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

Agilent Technologies

Thermo Fisher Scientific

SelectScience

C&EN

Waters Corporation

Chromatography can be complicated. Sample preparation is important, but not always used correctly. This webinar will cover some unexpected problems and solutions to generate better data. We will cover topics including peak shape, ghost peaks, tailing peaks, split peaks, missing peaks, variable retention times, high backpressure, instrument contamination, and ion suppression.
We will go over strategies for cleaning up your sample, protecting your column and instrument from sample matrix contamination, and getting reliable, reproducible, and accurate results from your chromatography.
<blockquote>
Presenter: Alex Ucci (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
In his current position at Agilent, Alex provides application assistance and technical support for sample preparation products as well as GC and LC consumables. Before he joined Agilent in 2014, Alex was a graduate student at the Pennsylvania State University researching the morphology and surface properties of aerosol particles using a wide variety of analytical techniques. He has an MS degree in chemistry.
</blockquote>

Agilent Technologies: Techniques for Avoiding Unexpected Problems in LC and GC Analysis

Techniques for Avoiding Unexpected Problems in LC and GC Analysis

Peak shape, ghost peaks, tailing peaks, split peaks, missing peaks, variable retention times, high backpressure, instrument contamination, and ion suppression.

Techniques for Avoiding Unexpected Problems in LC and GC

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

Agilent Technologies: Development of RapidFire Native Mass Spectrometry and Collision Induced Unfolding Methodologies for High Throughput Screening of Protein and Oligonucleotide Biotherapeutics.

Development of RapidFire Native Mass Spectrometry and Collision Induced Unfolding Methodologies for High Throughput Screening of Protein and Oligonucleotide Biotherapeutics.

Development of RapidFire Native Mass Spectrometry and Collision Induced Unfolding Methodologies for High Throughput Screening.

RapidFire Native MS of Proteins and Oligonucleotides

Per- and polyfluoroalkyl substances (PFAS), also referred to as ‘forever chemicals’, are an increasing concern since they accumulate in the environment and may have some deleterious effects on human health.
In this webinar, Dr. Estelle Riche, Global Application Specialist from Merck KGaA, Darmstadt, Germany, will discuss the importance of reagent water quality in trace analyses of PFAS by LC-MS/MS. Dr. Riche will show data on the efficiency of a lab water purification system at removing traces of PFAS from tap water and delivering ultrapure water suitable for sensitive PFAS testing. This webinar will also offer guidance on how to select an optimal water purification solution for these analyses, including tips on how to prevent water contamination for optimal experimental results.
Key learning objectives
<ul>
<li>Understand the role of reagent water in PFAS analyses by LC-MS/MS
</li>
<li>Discover how water purification technologies play a role in PFAS removal
</li>
<li>Learn how to select the best water purification solution to suit your lab’s needs
</li>
</ul>
Who should attend?
<ul>
<li>Any scientist analyzing or planning to analyze PFAS
</li>
<li>Lab managers and anyone using or maintaining lab water purification systems
</li>
</ul>
<blockquote>
Presenter: Dr. Estelle Riche, PhD (Global Application Specialist, Merck KGaA, Darmstadt, Germany)
</blockquote>
<blockquote>
Dr. Estelle Riche holds an engineering degree in chemistry from ESCOM in France and a Ph.D. in chemistry from the University of North Carolina (UNC) in the USA. She started her career as a Professor at UNC, then joined Merck KGaA, Darmstadt, Germany eighteen years ago. She is currently Global Application Specialist for Lab Water Solutions and her responsibilities include understanding the potential impact of water quality on the results of laboratory analyses.
</blockquote>
<blockquote>
Presenter: Carrie Haslam (SelectScience)
</blockquote>
<blockquote>
Dr. Carrie Haslam is an Associate Editor at SelectScience, playing a key role in content production and specializing in Materials Science, Alzheimer’s disease and Clinical Diagnostics. Carrie completed a Ph.D. from The University of Plymouth, where she developed graphene-based biosensors for the early diagnosis of Alzheimer’s disease.
</blockquote>

SelectScience: Is your lab water pure enough for sensitive PFAS analyses?

Is your lab water pure enough for sensitive PFAS analyses?

