In this episode of ‪ChromatographyTalk‬, ‪Organomation‬ General Manager David Oliva sits down with Imad Haidar Ahmad, Scientific Research Director at Amgen leading separations for Discovery Chemistry and Externalization. Imad's career spans Novartis, Merck, and now Amgen, and his research on computer-assisted method development has landed multiple front covers in Analytical Chemistry.We dig into how his group builds retention models from as few as nine lab experiments to map an entire separation landscape — replacing weeks of trial and error with a resolution map you can query and rebuild from. Imad breaks down where this modeling approach struggles (large molecules, SFC, fully autonomous method development), walks through two-dimensional liquid chromatography in plain terms for anyone who's only worked in 1D, and shares the story behind his group's greenness-score mapping work — including where swapping acetonitrile for methanol worked, and where it didn't.We also talk career advice: what a typical day looks like leading a discovery-stage separations team, how undergrad and grad students can bridge the academia-to-industry gap, and what Imad sees as the field's biggest unsolved problem.<h3>Video Transcription</h3>Chromatographic method development is increasingly moving beyond trial and error toward workflows built on modeling, automation, multidimensional separations, and smarter use of data. In a recent interview, Haidar Ahmad discussed how these approaches are changing pharmaceutical analysis, why understanding the fundamentals of chromatography remains essential, and where some of the biggest opportunities in separation science still lie.Ahmad’s route into analytical chemistry was not entirely planned. As an undergraduate, he initially found inorganic and organic chemistry particularly attractive, but a final-year project focused on the analysis of additives in bread introduced him to the possibilities of analytical chemistry. During his PhD, his research moved into polymer analysis and structure–property relationships. His interest in chromatography deepened when he encountered two-dimensional liquid chromatography (2D-LC), particularly its ability to reveal forms of polymer heterogeneity that could not be adequately characterized using a single separation technique. This eventually led to postdoctoral work with Peter Carr, where Ahmad focused on chromatographic separations and the fundamentals of chromatography.His subsequent career in the pharmaceutical industry exposed him to different stages of drug development, from late-stage method development and validation to drug substance characterization, purification, and finally discovery-stage separations. That breadth of experience has shaped his view of chromatography as both a scientific discipline and a practical problem-solving tool. In late-stage development, the objective may be a highly robust method capable of successful validation and transfer between laboratories. In discovery, by contrast, speed becomes critical because teams may be working with thousands of molecules while trying to identify the best candidates to advance.&nbsp;<h4>Discovery-stage chromatography: speed, prioritization, and throughput</h4>For a separations team supporting drug discovery, the working day is shaped by a constant flow of requests from medicinal chemistry and other partner groups. The challenge is not simply to perform the analyses, but to decide which requests are most urgent, remove bottlenecks, communicate with project teams, and continuously improve existing workflows.According to Ahmad, one of the most important questions is whether a task can be done faster or in a more high-throughput way. Discovery laboratories operate under strong time pressure, and efficiency therefore becomes part of the scientific strategy rather than merely an operational concern. As he describes it, the work combines science, prioritization, leadership, and communication, all with the aim of moving the most important projects forward as quickly as possible.<h4>In silico modeling: letting the computer perform the experiments</h4>One of the central themes of Ahmad’s work is in silico chromatographic modeling. In practical terms, the approach begins with a carefully designed set of laboratory experiments—often around nine runs. The resulting data are fed into software that builds retention models describing how analyte retention changes with variables such as mobile-phase composition and temperature.The software can then generate a resolution map representing a much larger separation space than could realistically be tested experimentally. Instead of running dozens or hundreds of conditions by trial and error, the analyst can identify regions where critical peak pairs are predicted to achieve the best separation.For Ahmad, the value of these maps goes beyond simply finding the condition with the highest resolution. Each point on the map represents a chromatographic condition, while the visual output shows where poor and strong separations are expected. A broad region of good resolution is particularly useful because it points toward a more robust operating space rather than a narrowly defined optimum that might be sensitive to small variations in experimental conditions.He therefore prefers to think of a chromatographic model as a map or database, rather than simply an optimization tool. If an impurity later disappears from the process, the corresponding peak can be removed from the model and new conditions selected without repeating the complete experimental study. Conversely, if a new degradation product appears during stability studies, the peak can be added and the existing model used to search for updated separation conditions.<h4>Why trial and error still has a place</h4>Modeling does not mean that conventional trial-and-error method development has disappeared. Ahmad points out that it remains useful in early discovery, particularly for fit-for-purpose methods where speed is more important than achieving a fully optimized separation.The situation changes later in development. A method intended for validation, transfer, or long-term routine use carries much greater risk. Trial and error may identify a condition that appears satisfactory without revealing whether it represents the most robust region of the separation space. If that method later fails during transfer or routine operation, the consequences can be costly.For late-stage methods, the additional investment required to build a model can therefore reduce risk over the much longer lifetime of the analytical procedure.