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

Pittcon

Thermo Fisher Scientific

SelectScience

SCIEX

Evosep Biosystems

Waters Corporation

Supramolecular structures formed from bioactive and responsive polymers can be used as smart carrier systems for enzymes or drugs. Given the inherent heterogeneity of these complex nanostructures, their characterization is a significant challenge.
In this exclusive webinar, join experts Dr. Susanne Boye and Dr. Robert Mildner, to learn more about asymmetric-flow field-flow fractionation (AF4), a versatile, state-of-the-art separation technique for simplifying sample matrices, enabling subsequent microstructural analysis. Coupled AF4 with multiple online detectors (multi-angle light scattering, dynamic light scattering, differential refractometer, UV/Vis and differential viscometer) provides rich data for multidimensional characterization and correlation.
The MD-AF4 analytical platform supports in-depth physical and chemical understanding of natural and synthetic macromolecules, their self-assemblies and bioconjugates. Dr. Boye and Dr. Mildner will discuss MD-AF4 and its applications to polymer-protein hybrids, exosome-polymer-hybrids, stimuli-responsive polymeric vesicles and single chain nanoparticles.
Key learning objectives
<ul>
<li>Learn more about the background and instrumentation for separation and analysis by MD-AF4
</li>
<li>Find out how MD-AF4 determines physical and chemical parameters of natural and synthetic macromolecules
</li>
<li>Discover how MD-AF4 is used to analyze self-assemblies and bioconjugates
</li>
</ul>
Who should attend?
<ul>
<li>Chemists and nanoengineers requiring in-depth characterization of complex polymeric and nanoparticle systems
</li>
<li>Drug-development scientists exploring analytical instrumentation for nano-drug delivery vehicles
</li>
</ul>
<blockquote>
Presenter: Susanne Boye, PhD (Center for Macromolecular Structure Analysis)
</blockquote>
<blockquote>
Dr. Susanne Boye is the leader of the Field-flow Fractionation team of the Polymer Separation Group, the leader of the Thermal Analysis Lab and deputy head of the Center for Macromolecular Structure Analysis of the Leibniz Institute of Polymer Research Dresden (IPF), Germany. She graduated in biochemical engineering and obtained a PhD in the polymer separation field at the Technical University Dresden and IPF. Dr. Boye is particularly interested in the conformation analysis of biomacromolecules and the physico-chemical characterization of polymer-protein conjugates, complex synthetic and natural (bio-) nanostructures and molecular interactions, with more than 60 publications in these fields.
</blockquote>
<blockquote>
Presenter: Robert Mildner, PhD (Waters | Wyatt Technology)
</blockquote>
<blockquote>
Dr. Robert Mildner is an Application Scientist at Wyatt Technology in Europe, where he is responsible for performing research projects and feasibility studies utilizing Wyatt´s unique instrumentation. His work includes testing of novel applications as well as the implementation of established methods for users of Wyatt instruments. He focuses on field-flow fractionation (FFF) and size-exclusion chromatography (SEC) coupled to multi-angle light scattering (MALS). Robert obtained his PhD from the University of Technology Braunschweig, Germany, in the field of macromolecular chemistry.
</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>

Waters Corporation: Unraveling the complexity: Advanced analysis of polymeric nanostructures

Unraveling the complexity: Advanced analysis of polymeric nanostructures

Learn more about asymmetric-flow field-flow fractionation (AF4).