The importance of reagent water quality in trace analyses of PFAS by LC-MS/MS.

Join us for an informative webinar where we&#39;ll unveil our innovative in-house method for studying Extractables and Leachables (E&amp;L) substances in common medical and pharmaceutical-grade plastics.
We&#39;ll dive into the analysis of nylon, polyurethane, and PVC (epoxidized soybean oil) oligomers, showcasing our approach that leverages multiple advanced detectors to analyze a wide range of analytes with diverse chemical properties.
Our method incorporates an ingenious inverse gradient technique, fine-tuned with an in-line mixer and optimized gradient delay times. We&#39;ll demonstrate the application of a previously published calculation to determine analyte behavior, classifying them as non-volatiles or semi-volatiles using CAD (Charged Aerosol Detection).
By attending, you&#39;ll discover how our approach minimizes inter-analyte response factor variation, enhancing quantitative accuracy and reducing uncertainty in setting analytical evaluation thresholds. Ultimately, our method is designed to meet crucial requirements in E&amp;L studies, ensuring efficient and cost-effective protection against potentially harmful substances. Don&#39;t miss this opportunity to stay at the forefront of E&amp;L research.
Learning points:
<ul>
<li>determine which analytes behave as non-volatiles with CAD and can therefore be accurately quantified using surrogate standards
</li>
<li>improve quantification accuracy and reduce response factor variation using an inverse gradient
</li>
<li>use an in-line mixer to combine the analytical and inverse gradients and improve response uniformity
</li>
</ul>
Who should attend:
<ul>
<li>Laboratory managers and directors
</li>
<li>Technology leaders 
</li>
<li>Principal scientists 
</li>
<li>Laboratory analyst
</li>
</ul>
<blockquote>
Presenter: Katherine Lovejoy (Product Applications Specialist, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Katherine Lovejoy, Ph.D. has been an application chemist focusing on charged aerosol detection at the Thermo Fisher Scientific HPLC factory site since 2016 and has a Ph.D. in inorganic chemistry from the Massachusetts Institute of Technology. She has experience as a chemist reviewer at the FDA and as a scientist at Los Alamos National Laboratory.
</blockquote>
<blockquote>
Presenter: Chris Tuczemskyi (Moderator, Product Marketing Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Chris Tuczemskyi is a chromatography specialist at Thermo Fisher Scientific, based in Cambridge, UK. After spending a number of years building up his experience with chromatography instruments in a water testing laboratory, he joined Thermo Fisher Scientific in 2014 as a chromatography service engineer for Unity Lab Services. Here he developed his passion for supporting customers using HPLC and in 2018 moved into the application specialist team. More recently, in 2022 he made the move to Product Marketing to help ensure we meet and exceed our customers expectation. In 2009, Chris graduated from the University of Essex in Biochemistry (Bsc Hons).
</blockquote>

Thermo Scientific: How HPLC-CAD Analysis Can Allow You to See Hidden Extractable Oligomers

How HPLC-CAD Analysis Can Allow You to See Hidden Extractable Oligomers

Innovative in-house method for studying Extractables and Leachables (E&L) substances in common medical and pharmaceutical-grade plastics.

How HPLC-CAD Analysis Can Allow You to See Hidden Oligomers

Solid-Phase Extraction (SPE) is a fundamental sample preparation technique widely used across all areas of analytical chemistry.
Whether new to SPE or seeking a refresher, this webinar will introduce the basics of sample preparation and provide practical insights and technical background on the benefits when choosing SPE over another form of sample preparation, especially for analytes in complex matrices. Join us in exploring SPE retention mechanisms, device format and sorbent selection, and best practices for implementing successful SPE methods. This webinar is designed for both beginners and experienced scientists looking to reinforce their understanding of this sample clean-up tool.
Learning Objectives Include:
<ul>
<li>Understanding SPE Fundamentals
</li>
<li>Optimizing SPE by Selecting an Appropriate Sorbent, Format, and Protocol
</li>
<li>Verifying Successful SPE Implementation and Troubleshooting Tips
</li>
</ul>
<blockquote>
Presenter: Chelsea Plummer (Senior Product Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Chelsea Plummer, PhD is a Senior Product Marketing Manager with a background in bioanalytical mass spectrometry. Graduating from Purdue University and The University of Alabama, her research focused on analysis of small molecules and peptides by both quantitative and high resolution MS. At Waters, Chelsea has supported customers across product specialist roles in both consumables and mass spectrometry. Later moving to Waters’ product team, she now covers sample preparation, particularly focused on solid-phase extraction products for use in bioanalysis, food, and environmental applications. Chelsea enjoys working closely with the scientific team at Waters to provide customers with helpful sample preparation solutions.
</blockquote>

