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

CEM Corporation

Agilent Technologies

PerkinElmer

Shimadzu Corporation

SCIEX

Evosep Biosystems

LCTech GmbH

“The little things add up”, we hear it all the time and it’s very helpful to keep in mind when developing a new HPLC method. Not only do they add up, but many of those little things that tripped me up in the past are the same issues that almost everyone else encounters.
In this talk we review the list of our top 10 “gotchas”. Let’s point them out, understand their significance, and remember to avoid them in the future.
<blockquote>
Presenter: Paul Altiero (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Paul Altiero is an Applications Engineer located at the Agilent Little Falls site in Wilmington, DE. Prior to coming to Agilent in 2009, Paul worked in the pharmaceutical industry performing LCMS bioanalysis supporting Drug Discovery DMPK. While at Agilent, Paul has been a field service engineer for LCMS as well as the integrating program manager for the RapidFire high throughput LCMS system. In his current role Paul’s responsibilities include technical support and application assistance for LCMS consumables.
</blockquote>

Agilent Technologies: Top 10 Fails When Developing a Method

Top 10 Fails When Developing a HPLC Method

<h3>Key Learning Points:</h3>
<ul>
<li>Thermally Modified LC (U)HPLC particles for improved column efficiency, inertness, and reproducibility</li>
<li>Reliable, Batch-to-batch LC Column reproducibility</li>
<li>New Web based tools for easy scaling of methods to UHPLC to HPLC to PREP</li>
<li>LC Column Selection and Method Development for Diverse Pharmaceutical Methods</li>
</ul>
<h3>Who Should Attend:</h3>
<ul>
<li>Analytical chemists involved with method development and validation, particularly in the Pharmaceutical industry</li>
</ul>
<blockquote>
Presenter: Dr. Jason Anspach (Senior Product Manager)
</blockquote>

Phenomenex: Advances in Column Technology Providing Next Generation HPLC Performance 

Advances in Column Technology Providing Next Generation HPLC Performance

Thermally Modified LC (U)HPLC particles, LC Column reproducibility, scaling of methods to UHPLC to HPLC to PREP.

Advances in HPLC Column Technology

We’re very excited to bring you a 6 part series of webinars that will air on Wednesdays beginning March 23 and concluding April 6. Each Wednesday there will be a 1 hour webinar from 11:00AM – 12:00PM (EST) and a 1 hour webinar from 3:00PM to 4:00PM (EST) on a range of different applications and topics using the miniGC, miniGAS and miniLC featuring:
<ul>
<li>Dr. Ronda Gras of Dow Chemical</li>
<li>Prof. Jim Grinias of Rowan University</li>
<li>Prof. Emanuela Gionfriddo of The University of Toledo</li>
<li>Todd Griffin of G2 Analytical</li>
<li>Prof. Nick Snow of Seton Hall University</li>
<li>Dr. Alicia Stell of CEM Corporation/Lucidity</li>
</ul>
CEM | Lucidity is pleased to bring together leaders in the field of chromatographic separation to highlight their cutting edge research and share their techniques with the scientific community. Join us each Wednesday to learn about what is new in chromatography and have the opportunity to ask questions after each talk.
<h3>Wed March 23</h3>
<h4>4:00 - 5:00 PM (CET) Simple and Efficient Solutions for Sample Preparation and Analysis</h4>
To achieve efficient analysis for analytes in solid matrices an efficient extraction is first necessary. CEM offers solvent extraction solutions that produce excellent recoveries extracted in less than 10 minutes in one simple automated process. CEM’s extractions solutions can be paired with Lucidity analysis systems, the miniGC and miniLC. The miniGC, a GC-FID, and the mini-LC, an LC-UV, offer ease of use with a small footprint. The systems are so simple that the operator does not need to be a trained chemist, and the small footprints allows the movement of the systems for point of need analysis. Spanning numerous applications in many markets, including food and environmental, CEM sample preparation solutions combined with Lucidity analysis systems allows for accessibility of this type of work to those whom previously considered it impossible. Thus, CEM and Lucidity systems are an excellent option for laboratories seeking a simple solution for extraction and analysis.
<blockquote>
Presenter: Alicia D. Stell, PhD (Product Manager, Organic Solutions Division, CEM Corporation)
</blockquote>
<blockquote>
Dr. Alicia Douglas Stell has worked with CEM for the past 14 years joining after completing her PhD in Analytical Chemistry. Her extensive background in chromatographic analysis and her mechanical expertise have been instrumental in the development of novel systems for sample preparation and analysis. She has traveled the world to present on these novel systems and to identify new markets for this innovative technology.
</blockquote>
<h4>8:00 – 9:00 PM (CET) Detection and Quantification of THC Isomers in Cannabis Infused Edibles</h4>
The popularity of cannabis infused edibles continues to increase due to state medical and recreational cannabis programs. The 2018 Farm Bill has also led to the introduction of hemp infused consumer products. Recently, hemp derived THC isomers, such as delta-8 THC, have been infused into a wide variety of edibles. The complex nature of edible matrices, and chemical similarity in the THC isomers, presents challenges for labs to accurately detect and quantify these cannabinoids. There is a need for cost effective and reliable sample preparation and analysis techniques. Traditional sample preparation techniques, like QuEChERS, are slow and complex. A novel automated solvent extraction method has been used to prepare the edibles infused with THC isomers and a miniature high pressure liquid chromatography system is used to analyze the samples. This presentation will present the automated sample preparation technique and compare results with QuEChERS method. The HPLC method will be presented along with results from the miniature HPLC.
<blockquote>
Presenter: Todd Griffin (CEO and Chief Scientist, Griffin and Griffin Analytical Associates)
</blockquote>
<blockquote>
Todd Griffin is the CEO and Chief Scientist for Griffin and Griffin Analytical Associates. Todd cofounded G2 Analytical with his daughter in 2019. G2 Analytical works at the intersection of science and society to address some of society’s most challenging analysis problems and contribute to a healthier, safer, and more informed community. Todd is also an instructor of chemistry and mathematics at Wingate University. Prior to starting G2 Analytical, Todd was the Director of Research and Engineering at Chemring Detection Systems and Director of Science &amp; Technology at General Dynamics, ATP leading a dynamic organization dedicated to the research, development, manufacturing, and support of threat detection systems for the defense and security industry. Todd was also the Chief Scientist for Naval Surface Warfare Center, Crane Division (NSWC Crane) for Night Vision, Electro Optics, Chemical, Biological, and Explosives Detection. Todd completed his undergraduate degrees in Chemistry and Mathematics at Wingate University and his graduate degree at Indiana University, Bloomington.
</blockquote>