<h4>Models are only as good as the experiments behind them</h4>Chromatographic modeling is not automatic proof against poor method development. Ahmad compares the technology to a GPS: it is highly useful, but only if the analyst understands where they are trying to go.Careful experimental design remains essential. Incorrect dwell-volume or column-volume information, as well as insufficient column re-equilibration, can produce misleading predictions. Importantly, these problems may not be obvious when the experimental runs used to construct the model are compared with their calculated values. They may emerge only when the software begins predicting new conditions within the modeled design space.Modeling is also easier for some separations than others. Ahmad describes reversed-phase LC of small molecules as comparatively straightforward, while large biomolecules are more challenging because their retention can be highly sensitive to small changes in mobile-phase composition and temperature.Other separation modes present additional difficulties. Ahmad notes that his teams have found supercritical fluid chromatography (SFC) particularly challenging to model successfully. Fully autonomous method development remains another unresolved goal: current tools can automate parts of optimization, but analyst input is still required.<h4>Why two dimensions can reveal what one dimension cannot</h4>Ahmad’s early interest in 2D-LC came from polymer characterization. He explains the principle simply: one-dimensional chromatography may answer one question about a sample, while two complementary dimensions can answer two.Two copolymers, for example, may have similar molecular size and therefore coelute in size-exclusion chromatography. A second separation mechanism based on interaction with a stationary phase may distinguish them according to chemical composition. Combining both dimensions provides a more complete description of complex distributions involving molecular weight, composition, sequence, and other forms of heterogeneity.Historically, the complexity of both instrumentation and software limited wider adoption of 2D-LC. Ahmad recalls systems requiring several computers and multiple software packages. That situation has improved substantially, and 2D-LC is now easier to implement across research and pharmaceutical development.Nevertheless, modeling multidimensional separations still presents challenges. While models can be built for individual fractions or dimensions, current software does not easily identify a common optimum across multiple models simultaneously. Much of this comparison still requires manual work.<h4>Bringing sustainability into method development</h4>Another area where Ahmad sees room for change is green analytical chemistry.Traditional pharmaceutical method development has understandably prioritized resolution, sensitivity, robustness, and turnaround time. Sustainability has often been treated as a secondary consideration, particularly at the analytical scale, where solvent use appears small compared with preparative chromatography or manufacturing.That mindset is beginning to change. Ahmad argues that greenness metrics should increasingly be incorporated directly into method-development software. If analysts could immediately see how changes in flow rate, gradient conditions, solvent choice, or other parameters affect the environmental profile of a method, sustainability could become part of routine optimization rather than an assessment performed after the method has already been developed.The objective, however, is not to pursue the greenest possible method regardless of analytical performance. Ahmad emphasizes the need to develop methods that are as green as possible while remaining fit for purpose. Modeling can potentially help balance these competing requirements by identifying conditions that preserve separation performance while allowing greener solvents or alternative chromatographic conditions to be introduced.<h4>Advice for young chromatographers: do not treat HPLC as a black box</h4>For students learning chromatography, Ahmad’s central recommendation is straightforward: do not treat the HPLC system as a black box.Rather than collecting chromatograms by making random changes, he encourages analysts to build a mental model of the separation. When temperature, gradient, or another parameter is changed, they should ask why retention or selectivity changed and use each experiment to improve their understanding of the system.He also recommends making use of educational resources on chromatographic fundamentals and method development and, importantly, not being afraid to experiment with instrument conditions. Modern systems are robust, but the analyst still needs to understand the underlying separation science in order to use them effectively.The same proactive attitude applies to career development. Ahmad strongly encourages students to seek industry internships and make connections beyond their own institutions. Conferences and poster sessions can provide natural opportunities to meet scientists from industry, discuss research, and ask about internship opportunities. Based on his own experience working with undergraduate and graduate interns, these collaborations can benefit both students and research teams and may strongly influence later academic or career decisions.<h4>What still needs to be solved?</h4>Asked about the biggest unresolved challenges in separation science, Ahmad does not begin with technology. Instead, he points to a shortage of well-trained analytical chemists with a strong understanding of chromatographic fundamentals.Alongside education, he identifies several technical opportunities. One is truly autonomous method development, where an instrument and software could optimize a separation without continuous analyst input. Another is the ability to predict chromatographic selectivity directly from molecular structure.Such capability could be especially valuable in high-throughput discovery environments. If a laboratory could predict which stationary phase and conditions were most likely to separate a particular set of compounds or isomers before entering the laboratory, method development could become considerably faster and more efficient.Taken together, Ahmad’s perspective points toward a future in which chromatography becomes increasingly model-driven, automated, multidimensional, and sustainability-aware. But the technology does not eliminate the need for chromatographic knowledge. On the contrary, as analytical tools become more powerful, understanding the fundamentals may become even more important—the software can explore the separation space, but the scientist still needs to know what question to ask and how to interpret the answer.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote><blockquote><h4>Concentrating on Chromatography Podcast</h4>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!You can find Concentrating on Chromatography Podcast in podcast apps:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL">Spotify</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185">Apple podcast</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography">podscan</a></li></ul>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos">YouTube channel</a></blockquote>