Waters Corporation: Solid-Phase Extraction: Back to Basics

Solid-Phase Extraction: Back to Basics

Basics of sample preparation and provide practical insights and technical background on the benefits when choosing SPE over another form of sample preparation.

Choosing the right LIMS is a challenge, but it can be accomplished with sufficient research and strong compatibility between your organization’s needs and the functionality of the software.
Once companies have selected the right LIMS, they will need to embark on the next stage of their journey – implementation. It is imperative that your implementation project is successful and efficient, driven by the strategic partnership and common goals that you and your vendor have established.
In this webinar, we will discuss how to achieve a successful laboratory software installation:
<ul>
<li>Consider resources - a successful project needs key stakeholder involvement. What&#39;s usually expected from a customer? Who should be involved, and how much time will they need to commit?
</li>
<li>What are you looking to solve? You will have thought about this while selecting your solution, but you must revisit this to ensure you stay on track and understand the true scope of your project.
</li>
<li>Key LIMS project management considerations - Keep things simple, know your scope, work in phases. We&#39;ll cover all the common pitfalls of lab software projects and how to avoid them.
</li>
<li>Looking ahead. Your LIMS project doesn&#39;t stop when you go live. How can you ensure ongoing success through the life of your LIMS?
</li>
</ul>
By attending this presentation, you will:
<ul>
<li>learn how to elevate your laboratory with a successful LIMS implementation
</li>
<li>understand the important aspects of the implementation journey
</li>
<li>see how a successful implementation can ensure ongoing success for your organization
</li>
</ul>
<blockquote>
Presenter: Anand Radhakrishnan (Services Manager – Digital Science Solutions, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Anand Radhakrishnan is the Services Manager for the Digital Solutions division at Thermo Fisher Scientific. Anand has an extensive background in customer relations and implementation strategies among life sciences and R&amp;D organizations. He joined Thermo Fisher in 2018 as a Senior Global Customer Success Manager, ensuring implementations of LIMS across customers, and transitioned to a Services Manager leading the Digital Solutions technical implementation team in September 2020. In his current role, he leads a team of specialists as they support technical implementation of LIMS in pharmaceutical, diagnostic, and quality control laboratories to execute the customer’s R&amp;D digital transformation strategy. Anand has a Ph.D. in Biochemistry and Microbiology from the Max Planck Institute for Biophysical Chemistry, an M.Sc in Molecular Biology from the International Max Planck Research School, and a Bachelor’s Degree in Biochemistry from the University of Malaya.
</blockquote>

Separation Science: Elevate your lab: How to manage a successful LIMS implementation

Elevate your lab: How to manage a successful LIMS implementation

How to achieve a successful laboratory software installation.

