In this episode of ‪ChromatographyTalk‬, ‪Organomation‬ General Manager David Oliva sits down with Imad Haidar Ahmad, Scientific Research Director at Amgen leading separations for Discovery Chemistry and Externalization. Imad's career spans Novartis, Merck, and now Amgen, and his research on computer-assisted method development has landed multiple front covers in Analytical Chemistry.We dig into how his group builds retention models from as few as nine lab experiments to map an entire separation landscape — replacing weeks of trial and error with a resolution map you can query and rebuild from. Imad breaks down where this modeling approach struggles (large molecules, SFC, fully autonomous method development), walks through two-dimensional liquid chromatography in plain terms for anyone who's only worked in 1D, and shares the story behind his group's greenness-score mapping work — including where swapping acetonitrile for methanol worked, and where it didn't.We also talk career advice: what a typical day looks like leading a discovery-stage separations team, how undergrad and grad students can bridge the academia-to-industry gap, and what Imad sees as the field's biggest unsolved problem.<h3>Video Transcription</h3>Chromatographic method development is increasingly moving beyond trial and error toward workflows built on modeling, automation, multidimensional separations, and smarter use of data. In a recent interview, Haidar Ahmad discussed how these approaches are changing pharmaceutical analysis, why understanding the fundamentals of chromatography remains essential, and where some of the biggest opportunities in separation science still lie.Ahmad’s route into analytical chemistry was not entirely planned. As an undergraduate, he initially found inorganic and organic chemistry particularly attractive, but a final-year project focused on the analysis of additives in bread introduced him to the possibilities of analytical chemistry. During his PhD, his research moved into polymer analysis and structure–property relationships. His interest in chromatography deepened when he encountered two-dimensional liquid chromatography (2D-LC), particularly its ability to reveal forms of polymer heterogeneity that could not be adequately characterized using a single separation technique. This eventually led to postdoctoral work with Peter Carr, where Ahmad focused on chromatographic separations and the fundamentals of chromatography.His subsequent career in the pharmaceutical industry exposed him to different stages of drug development, from late-stage method development and validation to drug substance characterization, purification, and finally discovery-stage separations. That breadth of experience has shaped his view of chromatography as both a scientific discipline and a practical problem-solving tool. In late-stage development, the objective may be a highly robust method capable of successful validation and transfer between laboratories. In discovery, by contrast, speed becomes critical because teams may be working with thousands of molecules while trying to identify the best candidates to advance.&nbsp;<h4>Discovery-stage chromatography: speed, prioritization, and throughput</h4>For a separations team supporting drug discovery, the working day is shaped by a constant flow of requests from medicinal chemistry and other partner groups. The challenge is not simply to perform the analyses, but to decide which requests are most urgent, remove bottlenecks, communicate with project teams, and continuously improve existing workflows.According to Ahmad, one of the most important questions is whether a task can be done faster or in a more high-throughput way. Discovery laboratories operate under strong time pressure, and efficiency therefore becomes part of the scientific strategy rather than merely an operational concern. As he describes it, the work combines science, prioritization, leadership, and communication, all with the aim of moving the most important projects forward as quickly as possible.