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

Tosoh Bioscience

Metrohm

Agilent Technologies

Bruker

Thermo Fisher Scientific

Shimadzu Corporation

Waters Corporation

Karl Fischer (KF) titration is an industry standard method for measuring water content in all types of substances. However, for various reasons some substances are not suitable for a direct Karl Fischer titration:
<ul>
<li>They release their water only slowly</li>
<li>The water is released at high temperature only</li>
<li>The substances are poorly soluble in KF solvents</li>
<li>undergo side reactions with KF reagents</li>
<li>They contaminate the titration cell or the electrodes</li>
</ul>
By using the KF oven method, the above-mentioned problems can be avoided. This makes the KF oven method a perfect solution for the analysis of difficult samples.
By viewing this webinar you will learn…
<ul>
<li>how to handle liquid samples and water standards correctly</li>
<li>how to analyze difficult samples</li>
<li>how to properly prepare your titration system with the KF oven</li>
<li>how to prepare your sample</li>
<li>how to select the optimal heating temperature</li>
<li>which reagents and which water standards you should use to obtain accurate results</li>
</ul>
After viewing this webinar you will know how to perform accurate titrations using the Karl Fischer oven method. Additionally, the speakers will reveal tips and tricks to help you in the daily routine. The webinar will finish with a live Q&amp;A session.
This webinar will be moderated by Allison Reiter, Offering Management Lead – Honeywell Research Chemicals.
<blockquote>
Presenter: Dr. Roman Neufeld (Senior Research Scientist, Honeywell)
</blockquote>
<blockquote>
Roman joined Honeywell in 2017 as an Application Chemist, providing support to a global customer base on technical queries and application development for Karl Fischer titration. Since 2018, he has expanded his role to include development of new and innovative Hydranal reagents to stay ahead of market needs.
</blockquote>
<blockquote>
Presenter: Michael Margreth (Sr. Product Specialist, Karl Fischer Titration, Metrohm)
</blockquote>
<blockquote>
Michael Margreth studied chemistry at the University of Applied Science in Muttenz, Switzerland. He joined Metrohm in 2005 as an application specialist and gained titration experience in the application laboratory. Since 2008 he mainly focuses on Karl Fischer titration and the determination of water.
</blockquote>

Metrohm: Tips and tricks for Karl Fischer water determination using the oven method

Tips and tricks for Karl Fischer water determination using the oven method

After viewing this webinar you will know how to perform accurate titrations using the Karl Fischer oven method. 

Tips and tricks for Karl Fischer water determination

The drive for lower analyte detection limits, increased laboratory productivity, and concerns around gas chromatography carrier gas availability and costs push the need for innovation in gas chromatography (GC) coupled with mass spectrometry (MS) technology.
The next generation of GC-MS is already here! Atmospheric Pressure Gas Chromatography (APGC) technology offers laboratories a powerful alternative to Electron Ionization (EI) technology, enabling low limits of detection and confident compound identification and confirmation, while reducing laboratory costs, from reduced GC system maintenance and the ability to use nitrogen as an alternative carrier gas.
Agenda
<ul>
<li>Understanding the next generation GC-MS/MS requirement</li>
<li>Top 5 benefits of Atmospheric Pressure Gas Chromatography Technology</li>
<li>Applications for Food &amp; Environmental Testing</li>
<li>Hear from our Experts!</li>
</ul>
<blockquote>
Presenter: Wim Broer (Development and Science, Nofalab)
</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: Next Generation GC-MS/MS for Food and Environment Application

Next Generation GC-MS/MS for Food and Environment Application

The next generation of GC-MS! Atmospheric Pressure Gas Chromatography (APGC) technology offers laboratories a powerful alternative to Electron Ionization (EI).