CEM/Lucidity: Wednesday Webinars on Separation Solutions

Wednesday Webinars on Separation Solutions

Topics: 1. Simple and Efficient Solutions for Sample Preparation and Analysis, 2. Detection and Quantification of THC Isomers in Cannabis Infused Edibles.

When it comes to the HPLC analysis of polar water-soluble compounds by reversed-phase chromatography, things can get complicated and method simplification and reproducibility becomes even more important.
Polar water-soluble compounds are generally difficult to retain on hydrocarbon based (n-octyl or octadecyl) stationary phases and the separation of a mixture of water-soluble compounds on such types of columns can be challenging. 
Many of us know or use methods that utilize ion-pairing mobile phase techniques to enable the retention and separation of polar analytes. However, many ion-pairing mobile phases are complicated and difficult to control. 
PhD Matthew Przybyciel, R&amp;D Leader at PerkinElmer will present how, even the most difficult analyses, can be simplified and demonstrate how the latest in column developments can enable easier and faster HPLC analysis of polar compounds for an end-to-end workflow solution that can improve your lab productivity.
<h3>In This Exciting Live Webinar You&#39;ll Learn About:</h3>
<ul>
<li>Ways to tackle the most difficult HPLC polar compund analyses</li>
<li>Which columns are best suited for polar compounds</li>
<li>Simplifying methods and avoiding the use of ion-pairing mobile phases</li>
<li>Examples for a variety of food and pharma applications that require the retention and separation of polar compounds</li>
</ul>
<h3>Who Should Attend:</h3>
Lab managers or directors, pharma QA/QC employees &amp; management, food and beverage safety and quality employees &amp; management, chromatography chemists, lab scientists, university professors, preparative chromatography specialists.
<blockquote>
Presenter: Matthew Przybyciel (R&amp;D Leader, PerkinElmer)
</blockquote>
<blockquote>
Matthew has a PhD in Analytical Chemistry from the University of South Carolina. The focus of his research was the development of new stationary phases for capillary gas chromatography. In the late 1990’s he worked in ES Industries focusing its efforts exclusively on chromatography column products for HPLC and SFC where Matt was Vice President and Technical Director for chromatography products. He has successfully developed and commercialized a number chromatographic stationary phases and columns for high performance chromatographic separations for HPLC and SFC.
</blockquote>
<blockquote>
In 2021, ES Industries became part of PerkinElmer, Inc. and Matthew now is product development leader at PerkinElmer.
</blockquote>
<blockquote>
As part of his work, he has also published a number of articles on the development and application of new stationary phases for GC, HPLC and SFC.
</blockquote>

PerkinElmer: Strategies to Enable and Simplify HPLC Polar Compound Separation

Strategies to Enable and Simplify HPLC Polar Compound Separation

Howt difficult analyses can be simplified and demonstrate how the latest in column developments can enable easier and faster HPLC analysis of polar compounds.