Advanced analysis of polymeric nanostructures

The identification and quantification of compounds in biological samples are commonly performed using a technique called reversed phase-HPLC- hyphenated to mass spectrometric detection (RP-HPLC-MS).
However, when authentic standards are not available, quantification becomes difficult due to the analyte-specific response of the detector, as the relative signal intensities in electrospray ionization-MS are dependent on ionization efficiency.
The choice of an appropriate standard is further limited by various parameters such as the chemical and physical properties of the analyte or the retention behavior.
Additionally, in lipid research, the analytes often lack chromophoric groups, which means that UV/vis detection is not feasible, or additional derivatization procedures become inevitable.
To overcome these challenges, a complementary quantification strategy called charged aerosol detection (CAD) is employed. CAD offers a consistent and uniform response for nearly all non-volatile substances, whilst ensuring both mass sensitivity and robustness.
In this webinar, quantification strategies without authentic standards based on HPLC-CAD will be showcased for determination of several lipid classes in complex sample matrices. Examples of these lipid classes include biosurfactants like rhamnolipids and liamocins, as well as membrane lipids such as phospholipids.
Learning points:
<ul>
<li>What makes charged aerosol detection so powerful
</li>
<li>What benefits it offers
</li>
<li>What applications are ideal for charged aerosol detection?
</li>
</ul>
Who should attend:
<ul>
<li>Laboratory managers
</li>
<li>Technology leaders
</li>
<li>Principal scientists
</li>
<li>Laboratory analyst
</li>
</ul>
<blockquote>
Presenter: Prof. Dr. Heiko Hayen (Professor, Institute of Inorganic and Analytical Chemistry, University of Münster)
</blockquote>
<blockquote>
Heiko Hayen is professor for Analytical Chemistry at the University of Münster since 2014. He studied Food Chemistry and obtained his PhD in Analytical Chemistry at the University of Twente (Enschede, The Netherlands) in 2003.
</blockquote>
<blockquote>
After a postdoctoral research stay at the Institute for Marine Biosciences (National Research Council of Canada, Halifax, Nova Scotia, Canada), he moved to the Department of Bioanalytics, Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund.
</blockquote>
<blockquote>
From 2010 to 2014 he held a professorship in Food Chemistry at the Faculty of Mathematics and Natural Sciences, University of Wuppertal.
</blockquote>
<blockquote>
His current research interests include the development of hyphenated mass spectrometric methods for the investigation of metabolites and lipids, like phospholipids and glycolipids, using HPLC-MS, SFC-MS and capillary IC-MS.
</blockquote>
<blockquote>
Presenter: Chris Tuczemskyi (Moderator, Product Marketing Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Chris Tuczemskyi is a chromatography specialist at Thermo Fisher Scientific, based in Cambridge, UK. After spending a number of years building up his experience with chromatography instruments in a water testing laboratory, he joined Thermo Fisher Scientific in 2014 as a chromatography service engineer for Unity Lab Services. Here he developed his passion for supporting customers using HPLC and in 2018 moved into the application specialist team. More recently, in 2022 he made the move to Product Marketing to help ensure we meet and exceed our customers expectation. In 2009, Chris graduated from the University of Essex in Biochemistry (Bsc Hons).
</blockquote>

Thermo Scientific: Absolute quantification of lipids in complex mixtures by HPLC without authentic standards

Absolute quantification of lipids in complex mixtures by HPLC without authentic standards

Quantification strategies without authentic standards based on HPLC-CAD will be showcased for determination of several lipid classes in complex sample matrices.

Absolute quantification of lipids

Immunopeptidomics is an emerging field that combines proteomics and immunology to study the complex repertoire of peptides presented by major histocompatibility complex (MHC) molecules on the cell surface.
These MHC-bound peptides, known as immunopeptidomes, play crucial roles in immune recognition and activation, influencing various physiological and pathological processes such as immune surveillance, infectious diseases, autoimmunity, and cancer.
Join our webinar to explore recent advancements, challenges, and applications in immunopeptidomics. Discover how Evosep One accelerates discoveries, and support the understanding of immune responses and diseases.
<blockquote>
Presenter: Anthony Purcell (Professor, Purcell Lab, Monsah University)
</blockquote>
<blockquote>
Presenter: Nicolai Bache (Head of Applications at Evosep)
</blockquote>

Advancing Immunopeptidomics

Recent advancements, challenges, and applications in immunopeptidomics.

