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

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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

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Agilent Technologies

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Join us in this webinar to discuss on GPC method development for various large/polymer samples, including GPC principles, designing and execution of method development for various types of large/polymer samples.
In this webinar, we will discuss below applications:
<ul>
<li>Overview of GPC and respective Detectors use</li>
<li>Designing and Selection of mobile phase</li>
<li>Designing of various method parameters and conditions for good resolution, peak response and shape</li>
<li>Column selection criteria for better results</li>
<li>Overview of Agilent GPC columns</li>
</ul>
By attending this webinar you will learn: The systematic ways in designing GPC method development experiments and selection of key components, parameters and column based on the sample type and properties.
*Attend all 3 sessions and get a digital certificate from Agilent
<blockquote>
Presenter: Dr. Ramaprasad Ganni (Technical Support Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Ramaprasad Ganni has 21 years of experience in the field of Chromatography and Column chemistries. Working with Agilent technologies India, since 2008 in Chemistries and Supplies division. Previously Worked for Elsevier GmbH, and Millipore India Pvt, Ltd. Responsible for Workflow solutions development, providing technical support, and trainings. Experienced in Sample prep, HPLC, GC, Mass spec and GPC Chromatography technologies.
</blockquote>

Agilent Technologies: GPC Method Development : It’s not just about sample size in solution

GPC Method Development : It’s not just about sample size in solution

GPC method development experiments and selection of key components, parameters and column based on the sample type and properties.

GPC Method Development : It’s not just about sample size

Join us in this webinar to discuss on basics of GPC technology and respective details of instruments, separations, and parameters in GPC analysis. Along with respective principles and uses for various types of large/polymer samples.
In this webinar, we will discuss:
<ul>
<li>Introduction to GPC</li>
<li>Need of fast GPC and its advantages</li>
<li>Considerations for fast GPC analysis and optimization options</li>
<li>Optimization of various method parameters for good resolution, peak shape and response</li>
<li>Column selection criteria for better results with relevant applications</li>
<li>Agilent columns options for fast GPC analysis</li>
</ul>
By attending this webinar you will learn: How to systematically convert traditional GPC methods to fast GPC, optimize your method parameters for fast GPC analysis and increase lab productivity with proper column selection.
*Attend all 3 sessions and get a digital certificate from Agilent
<blockquote>
Presenter: Dr. Ramaprasad Ganni (Technical Support Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Ramaprasad Ganni has 21 years of experience in the field of Chromatography and Column chemistries. Working with Agilent technologies India, since 2008 in Chemistries and Supplies division. Previously Worked for Elsevier GmbH, and Millipore India Pvt, Ltd. Responsible for Workflow solutions development, providing technical support, and trainings. Experienced in Sample prep, HPLC, GC, Mass spec and GPC Chromatography technologies.
</blockquote>

Agilent Technologies: Pace Up with Fast GPC Analysis

Pace Up with Fast GPC Analysis

How to convert traditional GPC methods to fast GPC, optimize method parameters for fast GPC and increase lab productivity with proper column selection.

Free webinar. We will show you how to work with sequences in Clarity Chromatography Software and answer your questions.
We all know the importance of getting work done quickly and efficiently, but sometimes we struggle.
If you&#39;re a user of Clarity Chromatography Software, we&#39;ve got some great news for you!
Our upcoming FREE WEBINAR will show you how to use sequences smartly. We&#39;ll cover everything from setting up sequences to optimizing them for maximum efficiency.
This is a great opportunity to learn about the software&#39;s advanced capabilities and gain valuable insights into how you can improve your workflows.
Don&#39;t miss this chance to improve your skills and knowledge of Clarity Chromatography Software.

DataApex: Ask the Expert: Effective work with sequences in Clarity

Ask the Expert: Effective work with sequences in Clarity

Free webinar. We will show you how to work with sequences in Clarity Chromatography Software and answer your questions.