 In Silico Modeling, 2D-LC & Green Chromatography: Imad Ahmad on the Future of Method Development

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

How to Extend the Lifetime of HPLC Columns?

Researchers from CATRIN at Palacký University, together with colleagues from VSB – Technical University of Ostrava and Charles University, have developed a new graphene ink for producing inexpensive and sensitive printed sensors. Using single-atom engineering, they incorporated copper atoms into the material, enabling highly sensitive detection of dopamine – a neurotransmitter responsible for transmitting signals between nerve cells. The approach, <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">presented in the journal Advanced Science</a>, has strong potential for use in medical diagnostics.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp 117w," sizes="100vw" width="1920" height="2560">Single-atom engineering makes it possible to control the chemical reactivity of materials at the level of individual atoms. Its broader application in medical diagnostics has so far been limited by a lack of atomically engineered materials and printable inks based on them. Researchers have now developed a new class of single-atom-doped graphene materials as well as an ink for producing sensitive printed sensors. Copper proved particularly effective for dopamine detection, which is important for biomedical research and the development of advanced diagnostic technologies for diseases including Alzheimer’s disease.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp 117w," sizes="100vw" width="1920" height="2560">“The NGA-Cu ink we developed enables the production of fully inkjet-printed, sustainable paper-based electrodes at very low cost. Each sensor requires only 1.3 micrograms of active ink, costs approximately one Czech koruna and provided a stable response for at least three months. The ink is also fully compatible with commonly available materials inkjet printers. This creates significant potential for producing affordable, digitally designed sensors whose function can be tailored atom by atom,” said&nbsp;the corresponding author of the <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">paper</a> Michal Otyepka.The basis for this new generation of single-atom inks was nitrogen-doped graphene acid (NGA), which CATRIN researchers developed several years ago. They have now progressively enriched it with different individual metal atoms, including copper, iron and manganese.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp 117w," sizes="100vw" width="1920" height="2560">“We found that the electrochemical response depends fundamentally on the type of atom used. While copper atoms significantly enhance the dopamine signal, other metals suppress it. What matters, therefore, is not only the presence of isolated metal atoms but also the specific metal involved. This is a very important finding for the further development of biosensors,” explained first author Martin-Alex Nalepa.The published results introduce a new class of sensing materials with considerable potential for medical diagnostics. The researchers present a broadly applicable platform for developing graphene inks containing individual metal atoms and open the way towards scalable, reproducible and material-efficient production of advanced electrochemical sensors.&nbsp;“We are only at the beginning and are fascinated by the new possibilities opening up before us. We can see that by changing the type of atom, we can control the sensitivity and selectivity of the sensor. In addition to dopamine, we can also determine immunoglobulins very precisely – antibodies whose levels and types may serve as important indicators of autoimmune or infectious diseases,” emphasised Radek Zbořil, a co-author of the paper.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp 117w," sizes="100vw" width="1920" height="2560">Electrochemical biosensors can find applications not only in medicine but also in food quality control, drinking-water monitoring and environmental pollution monitoring. Their key components are functionalised electrodes, and graphene-based materials have proved particularly suitable for their production. A key factor in the success of the Olomouc researchers was the targeted preparation of graphene ink with the required properties.The research was supported by the TECHSCALE project under the Johannes Amos Comenius Programme.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics: Project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587) is financed by the MEYS OP JAC Excellent research programme, supported by ERDF/ESF." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg 245w," sizes="100vw" width="620" height="87"><blockquote><h4>Article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">Single-Atom-Enhanced Fully Inkjet-Printed Electrochemical Sensor for Dopamine Detection</a></h4>Martin-Alex Nalepa, David Panáček, Vítězslav Hrubý, Matěj Jendřišák, Rostislav Langer, Michal Langer, Petr Jakubec, Ivan Dědek, Vojtěch Kupka, Michal Mazur, Radek Zbořil, Michal OtyepkaAdv. Sci., 2026, e76796<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1002/advs.76796">https://doi.org/10.1002/advs.76796</a><h6>licenced under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote><h4>Abstract</h4>Single-atom (SA) engineering offers atomic-level control over interfacial reactivity, yet the lack of printable SA-based inks hinders its practical translation into electrochemical sensing. Here, a fully water-based inkjet-printable ink is introduced based on nitrogen-doped graphene acid (NGA) hosting atomically dispersed Cu centers (NGA-Cu-ink). The ink enables digitally controlled, spatially defined deposition and fabrication of low-cost ($0.04 per sensor), fully inkjet-printed sustainable electrodes on paper. A comparison of NGA functionalized with different SA dopants (Cu, Mn, Fe, Ce) identifies a strong dopant-dependent electrochemical response, with Cu uniquely enhancing the analyte signal while other dopants suppress it, demonstrating that SA identity is a decisive design parameter in printed sensing interfaces profiling sensitivity and selectivity. The functional role of the NGA support is to provide dense anchoring sites (nitrogen and carboxylate groups) that stabilize atomically dispersed metal centers and create adsorption- and electron-transfer–active microenvironments. The NGA-Cu-ink yields enhanced dopamine oxidation, enabling quantitative detection on fully printed devices (limit of detection 9.7 µM; linear range 50–400 µM) and printed-on-electrode platforms (10.6 µM), while maintaining &lt;10% signal variation over 11 weeks. The approach establishes a general route to single-atom graphene-based inks for scalable, reproducible, and low-material-consumption manufacturing of advanced electrochemical sensors.