<h4>In silico modeling: letting the computer perform the experiments</h4>One of the central themes of Ahmad’s work is in silico chromatographic modeling. In practical terms, the approach begins with a carefully designed set of laboratory experiments—often around nine runs. The resulting data are fed into software that builds retention models describing how analyte retention changes with variables such as mobile-phase composition and temperature.The software can then generate a resolution map representing a much larger separation space than could realistically be tested experimentally. Instead of running dozens or hundreds of conditions by trial and error, the analyst can identify regions where critical peak pairs are predicted to achieve the best separation.For Ahmad, the value of these maps goes beyond simply finding the condition with the highest resolution. Each point on the map represents a chromatographic condition, while the visual output shows where poor and strong separations are expected. A broad region of good resolution is particularly useful because it points toward a more robust operating space rather than a narrowly defined optimum that might be sensitive to small variations in experimental conditions.He therefore prefers to think of a chromatographic model as a map or database, rather than simply an optimization tool. If an impurity later disappears from the process, the corresponding peak can be removed from the model and new conditions selected without repeating the complete experimental study. Conversely, if a new degradation product appears during stability studies, the peak can be added and the existing model used to search for updated separation conditions.<h4>Why trial and error still has a place</h4>Modeling does not mean that conventional trial-and-error method development has disappeared. Ahmad points out that it remains useful in early discovery, particularly for fit-for-purpose methods where speed is more important than achieving a fully optimized separation.The situation changes later in development. A method intended for validation, transfer, or long-term routine use carries much greater risk. Trial and error may identify a condition that appears satisfactory without revealing whether it represents the most robust region of the separation space. If that method later fails during transfer or routine operation, the consequences can be costly.For late-stage methods, the additional investment required to build a model can therefore reduce risk over the much longer lifetime of the analytical procedure.<h4>Models are only as good as the experiments behind them</h4>Chromatographic modeling is not automatic proof against poor method development. Ahmad compares the technology to a GPS: it is highly useful, but only if the analyst understands where they are trying to go.Careful experimental design remains essential. Incorrect dwell-volume or column-volume information, as well as insufficient column re-equilibration, can produce misleading predictions. Importantly, these problems may not be obvious when the experimental runs used to construct the model are compared with their calculated values. They may emerge only when the software begins predicting new conditions within the modeled design space.Modeling is also easier for some separations than others. Ahmad describes reversed-phase LC of small molecules as comparatively straightforward, while large biomolecules are more challenging because their retention can be highly sensitive to small changes in mobile-phase composition and temperature.Other separation modes present additional difficulties. Ahmad notes that his teams have found supercritical fluid chromatography (SFC) particularly challenging to model successfully. Fully autonomous method development remains another unresolved goal: current tools can automate parts of optimization, but analyst input is still required.<h4>Why two dimensions can reveal what one dimension cannot</h4>Ahmad’s early interest in 2D-LC came from polymer characterization. He explains the principle simply: one-dimensional chromatography may answer one question about a sample, while two complementary dimensions can answer two.Two copolymers, for example, may have similar molecular size and therefore coelute in size-exclusion chromatography. A second separation mechanism based on interaction with a stationary phase may distinguish them according to chemical composition. Combining both dimensions provides a more complete description of complex distributions involving molecular weight, composition, sequence, and other forms of heterogeneity.Historically, the complexity of both instrumentation and software limited wider adoption of 2D-LC. Ahmad recalls systems requiring several computers and multiple software packages. That situation has improved substantially, and 2D-LC is now easier to implement across research and pharmaceutical development.Nevertheless, modeling multidimensional separations still presents challenges. While models can be built for individual fractions or dimensions, current software does not easily identify a common optimum across multiple models simultaneously. Much of this comparison still requires manual work.