How to manage a successful LIMS implementation

With the rising clinical and commercial successes of AAV-based gene therapies, there is an ever-growing demand for robust, platform analytical technologies that can help ensure better product quality, safety, and efficacy.
Size exclusion chromatography (SEC) and Field Flow Fractionation (FFF), coupled with multi-angle light scattering technologies (MALS), are rapidly emerging as transformative technologies for rapid and accurate characterization of AAV samples. Critical Quality Attributes (CQAs) such as capsid titer, genome titer, empty/full, % aggregation and purity of various AAV serotypes can all be obtained in a single measurement. This multi-attribute approach dramatically reduces operational costs and reduces drug development timelines. 
Key Learning Objectives:
<ul>
<li>See how SEC-MALS compares to orthogonal techniques (ddPCR, Capsid ELISA’s, and AUC) for the characterization of AAV during various downstream steps 
</li>
<li>Understand how light scattering can be used as a rapid screening tool when working with multiple AAV serotypes 
</li>
<li>Appreciate the value of FFF-MALS for accurate, AAV aggregation analysis
</li>
</ul>
Who Should Attend:
<ul>
<li>Academic researchers involved in biophysical studies 
</li>
<li>Academic researchers involved in gene therapy studies 
</li>
<li>Gene Therapy - Discovery 
</li>
<li>Gene Therapy - Development
</li>
<li>Gene Therapy – QC
</li>
<li>Government researchers involved in gene therapy research
</li>
</ul>
<blockquote>
Presenter: Steven Milian, M.S. (Sr. Staff Scientist, Research &amp; Development Dept. of Patheon (by Thermo Fisher Scientific) Viral Vector Services)
</blockquote>
<blockquote>
Presenter: Gennarino Del Bagno, B.S. (Lead Scientist, Research &amp; Development Dept. of Patheon (by Thermo Fisher Scientific) Viral Vector Services)
</blockquote>
<blockquote>
Presenter: Sophia Kenrick, Ph.D. (Director of Analytical Sciences, Waters|Wyatt Technology)
</blockquote>
<blockquote>
Presenter: Melissa O&#39;Meara (Forensic Science Consultant, C&amp;EN Media Group)
</blockquote>

C&EN: Shining Light on AAVs: Using Light Scattering Technologies to Solve Challenges in Characterization

Shining Light on AAVs: Using Light Scattering Technologies to Solve Challenges in Characterization

See how SEC-MALS compares to orthogonal techniques (ddPCR, Capsid ELISA’s, and AUC) for the characterization of AAV during various downstream steps.

AAVs: Light Scattering Technologies to Solve Challenges

Typical PFAS methods include 18 to 40 individual legacy, short to long chain PFAS compounds. However, as the long chain PFAS have been phased out of industrial uses, they were replaced by short and ultra-short chain versions with similar chemistries, environmental persistence, and toxicological impact. As we continue to assess PFAS impacts in the environment, methods for identifying and quantifying the short and ultra-short chain PFAS are also needed.
Chromatography methods using common reverse phase columns, however, do not retain the ultra-short chain PFAS, so these are not usually included in the current quantitative methods.
We will explore how we can take advantage of the mixed mode chemistry of PFAS molecules to routinely detect and quantify a broad scope of PFAS, including the ultra-short chains to legacy long chain versions, all detected in a single injection, using mixed mode reverse phase and anion exchange separation column chemistries.
<h3>Key Learning Topics:</h3>
<ul>
<li>Improved workflow for a wide range of PFAS compounds</li>
<li>Mixed mode separations using a reverse phase and anion exchange column</li>
<li>Improved analyte identification and data quality</li>
<li>Addressing instrument contamination</li>
</ul>
<h5>Who should attend?</h5>
<ul>
<li>PFAS Program Managers</li>
<li>Laboratory Managers</li>
<li>Scientists</li>
<li>Quality Assurance Managers</li>
</ul>
For more information please contact Jenifer_Lewis@Waters.com or Ravali_Alagandula@Waters.com
<blockquote>
Presenter: Kari Organtini, PhD (Principal Scientist, Waters Corporation)
</blockquote>
<blockquote>
Kari Organtini is a Principal Scientist at Waters Corporation and has been with the company for six years. She received her PhD from Penn State University in 2015 studying the occurrence of dioxins and furans in fire debris and their implications to first responder health. At Waters, Kari is part of the food and environmental applications team. During her career, Kari has developed applications using both LC and GC techniques for a variety of applications ranging from pesticides to persistent organic pollutants. She is currently the scientific lead for developing PFAS applications at Waters.
</blockquote>

LabRulez/AI: To Isolation and Beyond: A New Mixed Mode Column Approach for PFAS Chromatography

To Isolation and Beyond: A New Mixed Mode Column Approach for PFAS Chromatography

We will explore how we can take advantage of the mixed mode chemistry of PFAS molecules to routinely detect and quantify a broad scope of PFAS.