Atom by atom. Scientists reveal a new direction in medical diagnostics

Article

Academy

Scientists

Interview

Science and research

Video

The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

CATRIN

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

Phenomenex

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

Agilent Technologies

Technology Networks

ACD/Labs

Thermo Fisher Scientific

SelectScience

Waters Corporation

Packaging materials, among them plastics, are now the focus of the circular economy. The recent legislation establishes the elimination of single use plastics and the use of a high percentage of recycled materials in the packaging, even in those used for food applications. Among the postconsumer plastics, PET has been taken as the primary objective for recycling and nowadays the recycling technologies for PET are well advanced, thus producing very high quality of rPET. However, the case of polyolefins is very different. In a recent study carried out in our lab, more than 450 substances were identified in rHDPE and many of them were above the acceptable limits for food contact. It is quite obvious that the use of recycled polyolefins is not ready yet.
The first principle is to guarantee the safety in use. But for this purpose, advanced analytical techniques are required, as the forest of peaks/substances released from the recycled polyolefins is still a nightmare. Usually, when analyzing the leachables/migration the problem is not to detect them, but to identify the individual substances and confirm their identity versus the corresponding standards. Unfortunately, many of the released chemicals don’t have standards available and thus, the confirmation and later quantification is not possible. New advanced techniques, such as ion mobility (IMS) in high resolution mass spectrometry and the use of libraries provide new tools for this purpose.
The presentation will show details of analytical methodology used, a few case studies and the available libraries containing more than 10,000 substances detected worldwide from packaging materials with the IMS data.
<blockquote>
Presenter: Cristina Nerin (Professor, Department of Analytical Chemistry, University of Zaragoza)
</blockquote>
<blockquote>
Full Professor at the University of Zaragoza (Spain), PhD in Analytical Chemistry, Master in Science (Analytical Chemistry) and Degree in Chemistry at the University of Zaragoza (Spain). Director of the Research Group GUIA at the University of Zaragoza and Director of the Master in Environmental Engineering at the University of Zaragoza from 1990 to 2012. Author of more than 395 Scientific Publications included in the Citation Index, Director of 38 PhD Thesis (5 more are in process). Principal Investigator of more than 240 Research Projects in both Competitive calls and also R&amp;D&amp;I with Industry Inventor in six International Patents dealing with active packaging and in one International Patent on Intelligent Packaging. All of them are in exploitation (market). Six Research Awards received. Participant in more than 140 International Conferences and Professor of several International Courses n Europe, Asia and South-America.
</blockquote>

Waters Corporation: How to Guarantee the Safety of Recycled Polyolefins for Food Contact

How to Guarantee the Safety of Recycled Polyolefins for Food Contact

Analytical methodology, case studies and the libraries containing more than 10,000 substances detected worldwide from packaging materials with the IMS data.