Join this webinar to learn how to simplify, speed-up, and standardize your proteomics sample preparation for LC-MS.
The PreOmics team will introduce the PreOmics easy-to-use iST technology. This fast 3-step workflow is designed to be a great support for both those new to proteomics and experts alike. The all-in-one iST kits are compatible with a variety of starting materials, including mammalian and plant samples, different types of tissue and cells, as well as various biological fluids in label-free and chemical labelling applications.The protocols promise an incredibly fast processing time (&lt;2.5 hours) and are easily applicable without compromising sample quality or proteomic depth. Furthermore, iST can be fully automated to further increase standardization, reproducibility, and throughput.
The speakers will also introduce PreON, a fully automated sample preparation platform, as well as different levels of automation for established liquid handling platforms. The varying applications for the iST technology ranging from global proteomics to pre-clinical studies will also be discussed.
<h5>Key learning objectives</h5>
<ul>
<li>Discover best practices for proteomics sample preparation with solutions for new users and proteomics experts alike</li>
<li>Learn more about fast, easy, and reliable sample preparation protocols for LC-MS-based proteomics</li>
<li>Explore automation, standardization, and upscaling of proteomics sample preparation</li>
<li>Learn more about the applications of iST sample preparation kits and solutions in global proteomics as well as pre-clinical research</li>
</ul>
<h5>Who should attend?</h5>
<ul>
<li>Users working with proteomics sample preparation for LC-MS:</li>
<li>Researchers, scientists, principal investigators, group leaders and department heads, lab assistants from biotech/pharma industry, CROs, university hospitals as well as academia</li>
<li>Biomedical and clinical scientists in translational and pre-clinical research</li>
<li>Application scientists and technical support</li>
<li>Distributors of sample preparation systems for LC-MS</li>
<li>Scientists looking for a straightforward approach to start with proteomics</li>
</ul>
<blockquote>
Presenter: Dr. Ingrid Albrecht-Walz (PreOmics GmbH)
</blockquote>
<blockquote>
Dr. Ingrid Albrecht-Walz joined PreOmics in 2022 as Product Manager for Kits &amp; Reagents. She received her Ph.D. in Biology from the University of Munich, Germany, working on the interaction of different viruses. For the past 10 years, Dr. Albrecht-Walz has worked in the field of in vitro diagnostics of infectious diseases. Since proteomics is a highly promising tool for preclinical and diagnostic applications, Dr. Albrecht-Walz decided in 2022 to follow this opportunity at PreOmics.
</blockquote>
<blockquote>
Presenter: Dr. Vincenzo Romaniello (PreOmics GmbH)
</blockquote>
<blockquote>
Dr. Vincenzo Romaniello joined PreOmics in 2021 as Product Manager for Automation Systems. He received his Ph.D. in molecular physiology from the University of Göttingen, Germany. During the past 5 years, Dr. Romaniello has worked in both technical and application support roles for automated sample preparation workflows with major biotech and human diagnostics scientific suppliers. As a result, he has experience in PreOmics automation solutions, and Tecan and Eppendorf systems.
</blockquote>
<blockquote>
Presenter: Dr. Zuzana Demianova (PreOmics GmbH)
</blockquote>
<blockquote>
Dr. Demianova joined PreOmics in 2021 as a Market Development Manager BioPharma and scientific advisor. Assessing proceedings and challenges in the pharma and biopharma field Dr. Demianova introduces PreOmics’ solutions in customer workflows to enable scientific discovery. She thereby partakes also in the development and market introduction of new products as well as optimization and application of established solutions. Prior to PreOmics, Dr. Demianova was application support specialist at Sciex, concentrating on customer support and training. Later on, she was promoted to a global leader in proteomics, which finally led up to her new role as a biopharma application scientist with a focus on “-omics” and biopharma applications using CE and LC-MS technologies.
</blockquote>
<blockquote>
Presenter: Blake Forman (SelectScience)
</blockquote>
<blockquote>
Blake studied chemistry at the University of Surrey, UK, and further went on to study a master’s in chemistry at the University of Southampton, UK. Blake has previously worked in the Medicines and Healthcare Products Regulatory Agency (MHRA) lab at LGC and as a technical sales specialist for Waters. As a member of the Editorial team, he now plays an integral role in shaping the content on SelectScience.
</blockquote>

SelectScience: Next generation solutions for proteomics sample preparation

Next generation solutions for proteomics sample preparation

Join this webinar to learn how to simplify, speed-up, and standardize your proteomics sample preparation for LC-MS.