Strategies for HPLC Polar Compound Separation

<h3>Method development</h3>
Method development: provides a backbone workflow for method development with tips and tricks to make your process easier.
LC-MS/MS is a powerful quantitative and qualitative tool that has many advantages over other analytical techniques in terms of sensitivity, specificity and versatility. To help you determine whether LC-MS is a good fit for your lab, we have put together a 4-part webinar series on what you need to know.

LC-MS/MS 101 webinar series: Method development

Method development: provides a backbone workflow for method development with tips and tricks to make your process easier. 

In the forensics field, it is important that you get the most accurate results in the shortest time, and often with the smallest sample so that you can preserve the remaining amount for further tests. This calls for instrumentation and equipment that is automated, fast and has superior sensitivity. Shimadzu’s analytical tools do not only meet these requirements seamlessly, thereby giving you the confidence to analyse complex forensic samples but also enable your forensic toxicology laboratory to solve your most pressing analytical challenges, regardless of sample type.
Shimadzu products cover anything from sample preparation to screening, identification and confirmation across a wide variety of forensic applications, ranging from drugs of abuse screening and confirmation, measuring heavy metals and toxins in blood and urine samples, sports doping analysis, trace evidence analysis, and more. In addition, our wide range of instrumentation can be used with a variety of sample types, such as whole blood, urine, plasma, oral fluids, postmortem, tissues, etc.
Tune in to this webinar to learn more about Shimadzu solutions for forensic analysis. 
<blockquote>
Presenter: Shailesh Damale (Deputy Manager- Application Support, Shimadzu Middle East &amp; Africa)
</blockquote>

ShimadzuAn Introduction to Shimadzu’s Forensic Solutions

An Introduction to Shimadzu’s Forensic Solutions

Tune in to this webinar to learn more about Shimadzu solutions for forensic analysis. 