Safety of Recycled Polyolefins for Food Contact

Although the human proteome is estimated to consist of up to 6,000,000 proteoforms, targeted interrogation of biological pathways at the protein level can deliver significantly greater quantitative accuracy and precision than non-targeted profiling.
Here we used an Agilent 6495C LC-MS/MS system and the MRM Proteomics PeptiQuant Plus kit to perform targeted analysis of 270 proteins in leukemia cells following treatment with the enzyme-drug L-asparaginase.
<h5>Key questions included:</h5>
<ul>
<li><ol>
<li>Does the kit provide valuable information about cell death pathway activation?</li>
</ol>
</li>
<li><ol start="2">
<li>Which modes of cell death are induced by L-asparaginase in ASNS-negative vs. ASNS-positive cell types?</li>
</ol>
</li>
<li><ol start="3">
<li>Does resistance to L-asparaginase involve inactivation of specific cell death pathways?</li>
</ol>
</li>
</ul>
The resulting data are expected to provide insight into mechanisms of L-asparaginase resistance.
<blockquote>
Presenter: Philip Lorenzi, Ph.D. (Associate Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center)
</blockquote>
<blockquote>
I’m an Associate Professor in the Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center. My laboratory focuses on the development of metabolic therapies for the treatment of cancer (with an emphasis on nutrient metabolism), and I’m also Director of the Proteomics Core Facility and Director of the Metabolomics Core Facility. I’ve co-authored 71 peer-reviewed publications. I co-wrote and was Co-Investigator on a successfully completed $4.5M CPRIT Core Facility Award, managed staff and the budget, and oversaw development of bioanalytical services using current equipment and protocols that we have optimized thoroughly. We’ve developed novel mass spectrometry-based methods for: 1) increasing the accuracy of glutamine and glutamate measurements by minimizing in-source conversion to pyroglutamate; 2) normalizing data based on the DNA content of cell- and tissue-based samples; 3) measuring amino acids from as little as 2 µL of mouse plasma or whole blood; 4) detection of over 2,000 annotated metabolites and lipids per biological sample (including just 2 mg of tissue); 5) stable isotope tracer analyses in vitro and in vivo including methods for measuring energy metabolism; 6) determining the extent and position of 13C incorporation into specific amino acids; and 7) diagnosing and correcting batch effects in metabolomic data. Our multidisciplinary team provides full service contract research in a state-of-the art facility.
</blockquote>

Agilent Technologies: Targeted Proteomic Analysis of Cell Death Pathway Activation in Cancer Cell Lines

Targeted Proteomic Analysis of Cell Death Pathway Activation in Cancer Cell Lines

Agilent 6495C LC-MS/MS and the MRM Proteomics PeptiQuant Plus kit for targeted analysis of 270 proteins in leukemia cells.

Targeted Proteomic Analysis of Cell Death Pathway Activation

Key Learning Points:
<ul>
<li>Learn about the basics of peptides and the digestion of proteins to peptides </li>
<li>A deep dive into different phase chemistries used and the method development design space for optimizing the chromatography </li>
<li>Understand critical parameters and the importance of pressure testing your methods to ensure robustness</li>
</ul>
<blockquote>
Presenter: Helen Whitby, PhD (Senior Product Manager, Bioseparations Phenomenex)
</blockquote>
<blockquote>
Dr. Helen Whitby is the senior product manager for biopharma at Phenomenex. Helen has been with Phenomenex since 2007, starting in the UK sales team as a bulk and prep specialist before joining the technical team in 2016. Helen spent 6 years as a biopharma specialist in the technical team supporting all our biopharma products globally before moving to product management in 2022.
</blockquote>
<blockquote>
Helen has a PhD from the University of Manchester working on analogues of Shikimic acid to treat malaria. Prior to joining Phenomenex, Helen spent a year as a Post-doctoral researcher at the University of Illinois in Chicago, where she studied electron-deficient divalent reactive intermediates, specifically nitrenium ions for the development of antiviral agents to treat Ebola.
</blockquote>

Phenomenex: Method Development Strategies for Peptide Analysis

Method Development Strategies for Peptide Analysis

Topics: The basics of peptides, A deep dive into different phase chemistries, Understand critical parameters.

Questions that are answered by structure elucidation and &amp; verification are integral parts of chemical R&amp;D workflows from discovery to development and manufacturing. But as scientists constantly strive to do their work faster and better, they must be careful to ensure that efficiency does not come at the cost of confidence in the determined structure.
Join us as we bring together experts from some of the industry’s leading organizations to share how they leverage software to make the most of their NMR, LC/MS, and GC/MS data and boost their structure elucidation and verification workflows.
<h5>Who won’t want to miss this symposium?</h5>
<ul>
<li>Synthetic and medicinal chemists responsible for elucidating and verifying the structures of their reaction products and by-products Natural products researchers
</li>
<li>Members of structure elucidation groups
</li>
<li>Decision makers at institutions where chemical structures need to be identified quickly and confidently
</li>
</ul>
<h3>Event Agenda</h3>
<h5>15:30-16:10 (CEST) Novartis CSI: Detectives in the Chemistry Lab</h5>
<ul>
<li>Dorina Kotoni (Associate Director/Chemical Structure Investigation Group Lead, Novartis)</li>
</ul>
<h5>16:15-16:50 (CEST) Structure Elucidation at Pfizer Sandwich</h5>
<ul>
<li>John Baker (Principal Scientist, Pfizer)</li>
</ul>
<h5>16:55-17:30 (CEST) A Chemical Characterization Workflow to Speed up Identification of Unknowns</h5>
<ul>
<li>Cindy Roberson (Principal Scientist, Medtronic)</li>
<li>Joe Buchman (Senior Chemist, Medtronic)</li>
</ul>

