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

Separation Science

Metrohm

The Analytical Scientist

Agilent Technologies

Technology Networks

Bruker

Waters Corporation

Industrial-scale production of mRNA has taken on renewed importance due to the on-going pandemic. Efficient translation of mRNA to protein depends critically on: (i) 5’-terminal capping, and (ii) 3’ terminal polyadenylation, which can be considered critical quality attributes that must be characterized and monitored.
<h5>This presentation will show that:</h5>
<ul>
<li>mRNA capping can be analyzed by LC-MS within 75 minutes by taking advantage of a thermostable enzyme to rapidly liberate 5’ terminal oligonucleotides.</li>
<li>Certain enzymes commonly used during in vitro transcription can incorporate non-templated nucleotides into both 5’ and 3’ terminal regions.</li>
<li>Non-templated nucleotides can be considered product-related impurities and can be detected and quantified by LC-MS.</li>
</ul>
<h5>Three learning objectives:</h5>
<ul>
<li>LC-MS is a robust, sensitive and specific technology for quality control of mRNA.</li>
<li>Workflows for analysis of mRNA 5’ capping and poly-A tailing</li>
<li>Detection and characterization of product-related impurities stemming from incorporation of non-templated nucleotides</li>
</ul>
<blockquote>
Presenter: Brian Liau, PhD (Solution Development Scientist, Singapore, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Brian Liau obtained his bachelor’s degree at Johns Hopkins University and his PhD at Duke University. Currently based at Agilent’s Global Solution Development Center in Singapore, he develops new LC-MS and spectroscopic techniques to ensure the quality and safety of next-generation therapies such as AAV vectors and mRNA vaccines. Prior to joining Agilent, he was a research fellow at the Bioprocessing Technology Institute (A*STAR).
</blockquote>

Agilent Technologies: Rapid Analysis of mRNA 5’ Capping and Poly-A Tailing with High-Resolution LC-MS

Rapid Analysis of mRNA 5’ Capping and Poly-A Tailing with High-Resolution LC-MS

LC-MS is a robust, sensitive and specific technology for quality control of mRNA. Workflows for mRNA 5’ capping and poly-A tailing. Product-related impurities.

mRNA 5’ Capping and Poly-A Tailing by High-Resolution LC-MS

Join us at this live lab and learn more about MRMS-based detection of inherited metabolic diseases.
Inherited metabolic diseases (IMDs) are single-gene disorders that are rare but carry substantial potential for detriment to the health and quality of life of affected patients, especially if undiagnosed and untreated. Consequently, newborn screening efforts aim to identify IMDs early in life, allowing medical and/or nutritional intervention during critical developmental years and onward throughout life. 
Here we show screening urine of children for phenylketonuria (PKU) to exemplify the utility of magnetic resonance mass spectrometry (MRMS) in the rapid detection and monitoring IMDs based diseases. MRMS aXelerate® workflow provides an LC-free solution capable of rapid screening of complex biofluids. Using Bruker’s MetaboScape software, measured signals are assigned by accurate molecular formulae and metabolites from databases using accurate mass, isotopic fine structure (IFS), and true isotopic pattern.
The workflow allows the simultaneous detection of both polar and non-polar metabolites, without the need for developing and deploying multiple orthogonal LC-MS methods within a 2.5 minute cycle time for high throughput screening. MRMS aXelerate® can be used for high throughput screening, disease detection, and complex metabolic fingerprinting applications for instance in clinical research environments.

Bruker: MRMS-based detection of inherited metabolic diseases using the aXelerate® workflow

MRMS-based detection of inherited metabolic diseases using the aXelerate® workflow

Join us at this live lab and learn more about MRMS-based detection of inherited metabolic diseases.

MRMS-based det. of inherited metabolic diseases (aXelerate)