Titration, as we know it, is almost 200 years old, but has only gained in importance since. To this day, it is a critical technique used to ensure the quality and safety of many products we consume daily. While not a complicated technique, there are some subtleties that can help ensure your titration results are accurate. Simple electrode care and optimization of basic titration parameters can take the guesswork out of your analysis and help you obtain results you can trust.
During this webinar, Eduardo Simões, Product Specialist for Titration at Metrohm USA, will share best practices for accurate titrations and tips that he’s picked up in his 20 years of performing titrations. Dr. Kerri-Ann Blake, Product Manager for Titration at Metrohm USA, will discuss how updated titration software can improve traceability and alert you to results that do not meet quality standards. The live event will conclude with a Q&amp;A, where you’ll get the chance to ask about your specific titrations. 
<blockquote>
Presenter: Eduardo Simões (Titration Product Specialist, Metrohm USA)
</blockquote>
<blockquote>
Eduardo Simões, MSc is the Titration Product Specialist at Metrohm USA in Riverview, Florida. He received his bachelor and masters in analytical chemistry at the University of Campinas, Brazil. He joined Metrohm Brazil as an application specialist in 2003. Over the last 20 years with Metrohm, he specialized in potentiometry and electroanalysis, gaining extensive field experience in applications and instrument installations, technical support and training. Before moving to the US, Eduardo managed the application lab at Metrohm Brazil where he extended his knowledge to other analytical techniques. In addition, Eduardo has experience developing and implementing ISO methods.
</blockquote>
<blockquote>
Presenter: Kerri-Ann Blake (Titration Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Dr. Kerri-Ann Blake is the Titration Product Manager at Metrohm USA in Riverview, Florida. She earned her PhD in Materials Science and Engineering at the University of Florida where she was a researcher at the Particle Engineering Research Center. In her years with Metrohm USA, she has performed proof of concept studies, internal and external trainings and provided applications support. Kerri-Ann plays a key role in product support and product marketing and also has experience developing and implementing ASTM methods.
</blockquote>

Metrohm: Don’t Miss the Endpoint – Titrate It Right the First Time!

Don’t Miss the Endpoint – Titrate It Right the First Time!

We will share best practices for accurate titrations and tips that he’s picked up in his 20 years of performing titrations.

Dear user and other PaSER interested customers,
You are hereby invited to our 2nd Virtual PaSER Workshop. A lot of new possibilities has been introduced since last time – including, but not limited to PaSER Novor for de novo sequencing of dda-PASEF® data on the PaSER Box as well as TIMS DIA-NN 2.0 -which will be demonstrated during this Workshop. Data virtualization has been a requested feature – and this is now possible with Mass Dynamics for PaSER. Not limited to above – stay tuned for even more approaching features, we will discuss as well.
<h3>The tentative agenda looks like this:</h3>
<h5>1:00 – 1:15 pm: Introduction</h5>
<ul>
<li>Willy Bjørklund</li>
</ul>
<h5>1:15 – 1: 35pm: New Applications on the timsTOF Platform</h5>
<ul>
<li>Lars Kristensen (Field Application Specialist)</li>
</ul>
<h5>1:35 – 1:55 pm: PaSER as a bioinformatic platform - what’s new and what’s coming</h5>
<ul>
<li>Jonathan Krieger (Software R&amp;D Department)</li>
</ul>
<h5>5 minute break</h5>
<h5>2:00 – 2:20 pm: Live Demo/workshop of PaSER</h5>
<ul>
<li>Tharan Srikumar (Software R&amp;D Department)</li>
</ul>
<h5>2:20 – 2:50 pm: Mass Dynamics</h5>
<ul>
<li>Mark Condina and Giuseppe Infusini</li>
</ul>
<h5>2:50 – 3:10 pm: Questions and discussions</h5>
<h5>3:10 – 3:15 pm: Conclusion</h5>
<ul>
<li>Willy Bjørklund</li>
</ul>
We aim for a lively interaction so take the timing as an indication. Please feel free to share with colleagues or others you think could benefit from attending this workshop. Looking forward to “meet”

Bruker Virtual PaSER Workshop

Dear user and other PaSER interested customers, You are hereby invited to our 2nd Virtual PaSER Workshop. 