ACD/Labs: What's That Peak? Structure Elucidation & Verification Virtual Symposium 

What's That Peak? Structure Elucidation & Verification Virtual Symposium

What’s in my sample? Did I make what I think I made? What’s that peak?

What's That Peak? Structure Elucidation & Verification

The separation and analysis of lipids and lipid-based formulations like mRNA vaccines by chromatography in conjunction with spectrometry can be challenging. Many lipids lack a chromophore and not all lipid classes have an appropriate retention on reversed-phase. Separation on normal phase followed by a rapid derivatization with primuline simplifies lipid analysis in many cases.
In this webinar, Prof. Dr. Melanie Broszat, full professor in Analytical Chemistry at the Offenburg University of Applied Sciences and Editor of the CAMAG Bibliography Services at CAMAG, will present the potential of HPTLC in the field of lipids. A method for quality control of lipid-based formulations with the fully automated HPTLC PRO System will be shown. She will also discuss the use of HPTLC coupled with mass spectrometry in the field of lipidomic research.
<h5>Key learning objectives</h5>
<ul>
<li>Learn more about lipid analysis by HPTLC</li>
<li>Discover more about automated HPTLC</li>
<li>Learn how to simplify quality control</li>
</ul>
<h6>Who should attend?</h6>
<ul>
<li>Analytical chemists</li>
<li>Lab technicians</li>
<li>Scientists interested in analytical technologies</li>
</ul>
<blockquote>
Presenter: Professor Dr. Melanie Broszat (Professor in Analytical Chemistry and Editor at CAMAG Bibliography Services CAMAG)
</blockquote>
<blockquote>
Prof. Dr. Melanie Broszat is a full professor in Analytical Chemistry at the Offenburg University of Applied Sciences, Germany. She is also the editor of CAMAG’s customer journal and the Secretary General of the Germany Chapter of the international HPTLC Association. From 2014 to 2022, she worked as a Scientific Business Development Manager at CAMAG in Switzerland. She studied for her PhD in molecular biology and environmental microbiology under the supervision of Prof. Dr. Elisabeth Grohmann at the Albert-Ludwigs-University in Freiburg, Germany, from 2010 to 2013. From 2004 to 2008 she studied Process Engineering at the Offenburg University of Applied Sciences.
</blockquote>
<blockquote>
Presenter: Carrie Haslam (SelectScience)
</blockquote>
<blockquote>
Dr. Carrie Haslam is an Associate Editor at SelectScience, playing a key role in content production and specializing in Materials Science, Alzheimer’s disease and Clinical Diagnostics. Carrie completed a Ph.D. from The University of Plymouth, where she developed graphene-based biosensors for the early diagnosis of Alzheimer’s disease.
</blockquote>

SelectScience: Use of automated HPTLC in the field of lipidomics

Use of automated HPTLC in the field of lipidomics

We will present the potential of HPTLC in the field of lipids. 

The momentous success of mRNA vaccines has prompted the exploration of new analytical approaches for supporting the development, production and deployment of new nucleic acid therapeutics.
Broader acceptance of MS-based sequencing techniques has been hampered by size limitations where approximately 25-30 nucleotides is the upper practical limit at which full-sequence coverage is achievable by top-down MS. A typical bottom-up strategy for tackling strands containing hundreds of nucleotides involves digesting the initial substrate into smaller products amenable to subsequent tandem MS.
In the quest to devise a mid-down strategy, we have been exploring how to increase the upper practical limit of tandem MS analysis. At the same time, we have been developing strategies for controlling the efficiency of the digestion step, in such a way as to minimize the formation of non-informative products, while maximizing the yield of products with sizes in the upper range accessible by tandem MS.
This webinar will present our progress in developing experimental strategies as well as the software tools necessary to support experimental design and data interpretation.
<h5>Attend this webinar to:</h5>
<ul>
<li>Increase knowledge in the tandem mass spectrometry-based analysis of RNA</li>
<li>Learn about new software algorithms for RNA characterization</li>
<li>Improve understanding of the activity of nucleases for RNA digestion</li>
</ul>
Presenter: Prof. Dan Fabris (Professor of Chemistry, Founder of RiboDynamics, LLC., Department of Chemistry of University of Connecticut)

Technology Networks: A Novel Strategy for Sequencing Larger RNA With Mass Spectrometry

A Novel Strategy for Sequencing Larger RNA With Mass Spectrometry

Our progress in developing experimental strategies as well as the software tools necessary to support experimental design and data interpretation.

