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

Metrohm

Agilent Technologies

Technology Networks

Thermo Fisher Scientific

Wiley

Shimadzu Corporation

Evosep Biosystems

Waters Corporation

Join us for the fourth SELECT SERIES MRT in Action deminar. In this installment of our series, we will show new levels of imaging clarity and confidence being obtained with MRT, at speeds that realize useful improvements in throughput.
In our applications demo lab we will show the simplicity of changing between MALDI and DESI XS modes, both available on the MRT instrument. We will also highlight new imaging workflows, enabled by micro apps, developed to extract meaningful information quickly.
The session will conclude with a live Q&amp;A where Emmanuelle Claude, Wei Rao and other members of the team, who will be on hand to answer all of your questions. 
Why Should You Attend?
<ul>
<li>Discover how the characteristics of the MRT aid mass spectrometry imaging workflows</li>
<li>Learn how the different imaging modes work to extend imaging coverage</li>
<li>Understand how MRT imaging data is processed through various workflows</li>
</ul>
<blockquote>
Presenter: Emmanuelle Claude (Consulting Scientist, Waters Corporation)
</blockquote>
<blockquote>
Emmanuelle Claude started at Waters Corporation in October 2000 as an Applications Chemist in the Proteomics and Genomics Marketing group, developing automated Peptide Mass Fingerprint (PMF) MS methods using a MALDI-TOF mass spectrometer. Over the years she developed several methods in the proteomics analytical space using MALDI TOF and naturally moved in starting the development of Mass Spectrometry Imaging (MSI) at Waters corporation over 15 years ago.
</blockquote>
<blockquote>
She has been involved with hardware and software R&amp;D to ensure that the solutions are fit-for-purpose for the MSI community and beyond. She has worked extensively with the main MSI leaders in Europe and the US such as Prof Heeren in the Netherlands, Prof Clench, Prof Takats and Bunch in the UK and Prof Caprioli in the US. She has been a Principal Scientist since 2014 and became a Consulting scientist in 2021. Emmanuelle is managing the MS imaging application team at Waters, who are involved in developing new applications and methods for imaging by both MALDI and DESI mass spectrometry.
</blockquote>
<blockquote>
Presenter: Wei Rao (Principal Applications Chemist, Waters Corporation)
</blockquote>
<blockquote>
Wei Rao is currently working as a Principal Applications Chemist in the European Applications Laboratory at Waters Wilmslow, focusing on MS imaging and ambient MS with the DESI XS platform. He has more than 12 years of ambient MS imaging experience, and has worked in various posts in the UK, US, China, and many countries within the APAC region, bringing with him a unique global perspective to the field.
</blockquote>

Accelerated Imaging Clarity

In our applications demo lab we will show the simplicity of changing between MALDI and DESI XS modes, both available on the MRT instrument.

Join us as we uncover how Evosep One empowers researchers to investigate the proteomic landscapes within single cells, paving the way for new discoveries and innovative therapeutic approaches.
<blockquote>
Presenter: Zilu Ye (Researcher at Olsen Group, Novo Nordisk Foundation Center for Protein Research)
</blockquote>
<blockquote>
Presenter: Nicolai Bache (Head of Applications at Evosep)
</blockquote>

Single cell proteomics

How to investigate the proteomic landscapes within single cells, paving the way for new discoveries and innovative therapeutic approaches.

Dear Orbitrap users,
We are pleased to invite you to our Autumn 2023 version of virtual activities to support our Compound Discoverer (CD) software users.
The workshops are designed to bring beginners up-to-speed with best practices as well as allow advanced users to interact with software experts and enquire how to get the most out of their data. Additionally, two dedicated sessions specialized in Metabolite/drug metabolite Identification (Met ID) and Gas Chromatography Mass Spectrometry (GCMS) data analysis will follow.
The content is delivered through online workshops, 2-3 hours each, via MS-Teams. The workshops feature live exercises on pre-distributed data, discussion of CD features, parameters, and optimized settings. The sessions are hands-on and highly interactive, so get the best experience by having CD 3.3 SP2 up and running. <a href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/multi-omics-data-analysis/compound-discoverer-software.html">Click HERE</a> to download a free 60-day trial version of the latest Compound Discoverer software release.
The sessions allow ample time for the participants to get their CD-related questions answered in real time. The workshops will be taught in English, but participants can use MS Team`s instant subtitles in their preferred language.
<h5>Specialized data processing:</h5>
<ul>
<li>Met ID: Wednesday 4th October: 10.00 - 13.30 CEST (Berlin time)</li>
<li>GCMS: Thursday 18th October: 10.00 - 13.30 CEST (Berlin time)</li>
</ul>