<h5>Solving Problems that Matter: Risk Mitigation in the Pharma QC Laboratory</h5>
Expert Insights 3-Part Webinar Series: Risk Assessment, Control Strategies, and Intuitive Innovation to Improve Data Quality, Data Integrity and Lab Productivity. 
Pharma QC labs are facing increasing pressure on the cost of quality while maintaining compliance and assuring patient safety. From the harmonization of USP &lt;621&gt; to Empower™ workflows supporting data integrity to improving method transfer outcomes, you will learn from subject matter experts how to reduce errors and mitigate risk for reproducible data and enhanced productivity. 
Who should attend
<ul>
<li>Pharma QC Lab directors, managers and senior scientists with a drive to reduce errors, improve lab productivity and enhance data quality &amp; integrity.</li>
</ul>
<h3>PART 3 l Creating Efficiency in Your Routine Workflow with Simple Automation Steps in Empower</h3>
<ul>
<li>Wednesday, August 30th, 11:30-12:30 ET</li>
</ul>
According to the PIC/S guidance, complex or open-ended processes that lead to subjective interpretation can result in an increase in data failures. One way to reduce this risk is with a simplified, well-defined process. Empower software enables you with tools to create structure in your chromatographic processes and workflow.
In this presentation we will define a chromatographic workflow with Empower software to support data integrity goals - starting with method development, method validation, and routine usage to data acquisition, data processing, reporting results, and using control charts to track and trend data. This presentation will also introduce new features coming to Empower 3.8.0 such as safeguards to prevent common errors, enhanced column tracking &amp; history and more detailed audit trails.
<blockquote>
Presenter: Neil Lander (Principal Product Manager - Informatics Group, Waters Corporation)
</blockquote>
<blockquote>
Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager in Waters in the Informatics group. Neil provides internal support for Empower CDS software and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters Corporation, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.
</blockquote>

Waters Corporation: Creating Efficiency in Your Routine Workflow with Simple Automation Steps in Empower

Creating Efficiency in Your Routine Workflow with Simple Automation Steps in Empower

Chromatographic workflow with Empower software to support data integrity goals.

Creating Efficiency in Your Routine Workflow

Immunopeptidomics is a field that combines proteomics and immunology to study the complex repertoire of peptides presented by major histocompatibility complex (MHC) molecules on the cell surface.
These MHC-bound peptides, known as immunopeptidomes, play crucial roles in immune recognition and activation, influencing various physiological and pathological processes such as immune surveillance, infectious diseases, autoimmunity, and cancer.
Join our webinar to explore recent advancements, challenges, and applications in immunopeptidomics. Discover how EvosepOne accelerates discoveries, and support the understanding of immune responses and diseases.
<h4>IMMUNOPEPTIDOMICS ON THE EVOSEP ONE – NEW LEVELS OF SAMPLE THROUGHPUT AND PRODUCTIVITY</h4>
Immunopeptidomics is the study of peptide antigens that are bound to and presented on the cell surface by molecules encoded by the Major Histocompatibility, a highly polymorphic region of the genome that encode molecules involved in immune responses. These peptides are derived from both intracellular and extracellular degradation of the parental proteins, generating a highly complex repertoire of peptide ligands, including peptides derived from pathogens, tissue specific and cancer specific antigens when relevant. In humans, human leukocyte antigen (HLA) class I and class II molecules are of particular interest for immunopeptidomic analysis. These molecules are encoded by several loci and constitute thousands different alleles that vary between individuals. Thus, immunopeptidomes are highly individualized and almost impossible to accurately predict. This predicates the empirical measurement of the complexity and diversity of immunopeptidomes using mass spectrometry. Due to the relatively small amounts of material available for analysis the use of nanoflow LC-MS for immunopeptidome analysis is critical. Here I explore the implementation of the high throughput EvoSEP one platform couples to a Bruker timsTOF Pro 2 for robust analysis of immunopeptidomes across a variety of tissues and cell lines. Using the Whisper 20SPD method data quality and depth is maintained whilst sample carryover is negligible allowing more productive use of instrument time; I highlight significant improvements in throughput with over 1500 immunopeptidomes characterised in just 3 months.
<blockquote>
Presenter: Anthony Purcell (Professor, Purcel Lab, Monsah University)
</blockquote>
<blockquote>
Presenter: Nicolai Bache (Head of Applications at Evosep)
</blockquote>
<h4>MAPPS: High throughput immunopeptidomics for the assessment of the immunogenic potential of protein biotherapeutics</h4>
Biologics, mostly monoclonal antibodies and recombinant proteins, are a class of drugs used to treat some particularly difficult conditions. These proteins, when recognized as non-self by the immune system, can elicit unwanted immunogenicity. One of the first steps in this cascade is the presentation of fragments of this protein by MHC complexes on antigen presenting cells, which might ultimately lead to generation of anti-drug antibodies (ADAs). These ADAs can lower the therapeutic efficiency and can lead to severe immunogenic effects. To bring safe biotherapeutics to the market it is critical to thoroughly assess the immunogenic profile of a biotherapeutic. MAPPS (MHC associated peptides proteomics) assays are the method of choice to define all potential immunogenic regions of a protein. ImmuneSpec, an advanced immunopeptidomics platform, offers MAPPS as a service. Here we show how the combination of high-throughput MHC peptide purification, fast LC using EvoSep, and high sensitive MS addresses these needs.
<blockquote>
Presenter: Kurt Boonen (Assistant Professor, Deparment of biomedical sciences, University of Antwerp)
</blockquote>
<blockquote>
Presenter: Nicolai Bache (Head of Applications at Evosep)
</blockquote>