<h4>Bringing sustainability into method development</h4>Another area where Ahmad sees room for change is green analytical chemistry.Traditional pharmaceutical method development has understandably prioritized resolution, sensitivity, robustness, and turnaround time. Sustainability has often been treated as a secondary consideration, particularly at the analytical scale, where solvent use appears small compared with preparative chromatography or manufacturing.That mindset is beginning to change. Ahmad argues that greenness metrics should increasingly be incorporated directly into method-development software. If analysts could immediately see how changes in flow rate, gradient conditions, solvent choice, or other parameters affect the environmental profile of a method, sustainability could become part of routine optimization rather than an assessment performed after the method has already been developed.The objective, however, is not to pursue the greenest possible method regardless of analytical performance. Ahmad emphasizes the need to develop methods that are as green as possible while remaining fit for purpose. Modeling can potentially help balance these competing requirements by identifying conditions that preserve separation performance while allowing greener solvents or alternative chromatographic conditions to be introduced.<h4>Advice for young chromatographers: do not treat HPLC as a black box</h4>For students learning chromatography, Ahmad’s central recommendation is straightforward: do not treat the HPLC system as a black box.Rather than collecting chromatograms by making random changes, he encourages analysts to build a mental model of the separation. When temperature, gradient, or another parameter is changed, they should ask why retention or selectivity changed and use each experiment to improve their understanding of the system.He also recommends making use of educational resources on chromatographic fundamentals and method development and, importantly, not being afraid to experiment with instrument conditions. Modern systems are robust, but the analyst still needs to understand the underlying separation science in order to use them effectively.The same proactive attitude applies to career development. Ahmad strongly encourages students to seek industry internships and make connections beyond their own institutions. Conferences and poster sessions can provide natural opportunities to meet scientists from industry, discuss research, and ask about internship opportunities. Based on his own experience working with undergraduate and graduate interns, these collaborations can benefit both students and research teams and may strongly influence later academic or career decisions.<h4>What still needs to be solved?</h4>Asked about the biggest unresolved challenges in separation science, Ahmad does not begin with technology. Instead, he points to a shortage of well-trained analytical chemists with a strong understanding of chromatographic fundamentals.Alongside education, he identifies several technical opportunities. One is truly autonomous method development, where an instrument and software could optimize a separation without continuous analyst input. Another is the ability to predict chromatographic selectivity directly from molecular structure.Such capability could be especially valuable in high-throughput discovery environments. If a laboratory could predict which stationary phase and conditions were most likely to separate a particular set of compounds or isomers before entering the laboratory, method development could become considerably faster and more efficient.Taken together, Ahmad’s perspective points toward a future in which chromatography becomes increasingly model-driven, automated, multidimensional, and sustainability-aware. But the technology does not eliminate the need for chromatographic knowledge. On the contrary, as analytical tools become more powerful, understanding the fundamentals may become even more important—the software can explore the separation space, but the scientist still needs to know what question to ask and how to interpret the answer.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote><blockquote><h4>Concentrating on Chromatography Podcast</h4>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!You can find Concentrating on Chromatography Podcast in podcast apps:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL">Spotify</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185">Apple podcast</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography">podscan</a></li></ul>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos">YouTube channel</a></blockquote>