This forum, hosted by The Analytical Scientist and featuring speakers from Peak Scientific, Shimadzu and Agilent, and more, will explore the latest LC-MS trends and innovations. Register to discover how recent advances in LC-MS are making waves across a broad range of exciting application areas.
At the end of the event, we’ll be hosting a live question-and-answer session with all of the speakers so you can dive a little deeper into any of the topics covered during the forum discussion. 
Join us today – register to make sure you claim your spot for the LC-MS Forum!
<blockquote>
Presenter: Gregor Thompson (Product Manager, PEAK Scientific)
</blockquote>
<blockquote>
Gregor Thompson joined PEAK Scientific in October 2021 as a Product Manager and has been leading on product improvements and new product development of nitrogen generators designed for LC/MS.
</blockquote>
<blockquote>
He has a varied portfolio of products and works closely with the major instrument manufacturers worldwide to ensure all new developments are optimised for LC/MS.
</blockquote>
<blockquote>
Presenter: Hannah Florance, PhD (LC/MS Application Specialist, Agilent)
</blockquote>
<blockquote>
In 2006, Hannah gained her PhD at the University of Edinburgh in non-covalent protein interactions in solution and the gas phase under the tutelage of Prof. Perdita Barran.
</blockquote>
<blockquote>
Hannah is currently an LC/MS applications specialist for Agilent, based in Cheadle, UK and has had multiple roles in the life sciences research, starting as a protein chemist, before moving into the proteomics and metabolomics fields.
</blockquote>
<blockquote>
Presenter: Stéphane Moreau (Product Manager , Shimadzu)
</blockquote>
<blockquote>
Stephane Moreau obtained his diploma in 1994 at INSA (National Institute of Applied Sciences) in Rouen, France, in fine chemistry and engineering specializing in chemical process engineering.
</blockquote>
<blockquote>
He then started his professional career in laboratory equipment distribution before he joined the brand-new Shimadzu France subsidiary in 2002. Since then, he has held many positions inside Shimadzu group to develop the MS range business. Since September 2013, he has been product manager for the MS range with Shimadzu Europe.
</blockquote>

LC/MS Forum

Featuring speakers from Peak Scientific, Shimadzu and Agilent, and more, will explore the latest LC-MS trends and innovations. 

Traditional analytical workflows often involve sample preparation techniques requiring the use of large volumes of raw samples and organic solvents. The goal is to drive up recovery and sensitivity as it pertains to obtaining low levels of analyte detection.
Modern SPE technology has emerged to minimize sample and solvent consumption, while providing analytical sensitivity that is comparable to traditional workflows. The Biotage® MIKRO plate incorporates a common 96-well plate format for high throughput analysis and a robust, loosely packed 2 mg polymeric sorbent for the extraction of a variety of analytes.
Presented here is a brief overview of common but essential workflows in a microelution format, fully automated on the Biotage® Extrahera LV-200 sample preparation instrument. Workflows are simple, cost effective, and include discussions of drugs of abuse, steroids, catecholamines, and metanephrines.
<h5>Attendees will:</h5>
<ul>
<li>learn the unique differences between microelution and conventional SPE</li>
<li>better understand the application benefits of Mikro SPE</li>
<li>learn how to troubleshoot to improve analyte recovery</li>
<li>gain a direct comparison of the performance of traditional SPE workflow vs Mikro SPE automated workflow</li>
</ul>
<blockquote>
Presenter: Amber Cain (Application Scientist, Biotage)
</blockquote>
<blockquote>
Amber has 10 years of experience, largely involved in contract research organization work from bioanalytical pharmaceutical testing and metabolomics. She has extensive experience with SPE and other sample preparation techniques as well as LC-MS/MS.
</blockquote>

SeparationScience: The Might of MIKRO: Rethinking Routine Analytical Workflows through Volume Reduction and Solvent Consumption

The Might of MIKRO: Rethinking Routine Analytical Workflows through Volume Reduction and Solvent Consumption

An overview of common but essential workflows in a microelution format, fully automated on the Biotage® Extrahera LV-200 sample preparation instrument.

Analytical Workf. - Volume Reduction and Solvent Consumption

The field of mass spectrometry has advanced tremendously over the last decade on both the hardware as well as the software side. Nevertheless, we still do not use the full capacity of the acquired proteomic data and several layers of information get lost in typical label-free quantification data-dependent acquisition proteomic datasets. A major source of this information loss is the presence of chimeric spectra, which contain fragment ions from multiple peptides, and the inability to fully interpret them.
In this webinar, we explore how the CHIMERYS intelligent search algorithm gives us a handle to elucidate the hidden traces within chimeric spectra. We’ll also discuss how CHIMERYS increases instrument efficiency and protein identification rates through deconvolution of chimeric spectra, enabling new data acquisition strategies with wide-window acquisition.
<h5>Attend this webinar to:</h5>
<ul>
<li>Learn how to interpret proteomics data from mass spectrometers more fully</li>
<li>Understand how CHIMERYS elucidates chimeric spectra</li>
<li>Deploy new wide-window acquisition methods to increase instrument efficiency for proteomics</li>
</ul>
<blockquote>
Presenter: Dr. Johanna Tüshaus (Postdoctoral Researcher, Technical University Munich)
</blockquote>

Technology Networks: Hidden Traces – Using Chimeric Spectra To Boost Protein Identification Rates

Hidden Traces – Using Chimeric Spectra To Boost Protein Identification Rates

In this webinar, we explore how the CHIMERYS intelligent search algorithm gives us a handle to elucidate the hidden traces within chimeric spectra.