Evosep: ADVANCING IMMUNOPEPTIDOMICS: LEVERAGING EVOSEP ONE FOR HIGH-THROUGHPUT ANALYSIS AND DISCOVERY

ADVANCING IMMUNOPEPTIDOMICS: LEVERAGING EVOSEP ONE FOR HIGH-THROUGHPUT ANALYSIS AND DISCOVERY

Immunopeptidomics: HIGH-THROUGHPUT ANALYSIS AND DISCOVERY

<h3>A New Era of Intuitive Simplicity</h3>
In March 2023 at Pittcon, Waters launched the Alliance iS HPLC System, designed specifically to help QC labs address their biggest challenges around error reduction, workflow efficiency, and compliance.
In this webinar, Debbie Francis, Principal Consulting Product Marketing Manager, QA/QC at Waters, will present some highlights from the product launch at this year’s Pittcon, and demonstrate a new, free tool that will help you to calculate approximately how much time and money the Alliance iS HPLC System could save your lab.
Agenda:
<ul>
<li>Overview of the new product from Fraser McLeod, Vice President of QA/QC at Waters, recorded live at Pittcon 2023
</li>
<li>Fireside chat with Fraser and Dr. Tina S. Morris, Executive Director of the American Association of Pharmaceutical Scientists (AAPS), recorded live at Pittcon 2023
</li>
<li>Demo of the ROI Calculator, a new tool that helps you see just how much time and money the Alliance iS HPLC System can save your lab.
</li>
</ul>
<blockquote>
Presenter: Debbie Francis (Principal Consulting Product Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Debbie has worked for Waters since 2018 and has held multiple product marketing positions for Mass Spectrometry systems and is currently Principal Consulting Product Marketing Manager in QA/QC, focusing on next generation systems, where she has been leading the commercialization of the new era of simplicity in HPLC. Debbie began her career as a scientist in clinical laboratories, before moving into marketing, and prior to joining Waters held various regional and global marketing roles within the life science industry.
</blockquote>

Waters Corporation: Introducing the Alliance iS HPLC System

Introducing the Alliance iS HPLC System

How much time and money the Alliance iS HPLC System could save your lab.