Thermo Scientific: Compound Discoverer software workshops (Specialized data processing: Met ID)

Compound Discoverer software workshops (Specialized data processing: Met ID)

The workshops are designed to bring beginners up-to-speed with best practices as well as allow advanced users to interact with software experts.

Compound Discoverer software (data processing: Met ID)

In this virtual Ask Me Anything session we are offering you a chance to delve into the fascinating world of PFAS (Per- and Polyfluoroalkyl Substances).
We are honored to present Dr. Carol Kwiatkowski, a distinguished science and policy senior associate from Green Science Policy, as our esteemed guest.
Dr. Kwiatkowski will be your guide, providing expert insights and answering all your questions about PFAS. From its profound health and environmental concerns to the ever-evolving landscape of regulations, restrictions, and detection techniques. No question is off limits! 
During this session, you can expect to:
<ul>
<li>Engage in a Live Q&amp;A: Seize the opportunity to directly interact with Dr. Kwiatkowski, posing your most thought-provoking questions, and receive real-time, well-informed answers.
</li>
<li>Gain Expert Perspectives: Immerse yourself in a vibrant exchange of ideas, as Dr. Kwiatkowski shares her profound insights on questions posed by fellow participants.
</li>
</ul>
<blockquote>
Presenter: Dr. Carol Kwiatkowski (Adjunct Assistant Professor, North Carolina State University)
</blockquote>

Technology Networks: Ask Me Anything: PFAS

Ask Me Anything: PFAS

Delve into the fascinating world of PFAS.

Join us for a live presentation highlighting the uses of the Xevo G3 QTof mass spectrometer in a case study of biosimilar mAb characterization at intact, subunit, and peptide level.
<blockquote>
Presenter: Samantha Ippoliti (Principle Scientist, Discovery &amp; Development- Biopharma, Waters Corporation)
</blockquote>
<blockquote>
Sam joined Waters (Milford, MA) in 2018 and has worked on a variety of applications for LC-MS based biopharmaceutical characterization, including peptide mapping analysis and method development, and intact/subunit analysis via reversed phase (RP) and ion exchange (IEX) -MS. Prior to joining Waters, she was part of the LC-MS characterization group supporting a biopharmaceutical developability assessment group at Novartis in Cambridge, MA. Sam acquired a BS-MS in Chemistry from Northeastern University in 2012.
</blockquote>

Waters Corporation: Robust Multi-Level LC-MS Workflows for Biosimilar Comparability Assessment

Robust Multi-Level LC-MS Workflows for Biosimilar Comparability Assessment

Uses of the Xevo G3 QTof mass spectrometer in a case study of biosimilar mAb characterization at intact, subunit, and peptide level.

Robust Multi-Level LC-MS Workflows  for Biosimilars

Ion Mobility (IM) advancements in Software, Data Bases, AI and Machine learning are quickly improving capabilities to make unknown identifications, separate and ID isomers, as well as improve workflows associated with metabolomics, lipidomics, PFAS, and qual-quant screening.
In addition, IM measurements are significantly improved with HRdm High Resolution Demultiplexing. This is the first commercial IM instrument to enable the simultaneous combination of high drift resolution, while at the same time achieving all four of the following measurement capabilities: broad mass range in a single injection, multiplexing to increase sensitivity, compatibility with fast chromatographic acquisition rates , and highest precision in CCS measurements. For more accurate CCS predictions, the better precision in the CCS training set improves AI machine learning SW. This can significantly reduce the number of potential candidate structures to select from when making unknown identifications.
<blockquote>
Presenter: Carrie McDonough, PhD (Carnegie Mellon University)
</blockquote>