<h4>Absolute Quantitation of Fragile Metabolites using Ion Pair Chromatography and Isotope Dilution Mass Spectrometry</h4>
This Webinar focuses on using ion pair chromatography with isotope dilution mass spectrometry to quantitate fragile metabolites. To address the challenge of analyzing fragile unstable analytes, Agilent has redesigned the ion funnel on the Agilent 6495C triple quadrupole LC/MS. The concentrations we show range from attomole to nanomole levels in biological matrices covering the wide range of concentrations that are observed in biological samples. The use of 13C incorporated yeast avoids the cost and time-consuming labor of preparing isotopically labeled standards. Using the ratio of the response from the 12C analyte to the ratio of the response of the 13C-labeled analyte, the linear dynamic range of quantitation extends to between 6–8 orders of magnitude. 
<blockquote>
Presenter: Sheher Banu Mohsin, Ph.D. (Senior Applications Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Sheher Mohsin is a senior applications scientist at Agilent Technologies. She received her Ph. D in physical chemistry from the University of Illinois and an MBA from Rockhurst University. She started her career at the US Environmental Protection Agency working on dioxin analysis with high resolution mass spectrometers. She later joined Bayer and worked in the special analysis lab using mass spectrometry to solve problems in synthesis, impurity determination and submission of final product impurity profile to regulatory agencies. Sheher’s current focus is on lipidomics using GC, LC and SFC separations and mass spectrometry. Sheher collaborates with academic and government researchers working on complex problems to come up with innovative, simplified workflows using the latest tools in separation and mass spectrometry.
</blockquote>
<h4>A Turnkey, End-to-End Targeted LC/MS Metabolomics and Lipidomics Workflow</h4>
LC/MS-based omics workflows continue to evolve and improve due to various technological developments in each area of the workflow. This webinar brings together technological advances in sample preparation and analyte separation from biocrates and technological advances in analyte detection from Agilent to provide a comprehensive, targeted LC/MS omics workflow for the detection of hundreds of lipids and polar metabolites. The sample preparation method and data collection are supported by several data analysis software packages offered by both biocrates and Agilent that can be used to extract compounds of interest, calculate key metabolic ratios, and complete statistical comparisons. 
<blockquote>
Presenter: Genevieve Van de Bittner, Ph.D. (R&amp;D Researcher, Agilent Research Laboratories, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Genevieve joined the Agilent Research Laboratories within Agilent Technologies in 2016 with a goal of improving technologies for metabolomic and metabolism measurements. Toward this goal, Genevieve has developed new sample preparation methods for LC/MS metabolomic and lipidomic analyses. These efforts have been informed by Genevieve’s training in chemical biology, specifically in the development of novel chemical probes to study biological systems. In her graduate work in Professor Chris Chang’s Lab at UC Berkeley, Genevieve created bioluminescent and fluorescent sensors for the in vivo measurement of reactive oxygen species and metal ions. This training led to a postdoctoral fellowship in Professor Jacob Hooker’s Lab at Harvard Medical School, during which Genevieve developed new radiotracers for imaging specific neuronal populations.
</blockquote>
<h4>Jump Starting Your Targeted Metabolomics Workflow: New Methods for Automated Sample Prep, HILIC Separation, and Comprehensive MRM Database</h4>
Targeted metabolomics methods can be deployed for profiling or quantitating known metabolites in a biological sample. Developing the methodology can be troublesome for new users or busy labs that are focused on biological insights and not LC/MS method development. Discussed here is an established methodology for solid phase extraction sample prep, reproducible HILIC chromatography, and a custom MRM database for polar metabolites that includes retention times. Data from plasma and cell matrices will be showcased as well and downstream analysis for biological interpretation. This talk will focus on a targeted metabolomic workflows for answering your research questions with ease.
<blockquote>
Presenter: Karen Yannell (LC/MS Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Karen E. Yannell is a LC/MS Application Engineer at Agilent Technologies. She is an expert in small molecule high throughput analysis by triple quadrupole (TQ) and quadrupole time-of-flight (QTOF) mass spectrometry for applied markets. Her recent work has focused on developing routine Q-TOF workflows for both expert and non-expert users alike. Previously, Karen worked on forensic, metabolomics, and biomarker discovery applications with ambient ionization sources. She received her PhD in Analytical Chemistry from Purdue University where studied under the advisement of Prof. R. Graham Cooks. Outside of the laboratory, she enjoys cooking unique dishes and hiking along the beach with her dog.
</blockquote>

Agilent Technologies: Expanding your OMICS Expertise

Illuminating Targeted Metabolomic Approaches: Ways to Make it Work for your Particular Needs

Illuminating Targeted Metabolomic Approaches

The second Pharma Virtual Symposium offers you innovative solutions that address the challenges you face day to day in your lab. Visit the virtual booths to explore workflow &amp; compliance solutions. Explore “Tomorrow’s technologies for today” to improve efficiency, productivity &amp; reduce the compliance risks.
<h5>The symposium will be following these two tracks:</h5>
<ul>
<li>Day 1- Pharmaceutical Workflow For Development To QC</li>
<li>Day 2 - Pharmaceutical Workflow for Impurities</li>
</ul>
Come and explore the world of pharmaceutical solutions which have been developed keeping your daily problems in mind.
<h5>What’s inside the Pharma Virtual Symposium?</h5>
<ul>
<li>Live Webinars from Agilent Experts</li>
<li>Virtual Exhibition with detailed Booths and Application Notes</li>
<li>Live Chat with Experts from your local region</li>
<li>Comprehensive Resource Centre with relevant collaterals for the Pharma Market</li>
<li>Demo Lab with videos about how our Instruments work</li>
</ul>
Join this Symposium and feel free to get involved, ask questions, make suggestions and be a part of the community.
<h3>Day 1 -Pharmaceutical Workflow For Development To QC</h3>
<h5>10:15 a.m. (IST) Lifecycle Management and QbD–An Analytical Perspective</h5>
<ul>
<li>Kuldeep Sharma (Business Development Manager –Pharmaceutical)</li>
<li>Sreelakshmy Menon (Application Specialist –LCAgilent Technologies)</li>
</ul>
<h5>11:15 a.m. (IST) One Instrument Multiple Possibilities: Cary 3500 Uv-vis With OpenlabECM Network Connectivity</h5>
<ul>
<li>Shubham Sengupta (Product Specialist –Spectroscopy, Agilent Technologies)</li>
</ul>
<h5>12:00 p.m. (IST) High Throughput Raman Spectroscopy from Raw Material Testing to Finished Product Analysis</h5>
<ul>
<li>Shubham Sengupta (Product Specialist –Spectroscopy, Agilent Technologies)</li>
</ul>
<h5>02:00 p.m. (IST) An Integrated Laboratory Informatics System for Greater Efficiency and Data Integrity</h5>
<ul>
<li>Amit Ghate (Application Specialist –Lab Informatics, Agilent Technologies)</li>
</ul>
<h5>03:00 p.m. (IST) A Guide to Updating HPLC Compendial Methods in Pharmaceutical Analysis</h5>
<ul>
<li>Sunil Lakhmapure (Technical Support Specialist -Chemistries &amp; Supplies Division, Agilent Technologies)</li>
</ul>
<h5>04:00 p.m. (IST) Compliance And CSV Solutions For Organizations To Comply With The Current Regulatory Requirements</h5>
<ul>
<li>Sridhar Atmakuri (Sales Development Manager –Compliance Specialist, Agilent Technologies)</li>
</ul>

