkumar Dhandapani
</blockquote>
<blockquote>
Dr. Ramkumar Dhandapani has been in the chromatography industry for over 20 years with hands on and troubleshooting experience.
</blockquote>
<blockquote>
He has earnt a Masters and Ph.D degree in Analytical chemistry from Seton Hall University with specialization in Microextractions, Multidimensional Chromatography and Tandem Mass Specs techniques. He has developed and validated several regulatory compliant methods in Pharmaceutical, Food, Fuels and Environmental industry as well as incorporated method improvement and troubleshooting across a range of separation techniques.
</blockquote>
<blockquote>
Dr. Dhandapani joined Phenomenex in August of 2014 and he serves as a Senior Product Manager at Phenomenex. In addition to managing the product line, Dr. Dhandapani presents on innovations in separation science at various chromatography conference.
</blockquote>

Phenomenex: Fast and Robust Analysis of Anionic and Cationic Pesticides on a Single Column

Fast and Robust Analysis of Anionic and Cationic Pesticides on a Single Column

Critical challenges in polar pesticides analysis and throughput.

Fast and Robust Analysis of Anionic and Cationic Pesticides

Chromeleon CDS is built for IT and compliance without compromising on user friendliness. Join this webinar to learn how easy it is to ensure data integrity, compliance, and future-proof your lab using Chromeleon CDS.
What this session covers:
<ul>
<li>Learn how Chromeleon CDS can simplify audit trail reviews</li>
<li>How to implement administrator-controlled user access to ensure data integrity and compliance with GxP and 21 CFR Part 11</li>
<li>Learn how Chromeleon CDS supports business continuity through network failure protection with 24/7 uptime</li>
<li>Understand the seamless scalability from workstation to enterprise</li>
</ul>
<blockquote>
Presenter: Seth Sheridan (Product Specialist III, Enterprise CDS, Americas, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Seth is an Enterprise CDS technical specialist who has supported Thermo Fisher’s Chromeleon software for over 3 years. Prior to this, he used Chromeleon and other CDS systems in labs at DuPont, DOW, and Eurofins. He holds a B.S. in Chemistry and Biochemistry and enjoys working closely with chromatographers to solve their software issues and improve their processes.
</blockquote>

Thermo Scientific: Data integrity, compliance and IT efficiency made easy

Data integrity, compliance and IT efficiency made easy

Learn how Chromeleon CDS can simplify audit trail reviews. Understand the seamless scalability from workstation to enterprise...

Biological samples are complex in nature and one particular chromatography techniques like HPLC, does not give you all answers. Orthogonality is critical in unfolding the whole picture of complex biologics. Productivity is another bigger concern to improve go to market for any manufacturing organizations. With tools like On Line LC, overall monitoring of process becomes extremely rapid.
Join us to know from our experts in the field to address all these answers.
<blockquote>
Presenter: Dr. Sunil Kumar (Postdoctoral Research Associate, Department of Chemical Engineering, Indian Institute of Technology, Delhi)
</blockquote>
<blockquote>
Dr. Sunil Kumar is working as a postdoctoral associate at the Centre of Excellence for Biopharmaceutical Technology (COE-CBT), IIT Delhi, India. He obtained his Ph.D. in biotechnology from the University of Mysore, India. He was awarded a start-up research grant from the Department of Science and Technology, India, under the Young Scientist scheme in 2015. This grant enabled him to pursue his idea at the Kusuma School of Biological Sciences, IIT Delhi, for three years. His research interests are proteomics, protein crystallography, and protein therapeutic characterization. Currently, he is focusing on developing automated sample preparation and novel mD-LC-MS based workflows for biotherapeutics characterization. He has published more than 15 research articles in reputed international journals and has presented several posters at international and national conferences.
</blockquote>
<blockquote>
Presenter: Mr. Shreyas Tribhuvane (Business Development Manager, PL BC, Agilent Technologies)
</blockquote>
<blockquote>
Shreyas has 10 years experience in working closely with biopharma customers in understanding their analytical characterization needs. As a BDM for Biocolumns and Glycan kits his prime responsibility is to work on the Biopharma market needs and communicate with Agilent solutions unit team in order to have apt solutions. He has a hands-on experience on Agilent Glycan sample prep kits and helped customers in setting up these kits for their glycan characterization work.
</blockquote>
<blockquote>
Presenter: Ms. Paramjeet Khandpur (Biopharma Workflow Commercialization Lead, Agilent Techologies)
</blockquote>
<blockquote>
Paramjeet Khandpur, M.Tech., holds a bachelor’s degree in chemical engineering from VTU University and a Master&#39;s in Bioprocess Technology from the Institute of Chemical Technology, Mumbai. Paramjeet is currently the Biopharma Workflow Commercialization Lead at Agilent. In this role, she leverages her expertise to deliver comprehensive workflow solutions and offer support to customers, catering to their analytical requirements across the Biopharma value chain.
</blockquote>
<blockquote>
Previously, she worked as an Application Engineer at Agilent&#39;s Centre of Excellence Lab in Bangalore, specializing in various liquid chromatography platforms. She also collaborated with users in the Pharma and Biopharma industry for method development, troubleshooting, and method transfer.
</blockquote>

Agilent Technologies: Resolve Your Complex Biological Separations by Advance Chromatography

Resolve Your Complex Biological Separations by Advance Chromatography

Biological samples are complex in nature and one particular chromatography techniques like HPLC, does not give you all answers.

Resolve Your Complex Biological Separations

UV-Vis spectrophotometric analysis is vital for Pharma and Biopharma labs, advancing drug development, quality control, and research.
Explore how the Agilent Cary 3500, in synergy with OpenLab Software, conquers challenges, ensures data integrity, and maximizes productivity. Its modular design tailored to your application needs streamlines complex measurements with minimal sample preparation. With an advanced xenon flash lamp offering a 10-year replacement warranty and no warm-up time, rest assured your sensitive samples are safeguarded for reliable and cost-effective analysis.
Learning Objectives:
<ol>
<li>Overcoming Challenges with Long Pathlength Analysis
</li>
<li>Latest Technology for Solid Sample Analysis
</li>
<li>Simultaneous Measurements with Temperature Control using Multicell
</li>
<li>Simplifying Complex Measurements for Protein and Biological Samples
</li>
<li>Enhancing Laboratory Productivity, Cost Saving, and Ease of Use
</li>
<li>Achieving Data Integrity and Compliance with Global Regulations
</li>
</ol>
Who should attend?
<ul>
<li>Pharma &amp; Biopharma professionals
</li>
<li>QA/QC laboratory analysts and managers
</li>
<li>Researchers, academicians and students in Life Sciences
</li>
</ul>
<blockquote>
Presenter: Shubham Sengupta (Product Specialist – Spectroscopy, Agilent Technologies)
</blockquote>
<blockquote>
Shubham Sengupta is a Spectroscopy Product Specialist at Agilent Technologies, with 14 years of diverse experience ranging from CRO to CTL. He holds a postgraduate degree in Chemistry from Indian School of Mines, Dhanbad (IIT-Dhanbad).
</blockquote>

Agilent Technologies: Powering UV-Vis Analysis in Pharma & Biopharma: Agilent Cary 3500