Agilent Technologies: Towards more Comprehensive Characterization of PFAS Exposure using Ion Mobility and High-Resolution Mass Spectrometry

Towards more Comprehensive Characterization of PFAS Exposure using Ion Mobility and High-Resolution Mass Spectrometry

Towards more Comprehensive Characterization of PFAS Exposure using Ion Mobility and High-Resolution Mass Spectrometry.

Characterization of PFAS Exposure using IM and HRMS

This webinar highlights the importance of impurity testing in pharmaceuticals and how ion chromatography can provide excellent sensitivity and selectivity when testing for ionic impurities.
The management and control of pharmaceutical impurities is a matter of great concern and is an important part of drug development and regulatory assessment.
Current regulations and guidelines demand a comprehensive understanding of the impurity profile of pharmaceutical products, as their safety and quality can be impacted by these impurities.
The ICH quality guidelines ICH Q3A and Q3B address questions related to the regulation of impurities in the drug substance and drug product, whereas other ICH quality guidelines address specific types of impurities, such as residual solvents and mutagenic impurities.
This webinar explores the different kinds of impurities that may be present in pharmaceutical products and how ion chromatography (IC) is the analytical tool of choice to meet regulatory authorities’ requirements and in defining effective control strategies.
Learn how ion chromatography can help to automate impurities analysis workflows. Inline sample preparation techniques will also be discussed.
Key takeaways:
<ul>
<li>Understand the origins of impurities in pharmaceuticals and why impurity profiling is important
</li>
<li>Gain insight into the regulations surrounding impurities analysis in pharmaceuticals
</li>
<li>Learn about how ion chromatography makes an ideal technique for the analysis of ionic impurities, offering enhanced sensitivity and selectivity, and helping to automate and simplify workflow.
</li>
</ul>
<blockquote>
Presenter: Daniel Pereira (Senior Scientist, Regulatory Affairs, Hovione)
</blockquote>
<blockquote>
Daniel Pereira has been an analytical scientist at Hovione since 2018 and is currently a Senior Scientist of the chemical characterisation team in the R&amp;D Analytical Development Area. He has extensive expertise in the field of chemical characterisation techniques with focus in several chromatography techniques and in the development and optimisation of analytical methods following AQbD approach. Daniel holds a bachelor´s degree in Pharmacy from University of Rio de Janeiro, Brazil and a MSc in analytical chemistry form Minho University, Portugal.
</blockquote>
<blockquote>
Presenter: Linx Waclaski (IC Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Linx Waclaski is the Product Manager for Ion Chromatography at Metrohm USA, in Riverview, Florida. He has years of experience in multiple chromatographic techniques, including ion chromatography, gas chromatography, liquid chromatography, and mass spectrometry, with extensive experience in R&amp;D and applications development. He has an MS in Forensic Science and a BA in Biochemistry from Duquesne University in Pittsburgh, Pennsylvania, US.
</blockquote>

Metrohm: Analysis of impurities in pharmaceuticals using ion chromatography

Analysis of impurities in pharmaceuticals using ion chromatography

The importance of impurity testing in pharmaceuticals and how ion chromatography can provide excellent sensitivity and selectivity.