This webinar will focus on untargeted LC/MS Omics solutions that will provide the biological insights needed to produce meaningful results. An emphasis will be spent on an End-to-End HILIC metabolomics workflow for our LC/Q-TOF platform.
This includes automate sample preparation for cells and plasma, a Bio LC that is fit for purpose for metal sensitive analysis, robust and transferable HILIC chromatography, the 6546 LC/Q-TOF data independent analysis of samples, with an ID workflow that includes a new HILIC PCDL with 500 core metabolism analytes with spectra and retention time annotation.
For unknowns not found in Agilent PCDLs, SIRIUS/CSI:FingerID which uses AI predict structure from spectra and conducts online identification search will be demonstrated. A complementary targeted multi-omics workflow will be briefly mentioned before sharing the new Ion Mobility and ExD technologies for high end LC/MS Omics investigations.
<blockquote>
Presenter: Karen E. Yannell (Omics Workflow Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Karen E. Yannell is an Omics Workflow Specialist at Agilent Technologies. She is an expert in small molecule high throughput analysis by triple quadrupole (TQ) and quadrupole time-of-flight (Q-TOF) mass spectrometry for applied markets. Her recent work has focused on developing targeted metabolomics methods and routine Q-TOF workflows for both expert and non-expert users alike. Previously, Karen worked on forensic, metabolomics, and biomarker discovery applications with ambient ionization sources. She received her PhD in Analytical Chemistry from Purdue University where studied under the advisement of Prof. R. Graham Cooks. 
</blockquote>
<blockquote>
Presenter: Dr. Martin Graf-Utzmann (Editor, Wiley Analytical Science, Moderator)
</blockquote>
<blockquote>
Dr. Martin Graf-Utzmann has a Ph.D. in Theoretical Chemistry and is an editor for Wiley Analytical Science. His interests are mainly Laboratory Automation, Digitalization, and Lab Equipment.
</blockquote>

Wiley Analytical Science: Jump Start Your LC/Q-TOF Omics Investigation with Reliable Workflows

Jump Start Your LC/Q-TOF Omics Investigation with Reliable Workflows

This webinar will focus on untargeted LC/MS Omics solutions that will provide the biological insights needed to produce meaningful results.

Your LC/Q-TOF Omics Investigation with Reliable Workflows

This year we invite you to ignite your mind to Be Curious about what Ion chromatography (IC) can do with its versatility in many detections across the IC application spectrum to improve your workflows and solve challenges.
During this three day virtual event, learn from a panel of experts how the latest IC applications are helping colleagues achieve breakthroughs, and walk away with valuable information on how advancements in IC can increase laboratory analytical capabilities. 
Although each day is convenient for a specific region, you can attend any session on any day. All sessions and workshops will be available for on-demand viewing after the event concludes.
<h3>Day 2 Agenda | April 19 | Europe and Africa</h3>
Untap the versatility of ion chromatography with challenging analytes such as chlorate, sulfite, cationic polar pesticides, and glycoprotein sialic acid in tricky matrices while optimizing your workflow.
<h5>9:00 AM CET: Opening Plenary: Untapped Potential in Ion Chromatography for Resolving Analytical Challenges</h5>
<ul>
<li>Detlef Jensen (Thermo Fisher Scientific, IC Expert)</li>
</ul>
<h5>11:00 AM CET: Determination of Chlorate in Agar Samples Using Ion Chromatography</h5>
<ul>
<li>Flavio Zanetti (Biopolife Srl, Trieste, Italy)</li>
</ul>
<h5>12:00 PM CET: Determination of Sulphur Dioxide in Foods by Ion Chromatography</h5>
<ul>
<li>Noel Finn (Public Analyst Laboratory, St. Finbarr’s Hospital, Douglas Road, Cork)</li>
</ul>
<h5>1:00 PM CET: 30 min Lunch</h5>
<h5>1:30 PM CET: Analysis of Polar Cationic Pesticides by IC-MS</h5>
<ul>
<li>Anatte Margalit (DAFM)</li>
</ul>
<h5>2:30 PM CET: Determination of Glycoprotein Sialic Acid Composition Using HPAE-PAD in Dual Eluent Generation Cartridge Mode</h5>
<ul>
<li>Jingli Hu (Thermo Fisher Scientific, IC/SP Applications, Sunnyvale)</li>
</ul>
<h5>3:30 PM CET: Optimizing Your IC Workflow Using Chromeleon CDS</h5>
<ul>
<li>Dan Talbot (Thermo Fisher Scientific, IC/SP Senior, Application Sales Support, UK &amp; Ireland)</li>
</ul>