Next Generation GC-MS/MS for Food and Environment Apps

Reversed phase column chromatography is commonplace in quality assessment of drugs. This usually involves the use of aqueous buffers, acetonitrile and/ or methanol as a mobile phase and commonly used UV detection. But what happens when excipients and drugs don&#39;t contain a chromophore? These samples can&#39;t be identified and quantified by UV detection. Our answer is Charged Aerosol Detection (CAD), which is an excellent alternative and works as a universal detector for almost all non-volatile and many semi-volatile compounds.
Please join this webinar to hear about the work of our guest speaker, Ulrike Holzgrabe, from the department of Pharmaceutical and Medicinal Chemistry at University of Wuerzburg. In her presentation, she will share her experience of using charged aerosol detection as an alternative in the quality assessment of drugs.
CAD has the flexibility and performance for analytical R&amp;D, and the simplicity and reproducibility needed for manufacturing QA/QC and can be used for the analysis of pharmaceuticals in both large and small molecules. It is a reliable and an easy-to-use solution to quantify novel compounds without the need for compound specific calibration and is a key technology in our high throughput library purification platform.
Learn how CAD can be applied in your work with tips, tricks, pointers, and expert advice. 
Join our panel of experts for a roundtable and Q&amp;A discussion 
<ul>
<li>Ulrike Holzgrabe (Institut für Pharmazie und Lebensmittelchemie University of Wuerzburg)</li>
<li>Paul Gamache (Director - Research and Development, Thermo Fisher Scientific)</li>
<li>Frank Steiner (Senior Manager- Product Applications &amp; Scientific Advisor, Thermo Fisher Scientific)</li>
<li>Tibor Muellner (Senior Product Applications Specialist, Thermo Fisher Scientific)</li>
</ul>
We invite you to submit any questions you may wish to be discussed on this registration page.
<h5>Who should attend:</h5>
<ul>
<li>Laboratory managers and directors </li>
<li>Technology leaders </li>
<li>Principal scientists </li>
<li>Laboratory analyst</li>
</ul>

Thermo Scientific: No chromophore – no HPLC analysis?

No chromophore – no HPLC analysis?

Ulrike Holzgrabe will share her experience of using charged aerosol detection as an alternative in the quality assessment of drugs.

An ongoing challenge when dealing with chromatographic separation is the presence of compounds that exhibit non-specific binding. Such compounds can exhibit poor peak shape, carryover, low sensitivity and cause an increase in back pressure and system clogging.
In high-throughput screening of compounds in drug discovery, non-specific binding can result in poor assay sensitivity and reproducibility, prolonged data analysis and complicated method development. 
In this webinar, Fiona Liddicoat and Jack Corrigan from Cyprotex, a leading ADME-Tox service provider, demonstrate how ACQUITY Premier column and system using MaxPeak High Performance Surfaces (HPS) technology can address the challenge of non-specific binding for small molecules and peptides. The benefits of this new technology include increased sensitivity, improved peak shape and reduced carryover.
This webinar focuses on:
<ul>
<li>The application of MaxPeak HPS technology for enhanced chromatographic performance of pharmaceutical compounds in UPLC-MS</li>
<li>The comparison of chromatographic performances of traditional stainless steel UPLC technology and the ACQUITY Premier solution</li>
</ul>
Key learnings:
<ul>
<li>Learn how new chromatographic technology:
<ul>
<li>significantly reduces method development turnaround</li>
<li>allows rapid diagnosis of non-specific binding</li>
<li>eliminates passivation requirement</li>
<li>applies to ADME screening</li>
</ul>
</li>
<li>Discover the benefit of ACQUITY Premier column and system in:
<ul>
<li>eliminating non-specific binding</li>
<li>improving peak shape</li>
<li>increasing sensitivity</li>
<li>reducing carryover</li>
</ul>
</li>
<li>Increase your knowledge in pharmaceutical compounds screening with UPLC-MS
</li>
</ul>
<blockquote>
Presenter: Fiona Liddicoat (Associate Principal Scientist, Cyprotex)
</blockquote>
<blockquote>
Fiona is an Associate Principal Scientist at Cyprotex leading high throughput analytical method development. Fiona graduated from University of Strathclyde with an analytical chemistry master’s degree before gaining experience in the pharmaceutical drug discovery industry. Fiona went on to join Waters as an applications chemist specialising in pharmaceutical analysis before joining Cyprotex in 2021.
</blockquote>
<blockquote>
Presenter: Jack Corrigan (Associate Scientist, Cyprotex)
</blockquote>
<blockquote>
An enthusiastic Analytical Chemist, Jack holds a first class master&#39;s degree in Chemistry. He has gained significant experience in the upkeep and use of a wide range of UPLC-MS techniques in his 2 years as an Associate Scientist at Cyprotex. As someone who understands the value of cooperation, Jack has been involved previous collaborations with Waters producing both posters and presentations showcased at various events including the DMDG early careers conference.
</blockquote>

Waters Corporation: Speeding up method development - How Cyprotex have solved the analytical challenge of non-specific binding

Speeding up method development - How Cyprotex have solved the analytical challenge of non-specific binding

How ACQUITY Premier column and system using HPS technology can address the challenge of non-specific binding for small molecules and peptides.