In this session, explore the operation and latest developments of automated SPME for VOCs and SVOCs by headspace, direct immersion, and derivatization techniques.
Furthermore, discover how SPME has key applications for food, water, environmental and forensic samples for use in laboratories for GC-MS and LC-MS and direct MS analysis.
<blockquote>
Presenter: Hans-Joachim Huebschmann (Consultant, VP Sample Preparation, CTC Analytics)
</blockquote>

SelectScience: Solid phase microextraction – How does it work for my samples?

Solid phase microextraction – How does it work for my samples?

Explore the operation and latest developments of automated SPME for VOCs and SVOCs.

Solid phase microextraction–How does it work for my samples?

Key Learning Points:
<ul>
<li>Learn different sample preparation techniques, including solid support liquid extraction, Quechers and SPE
</li>
<li>How to develop a SPE method based on sample matrix and compound properties
</li>
<li>The challenge and workflow in the food Industry
</li>
</ul>
Who Should Attend:
<ul>
<li>Any beginner or intermediate scientists looking to learn more about sample preparation</li>
</ul>
<blockquote>
Presenter: Grace Guo (Senior Technical Specialist, Phenomenex)
</blockquote>
<blockquote>
Grace graduated from the Johns Hopkins University with a Master’s degree in Material Science and Engineering in 2014. In her graduate study, she developed a low-voltage organic phototransistor with an organic small molecule. After her graduation she moved from the east coast to west coast because she loves the all year long sunshine in South California.
</blockquote>
<blockquote>
She spent 3 years in a start-up company as Device Scientist doing single walled carbon nanotube separation and making thin film transistor with them. Most of her experience with Flash system are gained from there. In 2017, she joined Phenomenex as a Technical Specialist supporting globally, especially the Asia-Pacific area. Bilingual in Chinese and English makes it easy for her to communicate with customers in both US and China.
</blockquote>
<blockquote>
At Phenomenex she has more opportunity to have hands-on experience in HPLC, GC and SPE. Discussing the crazy troubleshooting cases with other technical members improves her chromatographic skills every day!
</blockquote>

Phenomenex: Sample Prep for Crude Extraction Removal & SPE Method and Development

Sample Prep for Crude Extraction Removal & SPE Method and Development

Learn different sample preparation techniques, including solid support liquid extraction, Quechers and SPE.

Sample Prep for Crude Extraction Removal & SPE Method

Were you unable to attend your local pharma day? If so not to worry!
We are delighted to host our popular pharma seminar day online. Following a series of events across Europe we are now bringing the talks to you virtually this September.
<h3>Overview</h3>
The analytical challenges within pharma are constantly changing and evolving. In many laboratories the requirements to deliver fast, accurate and robust results is always present and often the workload is growing too. The webinar will focus on analytical challenges and workflows in pharma analysis to help pharma labs succeed in these challenges.
On the day, you will be able to:
<ul>
<li>Hear about Waters’ latest innovation bringing ultimate simplicity to routine HPLC separations
</li>
<li>Learn about the benefits and tools for risk assessment and mitigation in your QC lab
</li>
<li>Understand the latest in AQbD requirements and how to apply them in your lab
</li>
<li>See the latest trace impurity quantification workflows, including nitrosamines analysis
</li>
</ul>
<h3>Agenda</h3>
<h5>Risk Assessment and Mitigation for Analytical Procedures</h5>
<ul>
<li>Andrea Gheduzzi (Principal Pharma Market Development Manager-EMEA, Waters)</li>
</ul>
<h5>Introducing a New Era on Intuitive Simplicity for Routine HPLC Alliance iS and System monitoring</h5>
<ul>
<li>Arjan Timmerman (Principal Pharma Market Development Manager – EMEA, Waters)</li>
</ul>
<h5>Nitrosamines and Beyond. Technologies for Optimizing Performance and Minimizing Risk in Trace Impurity Quantification</h5>
<ul>
<li>Antonia Wierzbicki (Principal Pharma Market Development Manager- EMEA, Waters)</li>
</ul>
<h5>Live Q&amp;A session</h5>
<blockquote>
Presenter: Andrea Gheduzzi (Southern Europe Pharma Market Dev. Manager, Waters Corporation
</blockquote>
<blockquote>
Andrea has spent more than 30 years in the chromatography field. Across his career he had various roles, service engineer, chromatography lab position, and technical application support manager. He has mainly been dealing with pharma accounts, also supporting LC method development activities using DoE/QbD approaches. In his role as Pharma Business Development Manager at Waters he has further expanded his expertise in AQbD and related applications.
</blockquote>
<blockquote>
Presenter: Arjan Timmerman (Pharma Market Development Manager EMEA, Waters Corporation)
</blockquote>
<blockquote>
Arjan is an experienced business development manager with a demonstrated history of working in regulated pharmaceutical industry. He holds a BSc in analytical chemistry and is skilled in life sciences, method development &amp; validation, laboratory informatics, compliance and data integrity.
</blockquote>
Within Waters Europe, he is a business development manager in core markets focusing on compliance and regulatory challenges (e.g. data integrity for laboratories), impurity analyses and recently on extractables &amp; leachables.
<blockquote>
Presenter: Antonia Wierzbicki (Pharma Market Devlopment Manager EMEA, Waters Corporation)
</blockquote>
<blockquote>
Antonia Wierzbicki is a marketing manager at Waters working in EMEA. Antonia has BSc in Pharmaceutical Science and a MSc in Cancer Pharmacology. Following several years working as an analytical chemist in drug development roles within both academic labs and contract research organizations, Antonia has more recently spent time working with analytical chemists to provide solutions using cutting edge technologies to meet their needs and requirements, with a specific interest in ultra-sensitive quantitation of small molecules. Antonia is based in Cambridge UK and keen to connect with like-minded scientists in the field.
</blockquote>