Thermo Fisher Scientific: IC Symposium 2023

IC Symposium 2023 - Day 2

Join us for the 2023 Global IC Symposium! Europe and Africa

This year we invite you to ignite your mind to Be Curious about what Ion chromatography (IC) can do with its versatility in many detections across the IC application spectrum to improve your workflows and solve challenges.
During this three day virtual event, learn from a panel of experts how the latest IC applications are helping colleagues achieve breakthroughs, and walk away with valuable information on how advancements in IC can increase laboratory analytical capabilities. 
Although each day is convenient for a specific region, you can attend any session on any day. All sessions and workshops will be available for on-demand viewing after the event concludes.
<h3>Day 3 Agenda | April 20 | Asia Pacific</h3>
Expand the world of electrochemistry applications and IC hyphenation with high-resolution mass spectrometry and understand how Inductively Coupled Plasma Spectrometry can speciate isotopes while simplifying Pharmacopeia QC analysis and keeping your IC in top-notch condition.
<h5>11:00 AM SGT: Opening Plenary: Electrochemical Detection and Its Application in Ion Chromatography</h5>
<ul>
<li>Yan Liu (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
</ul>
<h5>12:00 PM SGT: Application of Anion Chromatography Coupled High-Resolution Mass Spectrometry to Increase Cellular Metabolite Coverage</h5>
<ul>
<li>Vinzenz Hofferek (McConville Lab, Department of Biochemistry and Pharmacology)</li>
</ul>
<h5>1:00 PM SGT: Analysis of Anhydrosugars and Xylooligosaccharides by Ion Chromatography with Electrospray Lithium Cationisation-Triple Quadrupole Tandem Mass Spectrometry</h5>
<ul>
<li>Dr. Estrella Sanz Rodriguez (Natural Products Analysis, Australian Centre for Research on Separation Science (ACROSS), University of Tasmania)</li>
</ul>
<h5>2:00 PM SGT: You Gotta Keep ‘Em Separated: Novel IC Applications for Subsequent Isotopic Analyses by Rapid and/or Hyphenated Techniques</h5>
<ul>
<li>Dr. Brandon Mahan (College of Science and Engineering, James Cook University)</li>
<li>Grace Manestar (IsoTropics PhD Candidate)</li>
</ul>
<h5>3:00 PM SGT: Use of Ion Chromatography in Pharmaceutical Quality Control</h5>
<ul>
<li>Catherine Frankis and Stella Planou (Reading Scientific Services Ltd., Reading Science Centre, Whiteknights Campus)</li>
</ul>
<h5>4:00 PM SGT: Tips on Keeping Your Ion Chromatography in Top-Notch Condition</h5>
<ul>
<li>Ryan Ong (Thermo Fisher Scientific, IC/SP Application Sales Support, Singapore)</li>
</ul>

IC Symposium 2023 - Day 3

Join us for the 2023 Global IC Symposium! Day 3 | Asia Pacific.

The solubility of orally administered drugs is highly influenced by the composition of the intestinal fluids, the presence of fatty acids and cholesterol, and the pH. All these factors can be affected by the individual’s diet (food effect). Typical biorelevant studies, however, fail to capture food effects as the experiments are commonly performed on fixed simulated intestinal fluid (SIF) compositions. Consequently, accurate prediction of the food effect observed in clinical studies is hindered due to lack of reliable data for the model.Here, we propose a high-throughput automated workflow for the study of API solubility in complex, ad hoc biorelevant media, and the implementation of the data obtained in vitro into a Physiologically Based Biopharmaceutic Model (PBBM) used to predict the food effect on a BCS IV zwitterionic drug. The automated workflow led to considerable time and material savings, while the model accurately predicted the results of the food effect.Key Learning Objectives:<ul><li>Determination of food effect, through use of complex biorelevant media, to describe and predict clinical data</li><li>Automated preparation of ad hoc complex biorelevant media</li><li>Automated in vitro biorelevant solubility screen of an API</li><li>Integration of in vitro solubility and permeability into a Physiologically</li><li>Based Biopharmaceutic Model (PBBM)</li></ul>Who Should Attend:<ul><li>Scientist, Sr. Scientist, Development Chemist, Formulation Chemist, Process Chemist, (Directors of preceding), Research Fellow, Professor</li><li>Product Development Scientists, Biochemist</li></ul><blockquote>Presenter:&nbsp;Paola Ferrini (Investigator, High-Throughput Automation Team, GSK)Presenter: Konstantinos Stamatopoulos (Biopharmaceutics Investigator, GSK)Presenter: Catherine Dold (Health &amp; Environment Writer, C&amp;EN Media Group)</blockquote>

C&EN: Automated In Vitro Sample Preparation for PBBM to Predict Food Effect on Oral Drugs

Automated In Vitro Sample Preparation for PBBM to Predict Food Effect on Oral Drugs

We propose a high-throughput automated workflow for the study of API solubility in complex, ad hoc biorelevant media.