How Cyprotex have solved the analytical challenge

Agilent&#39;s easy-to-use software allows for the quick setup of both requisite user restrictions and experimental methods in a 21 CFR compliant environment. New additions to the Cary 3500&#39;s software expand capability for data storage and method approval.
<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: Improved Testing in Pharma Products

21 CFR Compliance for the Cary 3500 UV-Vis Spectrometer through Openlab Enterprise Content Management (ECM)

ew additions to the Cary 3500's software expand capability for data storage and method approval.

21 CFR Compliance Cary 3500 UV-Vis Openlab ECM

Glycosylation analysis is an essential part of mAb characterization as they can affect immunogenicity, pharmacokinetics, and pharmacodynamics.
Sialic acid capping at the nonreducing terminal of N- or O-glycans can serve a key role in mediating the effectiveness of therapeutic glycoproteins
Associated challeges for such analyses are:
<ol>
<li>End to end approach System columns, reagents &amp; standards.</li>
<li>Senstivity, reproducibility &amp; accuracy </li>
<li>Sample throughput&quot;</li>
</ol>
<blockquote>
Presenter: Dr. Nithyakalyani SriRangan (Ph.D. Head of Syngene-CAPS (Center for Advanced Protein Studies) BIRAC funded facility, Syngene international Unlimited)
</blockquote>
<blockquote>
A recipient of the prestigious Marie Curie, has obtained a Ph.D in Pharmaceutical Biology from the University of Grefswald, Germany. Having core expertise in MS based protein characterization and collaboration experience with clients from UK, France and other Scandinavian countries.
</blockquote>

Agilent Technologies: Glycan & Sialic Acid Analysis - So Rapid & So Easy

Glycan & Sialic Acid Analysis - So Rapid & So Easy

Glycosylation analysis is an essential part of mAb characterization as they can affect immunogenicity, pharmacokinetics, and pharmacodynamics.

Size-based separation using size exclusion chromatography (SEC) is a standard technique used to analyse size variants and monitor the purity level of biotherapeutics. More complex molecules such as antibody drug conjugates, or ADCs, may be more challenging due to the presence of hydrophobic cytotoxic drugs that can result in nonideal behaviour with many size exclusion chromatography columns. With increasing challenges to address assessment of this key critical quality attributes, Agilent Workflow Solution for Aggregate Analysis makes sure that you achieve your scientific compliance and business goals.
In this webinar, we will discuss:
<ul>
<li>Column suggestions for separation and quantification of Aggregates and Fragments</li>
<li>Fast-SEC for high throughput analysis while maintaining good resolution</li>
<li>Eliminating secondary interactions</li>
<li>Enhancing column lifetime</li>
</ul>
<blockquote>
Presenter: Dr. Rajni Mujoo (Technical Support Specialist, Chemistries &amp; Supplies Division, Agilent Technologies)
</blockquote>
<blockquote>
Dr. Rajni is working with us as Technical Support Specialist in Chemistries and Supplies Division at Agilent Technologies since 2011. She has a Ph.D degree in Food Science from CFTRI, Mysore and Post Doctorate from Department Of Food Science, Michigan State University. She also has four International Presentations &amp; 13 publications in reputed National &amp; International journals to her credit. Rajni has a total work experience of 16 yrs spread across research and Sales building expertise in different Instrument techniques.
</blockquote>

Agilent Technologies: Analysis of Biotherapeutics using Size Exclusion Chromatography

Analysis of Biotherapeutics using Size Exclusion Chromatography

Size-based separation using SEC is a standard technique used to analyse size variants and monitor the purity level of biotherapeutics.