Agilent Technologies: Agilent Pharma Virtual Symposium 2022

Agilent Pharma Virtual Symposium 2022 - Day 1 - Pharmaceutical Workflow For Development To QC

Come and explore the world of pharmaceutical solutions which have been developed keeping your daily problems in mind.

Pharmaceutical Workflow For Development To QC

In the ever lasting effort to boost the number of protein identified in MS-based proteomic experiments, it has become clear that Data Independent Analysis (DIA), combined with short gradients, has become a winning combination.
The steep development over the last years, have positioned DIA as an important acquisition strategy to generate record high identifications with short gradients on the Evosep One.
Join this webinar to explore how our customers have used Evosep One to generate record high IDs per minute for large-scale sample cohorts.
<h4>Combining Evosep One with state of the art SWATH acquisition</h4>
<ul>
<li>Presenter: Yves Le Blanc (Associate Chief Research Scientist, SCIEX)</li>
<li>Presenter: Ihor Batruch (Technical Product Manager at Sciex)</li>
</ul>
Accurate and reproducible compound identification from complex mixtures is ultimately the goal of any LC-MSMS analysis. To achieve this on a large number of analytes, Data Independent Analysis (DIA) methods have emerged as MSMS technique that can reliably detect the response of analytes over their entire chromatographic peak. Combination of these techniques with high performance LC separation provides higher confidence in compound identification.
Here we present the combination of rapid LC analysis provided by the Evosep system, along with SWATH acquisition approaches. The first approach focussed on Scanning-SWATH, over small mass range, in combination with the Evosep workflow of 200 and 100spd. Using 1 amu window and fast sample turn around, maximum coverage can be achieved with high confidence through replicate analysis.
The second approach focused on protein identification and quantification achievable with a ZenoTOF 7600 system in SWATH acquisition mode coupled to Evosep operated at workflows of 200, 100, 60 and 30 SPD across different HeLa digest sample loads. Performance improvements of a novel Zeno SWATH acquisition strategy relative to SWATH acquisition on a prototype ZenoTOF 7600 system will also be evaluated. A preliminary look at how these combined technologies can improve sample throughput as well compound coverage with be presented.

EVOSEP: Combining Evosep One with state of the art SWATH acquisition

Combining Evosep One with state of the art SWATH acquisition

Here we present the combination of rapid LC analysis provided by the Evosep system, along with SWATH acquisition approaches.

LCTech GmbH invites you to a Zoom meeting. Be there and let Angelika Köpf and our mycotoxin experts Dr. Frederik Wuppermann explain the advantages of SMART columns to you. In addition, the application with our automation FREESTYLE ThermELUTE™ will be demonstrated.
During this webinar we will show you the manual use of the SMART Columns and the automated processing on our FREEESTYLE ThermELUTE™. You can ask your questions directly to our mycotoxin expert Dr. Frederik Wuppermann during this opportunity.
We will gladly accept your registration via email to news@lctech.de.
<blockquote>
Presenter: Angelika Köpf (Head of Sales at LCTech GmbH)
</blockquote>
<blockquote>
Presenter: Frederik Wuppermann (Product Manager LC - Application at LCTech GmbH)
</blockquote>

LCTech: Getting to know LCTech's mycotoxin SMART columns

Getting to know LCTech's mycotoxin SMART columns

LCTech invites you to the LIVE-DEMO mycotoxin SMART Columns. In addition, the application with our automation FREESTYLE ThermELUTE will be demonstrated.