Using Chimeric Spectra To Boost Protein Identification Rates

Having comprehensive documentation of chemical analyses is crucial for any pharma QC laboratory. Capturing the entire analytical process – from sample preparation to crucial system components such as sensors and even the chemicals used for the analysis – requires the right data management solution. These solutions should also provide all the features needed for secure and efficient data management in networked processes within large, integrated organizations.
In this upcoming webinar, we will discuss the latest advances in data management solutions for the pharmaceutical QC laboratory.
<h5>Register now and join the discussion to learn:</h5>
<ul>
<li>How digitalization facilitates the integration of all relevant data – for seamless compliance and superior data integrity according to the ALCOA+ principles</li>
<li>How to create secure workflows and manage them efficiently within your organization</li>
<li>About the power of the One Click Audit Trail, integration of smart chemicals, and the next level of compliance and data integrity</li>
</ul>
<blockquote>
Presenter: Simon Böhm, PhD (Product Manager Software, Metrohm International Headquarters)
</blockquote>
<blockquote>
Simon Böhm is Product Manager of the OMNIS Software platform at the Competence Centre Software/Workflow/Platforms at Metrohm International Headquarters in Herisau, Switzerland. Simon started working for Metrohm in 2017, when he joined Metrohm Germany. In 2020 he moved on to join Metrohm International Headquarters. Simon studied chemistry at the University of Constance and earned his PhD from the ETH Zurich in physical chemistry.
</blockquote>

Metrohm: Facing Pharma Lab Audits with Confidence

Facing Pharma Lab Audits with Confidence

In this upcoming webinar, we will discuss the latest advances in data management solutions for the pharmaceutical QC laboratory.

How do you know if your peak is “pure”? How do you know if your sample conforms to your gold standard? OpenLab CDS provides the tools to answer these questions. This seminar will show you how.
<blockquote>
Presenter: Richard Mutkoski (Laboratory Informatics Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Richard Mutkoski has been a field representative for over 27 years for both hardware and software. In his current role as an Informatics Application Engineer, Rich presents technical solutions of the OpenLab suite of products to customers worldwide. Prior to his tenure at Agilent Rich spent 15 years in a variety of Pharma QA/QC and R&amp;D positions providing him a unique understanding of those workflows, bottlenecks and challenges.
</blockquote>

Agilent Technologies: Save Time Using the New Integration Optimizer in OpenLab CDS

Save Time Using the New Integration Optimizer in OpenLab CDS

How do you know if your peak is “pure”? How do you know if your sample conforms to your gold standard?

AQbD or Analytical Quality by Design is an approach to analytical method development that “starts with the end in mind”.
Regulators welcome this science and risk-based approach as described in several guidelines from ICH, USP, and BP. Using the preferred language of regulators when filling applications for both small and large molecules, synthetic or biological drugs can significantly reduce the time-to-market.
Learn about general concepts and approaches to AQbD that are outlined in the upcoming ICH Q14 and USP &lt;1220&gt; chapters and how industry leaders and Waters are tackling these exciting workflows guaranteed to reduce risk and produce robust methods across your organization. 
Join us on Tuesday, November 29 and hear from experts in the Pharma arena to receive an update on the guidance, and the impact for the industry, an example for the phase-appropriate implementation of AQbD method development and a how to mitigate risk using the MaxPeak High Performance Surface. 
Followed by a live panel discussion with all the speakers. So have your questions ready!
<h3>Confirmed Speakers on 29 Nov:</h3>
<h4>Analytical Procedure Development &amp; Validation – ICH Q14, ICH Q2 (R2) &amp; USP &lt;1220&gt;</h4>
 