 In Silico Modeling, 2D-LC & Green Chromatography: Imad Ahmad on the Future of Method Development

Proper care and maintenance of HPLC columns are essential for getting accurate results and saving on replacement costs. Extending the HPLC column life not only ensures consistent performance but also reduces downtime and the need for frequent replacements.Routine maintenance is equally essential for sustaining column functionality. Correct handling of the column is paramount, ensuring strict compliance with the manufacturer’s specifications regarding pressure, pH, flow rate, and temperature.In the next section, we will explore these best practices in greater detail, offering further guidance on essential HPLC column maintenance strategies. Whether you’re working in a high-throughput lab, or conducting occasional analyses, these strategies will help you get the most out of your <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products?category=48&amp;manufacturerItems=50">HPLC columns</a>.<h3>Essential Guidelines for Extending HPLC Column Life</h3>By adopting these simple yet effective practices, you can greatly extend the HPLC column life while ensuring reliable, high-quality results in your analyses.<h4>Proper Column Handling</h4>HPLC columns should be handled with care to prevent physical damage or shock. The pump should not be started at high flow rates; instead, the flow rate should be gradually increased over several minutes. A pump pressure limit should be set to protect the column from over pressuring, as sudden pressure changes can lead to voids, negatively affecting the column’s performance.<h4>HPLC Column Conditioning and Equilibration</h4>Conditioning is a critical step for preparing a new or stored HPLC column by replacing the storage solvent with the desired mobile phase. Care must be taken to avoid introducing immiscible solvent mixtures into the column. Universally miscible solvents such as THF (tetrahydrofuran) or IPA (isopropyl alcohol) can be useful for this process when moving from normal phase to reversed phase solvent systems. Care must also be taken to ensure that solvents that may be damaging to a specific stationary phase are avoided.For example, if a reversed-phase column experiences phase collapse due to 100% aqueous mobile phases, it should be reactivated. This process involves running 100% acetonitrile at a high flow rate and a temperature as high as 60°C. It is essential to ensure no solid buffers precipitate from residual solvents. Depending on the column condition, between 50 and 100 column volumes are needed for complete reactivation and equilibration, restoring the column’s efficiency for future use.<h4>Optimizing Operating Conditions</h4>Optimizing operating conditions is paramount to enhancing HPLC column efficiency and prolonging their operational lifespan. A fundamental aspect of this is strict adherence to the manufacturer’s recommended temperature, pH and pressure parameters.Deviating from these limits, particularly by operating at elevated temperatures, can significantly hasten the degradation of the stationary phase and hardware, thereby compromising overall performance. Elevated temperatures can also narrow the pH operating range, exacerbating the risk of column degradation through phenomena such as peak broadening or diminished efficiency.Effective pressure management is equally crucial. Sudden pressure surges or mechanical shocks can result in bed voiding, leading to poor chromatographic performance, such as split peaks and reduced separation efficiency. Gradual ramping of flow and pressure, implemented each time the column is initiated, mitigates these risks. Many modern HPLC systems are equipped with automated flow-pressure ramping capabilities, ensuring smoother transitions and reducing the potential for column damage.In addition, vigilant monitoring of the mobile phase's pH is vital to the maintenance of HPLC column integrity. Deviations from the optimal pH range can cause significant harm to the stationary phase. For instance, leads to ligand hydrolysis which leads to a loss of stationary phase functionality and diminished column performance over time. High pH can lead to silica degradation. This weakens the silica structure, causing particle dissolution, void formation, and loss of column efficiency. Maintaining the pH within optimal boundaries is essential for preserving the column’s structural integrity and ensuring consistent chromatographic performance.Furthermore, incorporating inline filters and guard columns into the system serves as a proactive measure to prevent particulates and harsh sample matrices from damaging the analytical column. These preventive tools significantly enhance operational conditions and safeguard the column from contamination, ultimately contributing to extended HPLC column lifetime and reliable performance.<h4>Regular Column Maintenance</h4>Effective routine maintenance is paramount to extending the HPLC column lifetime and ensuring the consistent performance of HPLC columns. A critical aspect of this maintenance is the thorough washing of the column after each use to eliminate residual sample components and mobile phase contaminants.The cleaning process generally involves performing an isocratic or gradient wash using a solvent system similar to the one previously used on the column but substituting the buffer with HPLC-grade water. This helps effectively remove any residual buffer components from the column. This meticulous cleaning process is vital to preventing the accumulation of impurities that could compromise the stationary phase and lead to decreased efficiency over time.Post-cleaning, it is imperative to end-cap the column before storage to prevent the stationary phase from drying out, a condition that can negatively impact the column’s future performance. Proper capping or sealing ensures that the column remains in optimal condition, safeguarding its structural integrity and readiness for subsequent analyses.Additionally, utilizing an older HPLC system as a dedicated wash station can further streamline maintenance practices, freeing up live systems for active use. Consistently adhering to a rigorous cleaning and storage regimen not only enhances the longevity of HPLC columns but also guarantees the delivery of precise and reliable analytical results.For severe contamination or pressure buildup, backflushing may be necessary to dislodge tightly bound contaminants. However, backflushing should only be performed when absolutely necessary, as it can stress the column packing material. It is essential to consult the manufacturer’s instructions before attempting this method.