A New Mixed Mode Column Approach for PFAS Chromatography

Whether you are analyzing for food contaminants such as PFAS or pesticide residues, screening for food adulteration in tea, or profiling the flavor of alternative proteins, trusted answers is critical in food testing. Agilent keeps you at the forefront of the latest trends in food testing – so you can deliver the highest quality and value to your customers. Join us in this webinar series as food testing experts from all over the world talk share their robust and reliable workflow solutions to meet the challenges in food safety, authenticity, and quality testing. These experts have allotted ample time for discussion so share your thoughts and bring in your questions!
The webcast will take the audience through the suite of analytical techniques that were utilized to obtain a comprehensive picture of the presence of per-and polyfluoroalkyl substances (PFAS) in selected Canadian food packaging used for fast foods. The levels and profiles of PFAS in the samples can provide valuable information on the sources of these chemicals, especially polymeric ones.
Key Learning Objectives/What attendees will learn:
<ul>
<li>Methodological approach for the analysis of PFAS in packaging materials
</li>
<li>PFAS profiles provide information on sources
</li>
<li>Implications for regulatory purposes
</li>
</ul>
<blockquote>
Presenter: Marta Venier, PhD (Assistant Professor, Paul O’Neill School of Public and Environmental Affairs, Indiana University)
</blockquote>
<blockquote>
Marta Venier is an environmental chemist and Assistant Professor at the Paul O’Neill School of Public and Environmental Affairs at Indiana University in Bloomington, Indiana. In her research she employs analytical chemistry and mass spectrometry techniques to study the fate, transport, and behavior of persistent organic pollutants including both legacy and emerging pollutants in the indoor and outdoor environment and in consumer products. Since November 2019, she has been leading the Integrated Atmospheric Deposition Network (IADN), a monitoring program funded by the U.S. Environmental Protection Agency.
</blockquote>

Agilent Technologies: PFAS in Fast Food Packaging

PFAS in Fast Food Packaging

The suite of analytical techniques that were utilized to obtain a picture of the presence of PFAS in selected Canadian food packaging used for fast foods.

Mass Spectrometry Imaging (MSI) is a technique that allows chemical information to be obtained directly or via the use of matrices from a wide range of surfaces. MS Imaging provides information on the spatial distribution of molecules at or near the surface. Imaging provides beautiful and information-rich images that allow scientists to answer the fundamental question: “Where is this component in my sample?”
In this webinar series, we will examine the basics of MS imaging, compare the techniques of untargeted and targeted MS Imaging and the information that can be gained from each, and end with an interview from Dr. Ryan Leib (Stanford University) and Dr. Roy Martin (Waters Corporation) on the practicalities of setting up a MS Imaging Core lab.
Who Should Attend: Any scientist, lab managers or lab directors looking to expand (or refresh) their knowledge of MS Imaging.
<h3>Part Two – October 17th, 2023: Untargeted versus Targeted Imaging</h3>
In the second session, we will look at the differences between untargeted and targeted imaging: the systems on which the data can be acquired, what data is collected using each technique, how data can be analyzed and how they can work together to provide a complete picture.
<blockquote>
Presenter: Anthony Midley (Principal Applications Support Scientist, Waters Corporation)
</blockquote>
<blockquote>
Anthony Midey is a Principal Applications Support Scientist in Waters Biomedical Research group at Americas Application Laboratory, providing pre- and post-sales support in DESI, MALDI, and imaging mass spectrometry. He is also the BMR team lead for targeted metabolomics and lipidomics LC-MSMS applications. Anthony received his Ph.D. in spectroscopy and mass spectrometry from the University of Rochester and joined Waters in 2015. He has over 55 publications in peer-reviewed journals, with over 10 years working in the analytical instruments sector.
</blockquote>
<blockquote>
HOST: Kieron Faherty, Ph.D. (Separations and Mass Spectrometry Field Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Kieron Faherty is the Separations and Mass Spectrometry Field Marketing Manager for the Americas at Waters Corporation. He received his B.Sc. (Hons) in Chemistry from the University of Reading (Reading, Berkshire, UK) and his doctorate in Chemistry from the University of Massachusetts (Amherst, MA). He has held several field-based positions at Waters, most recently as a Field Applications Specialist focused on biopharmaceutical applications using Time-of-Flight mass spectrometry instrumentation.
</blockquote>