Strategy for Sequencing Larger RNA With Mass Spectrometry

When using a UV-VIS Spectrometer for routine measurements, efficiency and throughput are key. The traditional measurement workflow can be improved through simultaneous data collection - which allows for faster measurements and the ability to run multiple experiments at the same time.
<blockquote>
Presenter: Scott Melis, PhD (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Scott Melis has a PHD in Physics from Georgetown University in Washington, DC and started with Agilent in 2021 as a Molecular Spectroscopy Application Scientist. In his graduate work, Scott studied nanoparticle formation and growth for a variety of applications. Projects that he worked with include developing processes to deposit and characterize semiconducting molecular nano-cocrystals for use in optoelectronic devices as well as controlling polymer nanoparticle size through rapid mixing conditions.
</blockquote>

Agilent Technologies: Simultaneous Data Collection - Improving Your UV-Vis Workflows

Simultaneous Data Collection - Improving Your UV-Vis Workflows

When using a UV-VIS Spectrometer for routine measurements, efficiency and throughput are key.

Simultaneous Data Collection - Improving Your UV-Vis

As population grows, demand for food consumption and global trade in the food industry has also increased. Hundreds of pesticides are routinely used for crop protection across the globe, traces of pesticides left in treated commodities are called “residues”.
Regulation (EC) No 396/2005 sets maximum residue levels of pesticides in or on food and feed and is under constant revision as shown by the recent amendment EU 2021/155, published February 9th 2021. A growing target list of pesticides in complex matrices, and the need for low limits of detection, bring various challenges to testing laboratories.
<h3>Pesticide Thursdays - A Waters&#39; 3-episode webinar series</h3>
<h4>Episode 2 - APGC-MS/MS a game changer for routine pesticide analysis: Reaching new heights</h4>
With the increasing demand for food and increased global supply chains there is more pressure for laboratories to operate efficient, sensitive, and selective multiresidue pesticide methods.
A growing target list of pesticides in complex matrices, and the need for low limits of detection, bring various challenges to testing laboratories. The use of GC-MS/MS utilizing atmospheric pressure gas chromatography (APGC) has been shown to offer significant improvements in performance over electron ionization (EI) for pesticide residue analysis, in terms of selectivity and specificity.
Join us for the Pesticide Thursdays webinar series and learn more about Waters turn-key solutions developed to tackle pesticide residue analysis in food and feed.
We are looking forward to discussing these topics with you.
<blockquote>
Presenter: Wim Broer (Development and Science, Nofalab)
</blockquote>
<blockquote>
Presenter: Janitha de Alwis (JD) (Senior Applications Chemist, Waters Corporation)
</blockquote>
<blockquote>
Janitha de Alwis (known as JD) is an applications chemist in the European demo lab, based in Wilmslow, UK. His main role focuses on application development work for the food and environmental sector. JD takes great pride in speaking to, and advising, many food and environmental customers. His position requires him to be reactive and proactive to the changes in the food industry, such as, changing regulations, topical issues and food safety risks.
</blockquote>
<blockquote>
Presenter: Rhys Jones (Principal Consulting Scientist, Waters Corporation)
</blockquote>
<blockquote>
Rhys has worked for Waters in research and development for 20 years with a strong focus on gas chromatography mass spectrometry. ​The early part of his career was spent developing and supporting the AutoSpec magnetic sector instrument. ​One of his current responsibilities is the research, development and support of the atmospheric pressure gas chromatography (APGC) chemical ionization source, which has allowed the full range of Waters’ mass spectrometry techniques to be applied to GC analyses.
</blockquote>

Waters Corporation: APGC-MS/MS a game changer for routine pesticide analysis: Reaching new heights

APGC-MS/MS a game changer for routine pesticide analysis: Reaching new heights

The use of GC-MS/MS utilizing APGC has been shown to offer significant improvements in performance over electron ionization (EI) for pesticide residue analysis.