How to Extend the Lifetime of HPLC Columns?

Researchers from CATRIN at Palacký University, together with colleagues from VSB – Technical University of Ostrava and Charles University, have developed a new graphene ink for producing inexpensive and sensitive printed sensors. Using single-atom engineering, they incorporated copper atoms into the material, enabling highly sensitive detection of dopamine – a neurotransmitter responsible for transmitting signals between nerve cells. The approach, <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">presented in the journal Advanced Science</a>, has strong potential for use in medical diagnostics.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_8a02ad6a66.webp 117w," sizes="100vw" width="1920" height="2560">Single-atom engineering makes it possible to control the chemical reactivity of materials at the level of individual atoms. Its broader application in medical diagnostics has so far been limited by a lack of atomically engineered materials and printable inks based on them. Researchers have now developed a new class of single-atom-doped graphene materials as well as an ink for producing sensitive printed sensors. Copper proved particularly effective for dopamine detection, which is important for biomedical research and the development of advanced diagnostic technologies for diseases including Alzheimer’s disease.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_2_97e419f039.webp 117w," sizes="100vw" width="1920" height="2560">“The NGA-Cu ink we developed enables the production of fully inkjet-printed, sustainable paper-based electrodes at very low cost. Each sensor requires only 1.3 micrograms of active ink, costs approximately one Czech koruna and provided a stable response for at least three months. The ink is also fully compatible with commonly available materials inkjet printers. This creates significant potential for producing affordable, digitally designed sensors whose function can be tailored atom by atom,” said&nbsp;the corresponding author of the <a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">paper</a> Michal Otyepka.The basis for this new generation of single-atom inks was nitrogen-doped graphene acid (NGA), which CATRIN researchers developed several years ago. They have now progressively enriched it with different individual metal atoms, including copper, iron and manganese.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_3_c15d831792.webp 117w," sizes="100vw" width="1920" height="2560">“We found that the electrochemical response depends fundamentally on the type of atom used. While copper atoms significantly enhance the dopamine signal, other metals suppress it. What matters, therefore, is not only the presence of isolated metal atoms but also the specific metal involved. This is a very important finding for the further development of biosensors,” explained first author Martin-Alex Nalepa.The published results introduce a new class of sensing materials with considerable potential for medical diagnostics. The researchers present a broadly applicable platform for developing graphene inks containing individual metal atoms and open the way towards scalable, reproducible and material-efficient production of advanced electrochemical sensors.&nbsp;“We are only at the beginning and are fascinated by the new possibilities opening up before us. We can see that by changing the type of atom, we can control the sensitivity and selectivity of the sensor. In addition to dopamine, we can also determine immunoglobulins very precisely – antibodies whose levels and types may serve as important indicators of autoimmune or infectious diseases,” emphasised Radek Zbořil, a co-author of the paper.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_4_273cd760a5.webp 117w," sizes="100vw" width="1920" height="2560">Electrochemical biosensors can find applications not only in medicine but also in food quality control, drinking-water monitoring and environmental pollution monitoring. Their key components are functionalised electrodes, and graphene-based materials have proved particularly suitable for their production. A key factor in the success of the Olomouc researchers was the targeted preparation of graphene ink with the required properties.The research was supported by the TECHSCALE project under the Johannes Amos Comenius Programme.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg" alt="CATRIN: Atom by atom. Scientists reveal a new direction in medical diagnostics: Project TECHSCALE (No. CZ.02.01.01/00/22_008/0004587) is financed by the MEYS OP JAC Excellent research programme, supported by ERDF/ESF." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Atom_po_atomu_Vedci_ukazali_novy_smer_v_lekarske_diagnostice_5_b1778f77f2.jpg 245w," sizes="100vw" width="620" height="87"><blockquote><h4>Article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.76796">Single-Atom-Enhanced Fully Inkjet-Printed Electrochemical Sensor for Dopamine Detection</a></h4>Martin-Alex Nalepa, David Panáček, Vítězslav Hrubý, Matěj Jendřišák, Rostislav Langer, Michal Langer, Petr Jakubec, Ivan Dědek, Vojtěch Kupka, Michal Mazur, Radek Zbořil, Michal OtyepkaAdv. Sci., 2026, e76796<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1002/advs.76796">https://doi.org/10.1002/advs.76796</a><h6>licenced under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote><h4>Abstract</h4>Single-atom (SA) engineering offers atomic-level control over interfacial reactivity, yet the lack of printable SA-based inks hinders its practical translation into electrochemical sensing. Here, a fully water-based inkjet-printable ink is introduced based on nitrogen-doped graphene acid (NGA) hosting atomically dispersed Cu centers (NGA-Cu-ink). The ink enables digitally controlled, spatially defined deposition and fabrication of low-cost ($0.04 per sensor), fully inkjet-printed sustainable electrodes on paper. A comparison of NGA functionalized with different SA dopants (Cu, Mn, Fe, Ce) identifies a strong dopant-dependent electrochemical response, with Cu uniquely enhancing the analyte signal while other dopants suppress it, demonstrating that SA identity is a decisive design parameter in printed sensing interfaces profiling sensitivity and selectivity. The functional role of the NGA support is to provide dense anchoring sites (nitrogen and carboxylate groups) that stabilize atomically dispersed metal centers and create adsorption- and electron-transfer–active microenvironments. The NGA-Cu-ink yields enhanced dopamine oxidation, enabling quantitative detection on fully printed devices (limit of detection 9.7 µM; linear range 50–400 µM) and printed-on-electrode platforms (10.6 µM), while maintaining &lt;10% signal variation over 11 weeks. The approach establishes a general route to single-atom graphene-based inks for scalable, reproducible, and low-material-consumption manufacturing of advanced electrochemical sensors.