Analysis of impurities in pharmaceuticals

This online event is aimed at those working within academia and pharmaceutical drug development, who want to hear from experts across their field. Focus will be given to the latest advances in small molecule drug discovery and development, biopharma and biotechnology.
This online symposium will cover:
<ul>
<li>Accelerating drug discovery through AI
</li>
<li>Molecular dynamics simulations for novel drug targets
</li>
<li>Allosteric small-molecule activation of PI 3-kinase for cardioprotection and neuroregeneration
</li>
<li>Analytical solutions for challenging nitrosamine quantitation using LC-MS
</li>
<li>Screening in organoids and complex 3D assays using high-content imaging
</li>
<li>Paucity of novel oncology targets
</li>
<li>An interactive Ask-Me-Anything session where you can pose your questions to thought leadership experts at the forefront of biopharmaceutical commerce
</li>
</ul>
<h3>Agenda Day 2</h3>
<h5>16:00 – 16:30 Screening in Organoids &amp; Complex 3D Assays Using High Content Imaging</h5>
<ul>
<li>Speaker: Michiel Fokkelman, PhD</li>
</ul>
<h5>16:30 – 16:40 Networking Break</h5>
<h5>16:40 – 17:00 Enhancing Safety and Quality Assurance in Cell Based Therapies and ATMPS: The Power of Rapid NAT-Based Mycoplasma Detection</h5>
<ul>
<li>Speaker: Michael Brewer</li>
</ul>
<h5>17:00 – 17:10 Networking Break</h5>
<h5>17:10 – 18:00 Call to Action: Critical Need to Address the Paucity of Novel Oncology Targets</h5>
<ul>
<li>Speaker: Brian D. Lamon, PhD</li>
</ul>
<h5>18:00 – 18:10 Networking Break</h5>
<h5>18:10 – 18:30 Target Discovery and Validation with Arrayed Cell Libraries</h5>
<ul>
<li>Speaker: Alexander Brown, PhD</li>
</ul>
<h5>18:30 – 18:40 Networking Break</h5>
<h5>18:40 – 19:30 To Improve the Selectivity and Sensitivity of Chimeric T-Cell Receptor for Treating Solid Tumours</h5>
<ul>
<li>Speaker: Chun Wu, PhD</li>
</ul>
<blockquote>
Presenter: Joshua Smith, PhD (Global Lead for Industry Partnerships, IBM Research)
</blockquote>
<blockquote>
Presenter: Dr. Chun Wu (Associate Professor, Departments of Chemistry &amp; Biochemistry and the Biological Biomedical Sciences – Rowan University)
</blockquote>
<blockquote>
Presenter: Dr. Bart Vanhaesebroeck (Professor, Cancer Institute, University College London)
</blockquote>
<blockquote>
Presenter: Dr. Grace Gong (Research Fellow, Cancer Institute, University College London)
</blockquote>
<blockquote>
Presenter: David Pardoe (SVP Global Molecular Architects, Evotec)
</blockquote>
<blockquote>
Presenter: Carla Marchioro (VP Scientific Director Global Molecular Architects, Evotec)
</blockquote>
<blockquote>
Presenter: Jack Steed (Senior Technical Marketing Specialist, Sciex)
</blockquote>
<blockquote>
Presenter: Michael Brewer (Director, Global Principal Consultant, Regulatory, BioProduction, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Presenter: Michiel Fokkelman, PhD (Head of High Throughput Screening, Crown Bioscience Netherlands)
</blockquote>
<blockquote>
Presenter: Brian Lamon, PhD (Senior Vice President, Chief Business Officer and Head of BioPharma Business Development, Caris Life Sciences)
</blockquote>
<blockquote>
Presenter: Alexander Brown, PhD (Associate Director ECLIPSE Development, Synthego)
</blockquote>
<blockquote>
Presenter: Mike Ward (Global Head of Life Sciences &amp; Healthcare Thought Leadership, Clarivate plc)
</blockquote>

LabRulez/AI: Advances in Drug Discovery & Development 2023

Advances in Drug Discovery & Development 2023 (Day 2)

The latest advances in small molecule drug discovery and development, biopharma and biotechnology.