<blockquote>
Presenter: Phil Borman (Director and Senior Fellow, GSK)
</blockquote>
<blockquote>
Phil Bormanis a fellow of the Royal Society of Chemistry with over 26 years of experience in the pharmaceutical industry having obtained a Masters in Chemistry from Manchester University, a Masters in Applied Statistics from De Montfort (Leicester) University and a Doctorate in Sciences for his work in pioneering and developing QbD approaches for analytical procedures (also from De Montfort University).
</blockquote>
<blockquote>
Phil is currently a Director and Senior Fellow at GlaxoSmithKline where he is accountable for the ongoing development and implementation of Quality by Design. Phil pioneered the adaptation of QbD principles to Analytical procedures and has published widely in the field of Analytical Chemistry. He currently co-leads the EFPIA ICH Q2(R2)/Q14 support team as well as being vice-chair of the USP Measurement and Data Quality Expert Committee and member of the BP (MHRA) Analytical Quality by Design Working party.
</blockquote>
<h4>Development of analytical methods based on the aQbD principles to support pharmaceutical development, commercialization and supply</h4>
<blockquote>
Presenter: Jinjian Zheng (Sr. Principal Scientist, Merck)
</blockquote>
<blockquote>
Dr. Jinjian Zheng earned his Ph.D. degree from The University of Tokyo in 1999, and joined Ames-Laboratory, Iowa State University as a postdoc in 2000. He joined Schering-Plough/ Merck in 2003, and is currently a Sr. Principal Scientist at Analytical Chemistry in Development and Supply – Analytical Commercialization Technology.
</blockquote>
<blockquote>
During his tenure at Merck, Jinjian has served on different roles within Merck across development, commercialization and supply areas. He has established himself as a chromatography SME, and has been promoting aQbD method development at Merck using advanced tools such as chromatography simulation and DOE experimentation.
</blockquote>
<blockquote>
Jinjian has published 20+ articles in peer reviewed journals, and has given numerous presentations on aQbD method development. He is currently leading the analytical development efforts at Merck to support nitrosamine risk assessment and testing.
</blockquote>
<h4>Mitigating Risks Associated with Undesired Analyte-Metal Interactions</h4>
<blockquote>
Presenter: Pankaj Aggarwal (Associate Principal Scientist, Merck)
</blockquote>
<blockquote>
Pankaj has a PhD in analytical chemistry with over 7+ years of pharmaceutical industry supporting API and DP development across different modalities. Currently, He is working as Associate Principal Scientist at Merck and a scientific supervisor implementing predictive and digital solution for workflow optimization leading to operation excellence and accelerated drug development. Pankaj is passionate about lab automation/digital data analytics and helping teams applying in-silico tools to fundamentally understand LC method performance.
</blockquote>
<h4>Moderator for the Event Day 1</h4>
<blockquote>
Presenter: Fadi Alkhateeb (Senior Scientist, Waters Corporation)
</blockquote>
<blockquote>
Dr. Fadi Alkhateeb is a Senior Scientist in the Scientific Operations Department at Waters Corporation HeadQuarters in Milford, MA USA. He joined Waters in 2017 and since then he has been mainly focusing on exploring various approaches for analytical method development for pharmaceutical drugs. Prior to joining Waters, he was a postdoctoral fellow at the University of Calgary (Calgary, AB, Canada), where he did research at Alberta Sulphur Research, one of North America&#39;s leading Sulphur research institutes.
</blockquote>
<blockquote>
He received his PhD from the University of Calgary, focusing on the development of novel, rapid separation and sample preparation techniques for the analysis of a wide range of chemical compounds. Dr. Alkhateeb published several peer-reviewed articles in top analytical journals.
</blockquote>

AQbD Symposium - Day 1 - Concepts and Approaches for Enhanced Method Development

An update on the guidance, and the impact, the phase-appropriate implementation of AQbD MD and the MaxPeak High Performance Surface. 