Biotherapeutics using Size Exclusion Chromatography

Mass spectrometry imaging (MSI) began its development in 1997 with the publication of “Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS” by Richard Caprioli et al. in Analytical Chemistry. Over the past 25 years, there have been numerous developments in terms of samples preparation, matrix application, and instrumentation that have enabled increases in figures of merit related to MSI.
Each improvement is accompanied by an increase in method complexity and price tag, while many users are seeking an entry-level instrument to perform simpler experiments that still produce spatially resolved mass data.
To this end, we have tested a benchtop Shimadzu MALDI-8020 capable of MALDI MSI and employed simpler sample preparation techniques.
As an introduction to MSI, we share the optimization of relevant parameters and matrices as well as the results of relevant imaging experiments.
<blockquote>
Presenter: Dr. Kevin Tucker (Associate Professor, Analytical Chemistry, Southern Illinois University Edwardsville)
</blockquote>
<blockquote>
Dr. Kevin Tucker received his Ph.D. in Analytical Chemistry from the University of Illinois at Urbana-Champaign in 2011. Dr. Tucker’s research lies at the nexus of food, energy, and water. We focus on the detection of pharmaceutical and personal care products within local and regional waterways and the surrounding soil systems including agricultural fields as well as modeling laboratory exposure using invertebrate organisms. Dr. Tucker focuses on method development in mass spectrometry to address each of these research directions.
</blockquote>
<blockquote>
Presenter: Nazim Boutaghou, Ph.D. (Life Science Product Manager, Shimadzu Scientific Instruments)
</blockquote>
<blockquote>
Nazim Boutaghou is the Life Science Product Manager at Shimadzu Scientific Instruments (SSI). He oversees SSI’s wide portfolio of MALDI instrumentation, including the newly released Benchtop Imaging Upgrade for the MALDI-80X0 instruments. Nazim Boutaghou graduated with a Master’s in Chemistry and a minor in Biology from the University of Bordeaux 1 (Bordeaux, France) later received a Master’s in Business Management from the Bordeaux Institute of Business Administration (IAE). He moved to the US in 2006 to further his knowledge in Analytical Chemistry and Mass Spectrometry, joining Dr. Richard Cole’s group at the University of New Orleans. He graduated with a Ph.D. in 2011 and joined Shimadzu in 2013 as an Applications Scientist specializing in MALDI-based analyses.
</blockquote>

Shimadzu: MALDI Mass Spectrometry Imaging for the Masses: An Introduction to MALDI MSI

MALDI Mass Spectrometry Imaging for the Masses: An Introduction to MALDI MSI

As an introduction to MSI, we share the optimization of relevant parameters and matrices as well as the results of relevant imaging experiments.

MALDI Mass Spectrometry Imaging for the Masses

We will present a case study for the implementation of a multi-column chromatography during the monoclonal antibody (mAb) capture step. We will have a detailed look at the process economics of mAb capture in different scales and processing scenarios.
<blockquote>
Presenter: Christian Rohrer (Director Sales and Marketing at Tosoh Bioscience GmbH) 
</blockquote>
<blockquote>
Presenter: Patrick Endres (Manager - Product Management EMEA at Tosoh Bioscience)
</blockquote>

Tosoh Bioscience: DSP Maximizing Yield and Productivity: A Deep Dive into Monoclonal Antibody Capture

DSP Maximizing Yield and Productivity: A Deep Dive into Monoclonal Antibody Capture

We will present a case study for the implementation of a multi-column chromatography during the monoclonal antibody (mAb) capture step.

DSP: A Deep Dive into Monoclonal Antibody Capture

Single cell proteomics is growing as an analytical tool, delivering in-depth information of molecular processes occurring at the cellular level. The release of the timsTOF SCP in June 2021 opened the gate to label-free analysis of single cells.
This approach removes the needs of labelling and their associated costs and bias. Removing this step is not sufficient to handle all the challenges associated with the extremely diluted sample preparation, handling and processing.
In this live from the lab, we will present and demonstrate the use of a complete SCP ecosystem allowing to address the sensitivity and robustness issues at all stages of the analytical process, starting from single cell sorting and digestion down to the data analysis, considering sample transfer, separation, dia-PASEF® acquisition and real-time data processing.

Bruker: Single cell proteomics, from sample preparation to results processing

Single cell proteomics, from sample preparation to results processing

We will demonstrate a complete SCP ecosystem and address different challenges associated with diluted sample preparation, handling, and processing.