Advances in Drug Discovery & Development 2023 (Day 1)

Comparing MS spectra to libraries of reference spectra is one of the most widely used and successful methodologies in the identification of unknown mass spectra. Using this approach, access to an expansive, quality dataset is critical to achieving reliable results.
In this session we will introduce the latest release of the Wiley Registry® / NIST Mass Spectral Library 2023, which combines the power of two trusted MS spectral libraries to provide comprehensive compound coverage and ensure identification across multiple use cases and a wide variety of analytes.
In this session, we will also demonstrate through a series of live examples how this library can be used to successfully identify unknown spectra.
<blockquote>
Presenter: Dr. Nadia Laschuk
</blockquote>
<blockquote>
Dr. Nadia Laschuk is a Product Manager for Wiley Science Solutions, for which she manages new products and databases while supporting existing KnowItAll capabilities. Nadia previously completed her PhD in Materials Science from Ontario Tech University, where she performed research applying a wide array of instrumental techniques to analyze metal-organic coordination compounds. Nadia has since pursued cheminformatics and software, joining Wiley in 2022.
</blockquote>

Wiley: Increase the Likelihood of MS Identification with the Wiley Registry / NIST Library

Increase the Likelihood of MS Identification with the Wiley Registry / NIST Library

The latest release of the Wiley Registry® / NIST Mass Spectral Library 2023, which combines the power of two trusted MS spectral libraries.

MS Identification with the Wiley Registry / NIST Library

Introducing Shimadzu’s Multimodal Imaging System, designed to provide advanced clinical imaging and accelerate research breakthroughs. The powerful system consists of two instruments: the Laser-ablation ICP-MS, which acquires information on the element distribution, and the award-winning iMScope QT MALDI-MS Microscope, which provide information on the compound distribution. The data from both instruments can be seamlessly analyzed using the intuitive IMAGEREVEAL MS software without the need for special data conversion. This integrated data analysis unlocks unparalleled insights into the spatial distribution of elements and biomolecules within tissues and cells, thereby opening up new avenues for diagnostics, biomarker discovery, and drug development.
Join us at our Shimadzu Digital Classrooms as we delve into the world of Multimodal Imaging by exploring real-world application case studies. Experience firsthand how this cutting-edge technology, together with integrated data analysis, provides profound insights quickly and accurately to advance clinical research.
Don&#39;t miss this opportunity to discover the capabilities of Shimadzu&#39;s multimodal imaging system - Register now!
<h3>Learning Objectives:</h3>
<ul>
<li>Discover capabilities of Shimadzu&#39;s Multimodal Imaging System, integrating LA-ICPMS and MALDI-MS Microscopy</li>
<li>Gain comprehensive insights into Shimadzu&#39;s complete solution for LA-ICP-MS</li>
<li>Learn about Shimadzu iMScope QT, a Next-Generation Mass Spectrometry Imaging system</li>
<li>Explore real-world clinical application case studies leveraging the Multimodal Imaging approach</li>
</ul>
<blockquote>
Presenter: Pravin Konde, PhD (Senior Product Specialist, Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Pravin Konde is a Senior Product Specialist (for Spectroscopy &amp; TOC) at Shimadzu Asia Pacific Singapore. He has about 15 years of industry experience of which about 12 years in analytical instruments with expertise in trace element analysis and spectroscopy applications. He is engaged primarily in technical support to regional sales teams and customers. Prior to joining industry, he has done his PhD in Chemistry from Institute of Chemical Technology (formerly UDCT), Mumbai, India.
</blockquote>
<blockquote>
Presenter: Naatasha Isahak, PhD (Product Specialist (Life Sciences), Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Naatasha Isahak is a Product Specialist for MALDI and Life Sciences Products from Shimadzu Asia Pacific Pte Ltd. She has received her PhD from the University of Sydney (Chemistry) working on surface initiated polymerisation on silica nanoparticles using RAFT polymerisation and bioorthogonal conjugation of peptides using Native Chemical Ligation. She then spent 5 years working on developing platforms for stem cells and organoids characterization that included working with microfluidic devices and helical polymers. Naatasha joined Shimadzu in 2022 to expand her experiences to MALDI characterization on materials and biological samples.
</blockquote>

Shimadzu: Powerful Multimodal Clinical Imaging System with LA-ICP-MS and MALDI-MS Microscopy

Powerful Multimodal Clinical Imaging System with LA-ICP-MS and MALDI-MS Microscopy

LA-ICP-MS, which acquires information on the element distribution & iMScope QT MALDI-MS Microscope, which provide information on the compound distribution.