Atom by atom. Scientists reveal a new direction in medical diagnostics

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The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

CATRIN

Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers in industrial, government and academic laboratories.

Phenomenex

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

Separation Science

Agilent Technologies

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Thermo Fisher Scientific

SelectScience

Waters Corporation

Applications in the world of UV-Vis instrumentation range from the simple routine measurement (i.e. absorbance at a single wavelength) to the more complex (i.e. thermal melts or in situ absorbance vs time measurements).
The focus of Part I of this two part series will be on entry level and the mid-performance instrumentation and what is needed to make a variety of measurements.
<blockquote>
Presenter. Mark Fisher, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Mark, an Application Scientist for Agilent Technologies, has over 35 years of experience in molecular spectroscopy. He has held roles in Agilent&#39;s UV-Vis-NIR, fluorescence, and atomic absorption product portfolios. In addition to identifying industry trends and new business needs, Mark&#39;s responsibilities include application development, pre and post-sales support, as well as acting as a customer advocate for new product and technology opportunities. Mark received his doctorate in analytical chemistry from the University of Nebraska-Lincoln.
</blockquote>

Agilent technologies: UV-Vis Instrumentation: From Routine to Advanced Applications

UV-Vis Instrumentation: From Routine to Advanced Applications

Entry level and the mid-performance instrumentation and what is needed to make a variety of measurements.

UVVis Instrumentation: From Routine to Advanced Applications

Key Learning Points:
<ul>
<li>Understand how to obtain good resolution by utilizing selectivity
</li>
<li>Learn the basics of different stationary phase particle characteristics 
</li>
<li>Discover how to choose different stationary phases based on compound classes
</li>
<li>Find how mobile phase can be used to change selectivity of columns
</li>
</ul>
Who Should Attend:
<ul>
<li>Any LC users who are looking for are looking for a basic overview of Reverse Phase Method Development by looking at different small molecule compound classes</li>
</ul>
<blockquote>
Presenter: Genevieve Hodson (Senior Application Scientist, Phenomenex)
</blockquote>
<blockquote>
Genevieve graduated from the University of Texas with a BS in Chemistry located in her home town of Austin Texas. She spent 2 years of her undergraduate performing research in an Organic Chemistry Lab synthesizing intermediates. Out of school she spent 4 years as an Analytical Chemist in the QC and R&amp;D Department of Cerilliant (a Sigma Millipore Company). There she worked with many analytical instruments but became an expert at LC by performing purity analysis, customer specific methods, validations, qc testing and stability studies on a wide range of small molecules including pharmaceuticals, pesticides, explosives and illegal substances. From there she moved to Los Angeles California where she worked at Johnson and Johnson and then a small dietary supplement company. After Genevieve spent a year living abroad in Israel raising her first son, she moved back to LA where she got hired as a Technical Specialist at Phenomenex. At Phenomenex she enjoys continuing to learn about chromatography every day through helping customer with all their chromatography needs!
</blockquote>

Phenomenex: Understanding Reverse Phase Selectivity for Different Compound Classes

Understanding Reverse Phase Selectivity for Different Compound Classes

Understand how to obtain good resolution by utilizing selectivity.