Concepts and Approaches for Enhanced Method Development

AQbD or Analytical Quality by Design is an approach to analytical method development that “starts with the end in mind”.
Exploring experimental conditions and using statistical tools to search for a suitable set of conditions until the method is stable and quality goals are met, are the key success factors for the enhanced approach.
Method development is step one, guaranteeing a quality assay requires stress testing and monitoring verified and validated methods. Learn how these easily implemented tools can help guarantee consistent quality and prevent unreliable results.
Join us on Wednesday, November 30 and hear from experts in the Pharma arena on the application of AQbD for compendial methods, how to apply Method performance monitoring, and application of AQbD in the European Pharmacopeia.
Followed by a live panel discussion with all the speakers. So have your questions ready!
<h3>Confirmed Speakers on 30 Nov:</h3>
<h4>AQbD principles application to compendial procedures and across the procedure life cycle</h4>
<blockquote>
Presenter: Amanda Guiraldelli (Scientific Affairs Manager, US Pharmacopeia)
</blockquote>
<blockquote>
Amanda Guiraldelli has been with USP since 2012 and holds the position of scientific affairs manager. She is also the scientific liaison for the USP chapters &lt;1220&gt; Analytical Procedure Life Cycle and &lt;1039&gt; Chemometrics in the compendial science group-general chapters. Previously, Amanda worked as senior scientist at the USP reference standard laboratory for 8 years with characterization of compendial standards.She is visiting professor at the University of Campin as (UNICAMP) Brazil at the Institute of Chemistry and is a frequent speaker and instructor on topics related to analytical procedure life cycle and Analytical Quality by Design (AQbD). Amanda is specialist in chromatography, mass spectrometry and chemometrics and has more than 12 years of experience in pharmaceutical R&amp;D areas.
</blockquote>
<blockquote>
Prior to joining USP, she was R&amp;D scientist in a Brazilian pharmaceutical industry and visiting scientist at TU Berlin in Germany and Leiden University in Netherlands (Center for Proteomics and Metabolomics) working on proteins characterization by LC-HRMS and procedure development using UHPLC-HRMS. Amanda is graduated in pharmacy biochemistry and holds a Ph.D. in analytical chemistry from the University of São Paulo (metabolomics by UHPLC-HRMS, GC-MS and 1H NMR and chemometrics).
</blockquote>
<h4>Replacement of a viral content method for a more robust anion exchange chromatography method</h4>
<blockquote>
Presenter: Dawn Kernaghan (Principal Scientist, AstraZeneca)
</blockquote>
<blockquote>
Dawn received a Masters in Chemistry in 2002 from University of Maryland. After graduating, she got her first work experience in academia performing muscular dystrophy research. She joined AstraZeneca, formerly Medimmune, in 2006 where she worked in analytical method development. While in development shefocused in the areas of immunoassays, new technology evaluations and automation. In 2016, she moved into Operations where she now works on the validation and technology transfer of analytical methods for commercial.
</blockquote>
<h4>Benefits of using 2.x µm columns on UHPLC systems for AQbD development</h4>
<blockquote>
Presenter: Andrea Gheduzzi (Southern Europe Pharma Market Dev. Manager, Waters Corporation)
</blockquote>
<blockquote>
Andrea has spent more than 30 years in the chromatography field. Across his career he had various roles, service engineer, chromatography lab position, and technical application support manager. He has mainly been dealing with pharma accounts, also supporting LC method development activities using DoE/QbD approaches. In his role as Pharma Business Development Manager at Waters he has further expanded his expertise in AQbD and related applications.
</blockquote>
<h4>Moderator for the Event Day 2</h4>
<blockquote>
Presenter: Arjan Timmerman (Waters Corporation)
</blockquote>

AQbD Symposium - Day 2 - Developing Fit for Purpose Methods for the Complete Life Cycle

Join us and hear how to apply Method performance monitoring, and application of AQbD in the European Pharmacopeia.

Developing Fit for Purpose Methods for Complete Life Cycle

The growing demand for battery production has increased the importance for battery manufacturers to ensure that production workflows are efficient and cost-effective. With the complexity of battery manufacturing workflows, there is a high-value need to ensure that the performance and safety of pre-production testing of raw materials, in-process monitoring of intermediate components, and end-products meets specific industry standards.
With the support of a modern laboratory information management system (LIMS), an organization can centrally organize the data generation through battery quality management workflows, and successfully access, analyze, and share data and information to increase time and efficiency. Implementing a LIMS can aggregate data in a meaningful way, seamlessly share that data, and drive insightful decision-making. With the right informatics tools to support production, battery manufacturers can build a strong foundation for improved quality and efficiency making sure that industry standards are met.
Attend this presentation to...
<ul>
<li>discover how LIMS can improve traceability, data integrity, and efficiency in battery cell manufacturing workflows</li>
<li>learn what the benefits of implementing a LIMS into your battery manufacturing organization today would be.</li>
</ul>
<blockquote>
Presenter: Tareq Al-Najjar (Global Strategic Account Executive, Energy – Digital Science Solutions, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Tareq has extensive experience identifying, establishing, and expanding market/product presence in the oil, gas, and energy arenas. With his most recent experience as the VP of International Business Development/Investor Relations at Vacom Systems LLC from 2015–2022, Tareq joined the Thermo Fisher Scientific team in February 2022 to bring his expertise into the LIMS sector. Tareq has a Bachelor of Science Degree in Electrical and Computer Engineering from the University of Utah and a Master of Business Administration (MBA) from the University of Utah David Eccles School of Business.
</blockquote>

Separation Science: How LIMS can benefit battery manufacturing workflows

How LIMS can benefit battery manufacturing workflows

An upcoming presentation outlining the benefits of implementing a laboratory information management system into battery cell manufacturing workflows.