APGC-MS/MS a game changer for routine pesticide analysis

In this educational webinar series, we will go back to the basics of chromatography, mass spectrometry, data analysis and troubleshooting. Understanding the importance of the basics will enable you to be more effective in your laboratory. During each session we will cover a specific aspect of your LC or LC/MS system:
<ul>
<li>The theory of chromatography and requirements for great separations</li>
<li>The basics of your Liquid Chromatograph (LC): Pumps, injectors, and detectors</li>
<li>An Introduction to mass spectrometry (MS) systems</li>
<li>Considerations with System Suitability</li>
<li>Troubleshooting your LC and MS systems</li>
</ul>
<h3>PART 4 | INFORMATICS</h3>
<ul>
<li>What is System Suitability and Why is it Important?</li>
<li>Why Should we Prove a System is Suitable for Use?</li>
</ul>
<blockquote>
Presenter: Lissa Wang (Informatics Business Development Specialist, Waters Corporation)
</blockquote>
<blockquote>
Lissa Aspiras Wang has been with Waters Corporation since 1998 when she started to be a Millennium/Empower Trainer in the Customer Education department. She has also held roles in Technical Service and Global Service and Support for Informatics. Currently, she is part of the Informatics Business Development team supporting the Informatics sales team for Empower and NuGenesis informatics portfolio. Prior to joining Waters, Lissa worked as an analytical chemist in the pharmaceutical, biotechnology and medical device industries for 8 years across the US and the globe.
</blockquote>
<blockquote>
HOST: Alexandra (Allie) Ahern (Informatics Product Marketing Manager, Americas Field Marketing, Waters Corporation)
</blockquote>
<blockquote>
Allie Ahern has been with Waters for 10 years and is the Informatics Product Marketing Manager within the Americas Field Marketing Organization. Prior to Allie’s current role, she has held other roles at Waters including Service Marketing Product Manager, Implementation Project Manager, and Field Service Engineer.
</blockquote>
<blockquote>
Q&amp;A Panelist: Neil Lander (Principal Product Manager, 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>
<blockquote>
HOST: Kieron Faherty, Ph.D. (Separations and Mass Spectrometry Field Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Kieron Faherty is the Separations and Mass Spectrometry Field Marketing Manager for the Americas at Waters Corporation. He received his B.Sc. (Hons) in Chemistry from the University of Reading (Reading, Berkshire, UK) and his doctorate in Chemistry from the University of Massachusetts (Amherst, MA). He has held several field-based positions at Waters, most recently as a Field Applications Specialist focused on biopharmaceutical applications using Time-of-Flight mass spectrometry instrumentation.
</blockquote>

Waters Corporation: Fall Back to Basics - Part 4: Informatics

Fall Back to Basics - Part 4: Informatics

PART 4 topics: What is System Suitability and Why is it Important? Why Should we Prove a System is Suitable for Use?

Welcome to the 2022 Detection and Quantification of PFAS in Air, Water, Soil, and Food Packaging e-learning series.
In the third event of our three-part eSeminar series, a leading expert in PFAS analysis will discuss a variety of topics around PFAS in food packaging materials, including method development and sample preparation.
A non-intentionally added substance or NIAS, in packaging is an issue of growing concern. First mentioned in EU Regulation 10/2011, predictable and unpredictable NIAS, in the form of degradation products and impurities, were found not only in plastic but also in paper and in newly developed materials, such as recycled and biobased packaging.
In the case of recycled materials, there is a new type of NIAS, which comes from recycling cycles: an accumulation of different mixture of chemicals might occur when materials are recycled many times. The prediction, identification and control of NIAS in recycled materials is therefore challenging because of the difficulty tracing their origin.
Due to the complex identification of the contamination pathway, chemicals like PFAS can be considered to be both intentionally and non-intentionally added. Some PFAS molecules are included for use and find market applications in food contact materials due to their grease- and water-proof properties. In this case they are intentionally added. This is frequent in paper packaging; and when this also has a recycled content, PFAS can be present as NIAS, originating from the intentionally added PFAS in the recycled paper fibres, or from inks, for example. 
Environmental contamination should also not be ignored, where PFAS can be introduced in paper packaging from water used during the recycling or manufacturing process or from the atmosphere. 
Distinguishing between these sources is important: new instrumental technologies and approaches are needed, not only for analytical efficiency and for performance, but also to open up the identification and quantification of what is predictable and what is not.
<blockquote>
Presenter: Andrea Vittadello (Project Manager-Sustainability, Mérieux NutriSciences Food Science Center)
</blockquote>
<blockquote>
Andrea Vittadello co-ordinates the group of Project Managers in Mérieux NutriSciences Food Science Center and is himself Project Manager for the Sustainability area. He has been part of this laboratory since 2002 and has been involved almost immediately in biodegradability studies. He is a member of the European Bioplastics Technical Committee and the BPI Committee on Standards and Procedures. He is also currently Convenor at two CEN groups for Specific and Global Migrations, and of a UNI committee on Food Contact Materials.
</blockquote>

PFAS: A package deal

We will discuss a variety of topics around PFAS in food packaging materials, including method development and sample preparation.