Understanding Reverse Phase Selectivity

Antisense oligonucleotide therapeutics (ASOs) have realized tremendous success over the last twenty years in the management of previously untreatable diseases.
Therapeutic ASOs and siRNA are typically very potent therapeutics that present significant challenges in their isolation and quantitation out of biological fluids and tissues. Two groundbreaking solutions from Phenomenex; Clarity OTX and Biozen Oligo have become the key in the development of analytical methods for oligonucleotide therapeutics.
Key Learning Points:
<ul>
<li>Understand how Clarity OTX works in isolating oligonucleotides from biological matrices.
</li>
<li>Learn about antisense oligonucleotide structures and the challenges in isolating them from biological matrices.
</li>
<li>Discover how to optimize isolation solutions for specific oligos and matrices of interest.
</li>
</ul>
Who Should Attend:
<ul>
<li>Any scientists who are interested in learning more about strategies for optimizing oligonucleotide isolation and analytical analysis.</li>
</ul>
<blockquote>
Presenter: Michael D McGinley (Director, Global Applications, Phenomenex)
</blockquote>
<blockquote>
Michael McGinley is the director of Phenomenex’s global application laboratories in charge of generating scientific content supporting the company’s product portfolios in the clinical, food, environmental, and biopharmaceutical industries. Over his 20 years at Phenomenex, Michael has served in various product development, marketing, and technical management roles. He managed the development and commercialization of numerous products including its award-winning Gemini and Clarity product lines. Before Phenomenex, Michael was at Amgen where he held several positions over a dozen year span, including Associate Scientist, Project Manager, and Laboratory Head. Michael received his degree in Biochemistry from the University of California at Berkeley and was one of the early proteomics innovators where he helped establish the pioneering program at Amgen. Michael is a recognized chromatography expert and long-serving member of the editorial advisory board of LC/GC magazine. His fields of expertise include HPLC method development, proteomics, oligonucleotide chemistry, and protein characterization with over a hundred publications in the respective fields.
</blockquote>

Phenomenex: Advances in Oligonucleotide Sample Preparation and Analysis

Advances in Oligonucleotide Sample Preparation and Analysis

Understand how Clarity OTX works in isolating oligonucleotides from biological matrices.

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: James Dodds, PhD (University of North Carolina)
</blockquote>

Agilent Technologies: Innovative Data Analysis Strategies for Advancing Ion Mobility MS Workflows featuring Skyline, HRdm High Resolution Demultiplexing, and MetaboAnalyst

Innovative Data Analysis Strategies for Advancing Ion Mobility MS Workflows featuring Skyline, HRdm High Resolution Demultiplexing, and MetaboAnalyst

Innovative Data Analysis Strategies for Advancing Ion Mobility MS Workflows featuring Skyline, HRdm High Resolution Demultiplexing, and MetaboAnalyst.

Strategies for Advancing Ion Mobility MS Workflows

Monitoring the disinfection byproducts (DBPs) provides essential data to optimize drinking water treatment processes and is critical for compliance with drinking water regulations.
In this webinar, hear Mark Collins, the research and development manager at Northern Ireland Water, present his water catchment profiling study using high-resolution accurate mass spectrometer (HRAM) to screen for unknown disinfection byproducts (DBPs).
Mark&#39;s study initially started with monitoring known contaminants (Acid herbicides). However, following a succession of weather incidents in the catchment area under investigation, this study evolved into investigating the formation of potentially harmful DBPs resulting from the interaction of dissolved organic carbon and water treatment. Mark&#39;s talk is a short look at the present with a solid view for the future.
Learning points:
<ul>
<li>Workflows for unknown contaminant screening
</li>
<li>Generate more data from one injection
</li>
<li>Using HRAM to exceed water regulation requirements
</li>
</ul>
Who should attend:
<ul>
<li>Environmental water testing laboratories
</li>
<li>Laboratory scientists and technicians using LC-MS
</li>
<li>Water and environmental analytical chemistry laboratory managers
</li>
</ul>
<blockquote>
Presenter: Mark Collins (R&amp;D Manager, Northern Ireland Water)
</blockquote>
<blockquote>
Mark Collins has worked in the water industry for over 15 years. He is currently the R&amp;D Manager for Northern Ireland Water where he is focusing on new emerging areas of concern and innovative technologies to support our analytical service provision at NI Water. Mark’s interests are primarily in trace analysis of both organic and inorganic pollutants as well as the study of the creation disinfection by-products, their proliferation and effects on the wider water networks.
</blockquote>

Thermo Scientific: Non-targeted screening to assess drinking water treatment

Non-targeted screening to assess drinking water treatment

Water catchment profiling study using high-resolution accurate mass spectrometer (HRAM) to screen for unknown disinfection byproducts (DBPs).