Waters Corporation: Waters Virtual Pharma Day - Analytical Challenges and Workflows in Pharma Analysis

Waters Virtual Pharma Day - Analytical Challenges and Workflows in Pharma Analysis

We are delighted to host our popular pharma seminar day online. Following a series of events across Europe we are now bringing the talks to you virtually.

Analytical Challenges and Workflows in Pharma Analysis

Recent changes to EU recommendations and regulation of per- and polyfluoroalkyl substances (PFAS) compounds in food have resulted in a renewed focus on this area within food manufacturers and testing agencies.
A reliable and sensitive analytical method, appropriate and validated for routine use, is imperative for ensuring consumer safety, not only by meeting current enforced legislation, but also by addressing recommendations for very low limits of quantitation (LOQs) in different foodstuffs.
Nestlé recently developed and validated an LC-MS/MS method for analyzing 57 PFAS compounds at the ng/kg level using the SCIEX 7500 system in various matrices. In this extraordinary webinar, Nestlé scientists will present the findings and results of their analysis.
Please register to learn about:
<ul>
<li>The analytical challenges of achieving LOQs at the ng/kg level in food matrices</li>
<li>The development of a robust LC-MS/MS method</li>
<li>The challenges of the method for routine use</li>
</ul>
Speaker:
<blockquote>
Presenter: Xanthippe Theurillat (Nestlé Research Center, Switzerland)
</blockquote>
<blockquote>
Xanthippe Theurillat is an Analytical Chemist. In 2012, she joined the Official Food Control Laboratory in Lausanne, Switzerland, as a Scientific Expert in the contaminants section. In 2015, she joined Nestlé Research in Lausanne, Switzerland, as an Analytical Scientist in the Analytical Science Department. Here, she specializes in the field of food contaminants, with a specific focus on pesticides, polyphenols, process contaminants (including understanding them at the mechanistic level) and PFAS.
</blockquote>

SCIEX: Development and validation of a sensitive, routine LC-MS/MS method for PFAS in food samples using the SCIEX 7500 system

Development and validation of a sensitive, routine LC-MS/MS method for PFAS in food samples using the SCIEX 7500 system

Nestlé recently developed and validated an LC-MS/MS method for analyzing 57 PFAS compounds at the ng/kg level using the SCIEX 7500 system in various matrices.