The quality by design (QbD) approach in analytical method development emphasizes risk management and comprehensive scientific approach.
Its application in analytical method lifecycle helps to increase the robustness and ruggedness of methods compared to traditional method development approaches. Furthermore, the United States Pharmacopeia (USP) Chapter &lt;1220&gt; provides the framework for the implementation of QbD principles around analytical method. USP &lt;1220&gt; emphasizes the importance of sound scientific approaches and quality risk management for the development, control, establishment and use of analytical procedures.
In this webinar, Dr. Rajagopal Karuppuswamy, Vice President of analytical servies at Nephron Pharmaceuticals Corporation and Manu Grover, business development manager of pharma markets at Agilent Technologies will discuss the concept of QbD in reference to analytical development, the steps required to implement QbD, recent regulations in this area, and the benefits of adopting QbD.
Key learning objectives
<ul>
<li>Learn about the implementation of QbD in research labs and the analytical development process
</li>
<li>Gain insight into improving method robustness and implementing risk assessment approaches during analytical development
</li>
<li>Explore the steps required to comply with regulatory guidelines and the lifecycle management approach
</li>
</ul>
Who should attend?
<ul>
<li>Analytical scientists
</li>
<li>Lab managers
</li>
<li>Regulatory experts
</li>
<li>R&amp;D heads
</li>
<li>Quality control scientists/managers
</li>
<li>Quality assurance experts
</li>
</ul>
<blockquote>
Presenter: Dr. Rajagopal Karuppuswamy (Vice President - Analytical Services, Nephron Pharmaceuticals Corporation, West Columbia, South Carolina)
</blockquote>
<blockquote>
Dr. Raja Karuppusamy gained his MS in pharmaceutics and PhD in analytical chemistry from the University of Delhi, India. He has over 20 years’ experience in the pharmaceutical industry. He is currently working as the Vice President of Analytical Services with the Nephron Pharmaceuticals Corporation in South Carolina. He has extensive experience with various regulatory agencies such as the Food and Drug Administration, Medicines and Healthcare products Regulatory Agency, and the Brazilian Health Regulatory Agency (Anvisa). He has published over 20 research papers and has contributed toward multiple USP monographs.
</blockquote>
<blockquote>
Presenter: Manu Grover (Business development manager – Pharma markets, Agilent Technologies)
</blockquote>
<blockquote>
Manu Grover is a postgraduate in pharmacy from the Manipal Academy, India. He has 21 years of chromatography experience and has worked in pharmaceuticals to support investigational new drug applications, new drug applications and abbreviated new drug application filings. During his career, he has developed and validated analytical methods on HPLC, GC, particle sizing, DSC, pXRD and LC/MS. In his current role he works with the Agilent sales team, regulators and pharmaceutical scientists. He shares market updates, trends and expertise related to Agilent’s portfolio of columns supplies, and helps to ensure scientists select the right solutions for their lab.
</blockquote>
<blockquote>
Presenter: Blake Forman (Scientific Content Creator, SelectScience)
</blockquote>
<blockquote>
Blake studied chemistry at the University of Surrey, UK, and further went on to study a master’s in chemistry at the University of Southampton, UK. Blake has previously worked in the Medicines and Healthcare Products Regulatory Agency (MHRA) lab at LGC and as a technical sales specialist for Waters. As a member of the Editorial team, he now plays an integral role in shaping the content on SelectScience.
</blockquote>

SelectScience: Analytical method development: A quality by design (QbD) approach

Analytical method development: A quality by design (QbD) approach

Concept of QbD in reference to analytical development, the steps required to implement QbD, recent regulations in this area, and the benefits of adopting QbD.

Analytical method development: A quality by design approach

There are hundreds of drug candidates to screen for purity, integrity and stability during early drug development, which can become a considerable bottleneck.
High-throughput analytical platforms and fast analysis methods are attractive approaches to address high sample volume issues. CE-SDS is a widely recognized workflow for the determination of purity in protein and gene therapy products. However, a major limitation of this method is its low throughput, resulting in highly inefficient method development and optimization when onboarding new molecules.
This webinar discusses how to assess the purity of mAb and viral vector samples using a capillary electrophoresis-based strategy that enables a significant reduction in turnaround time without compromising data quality. 
Attend this webinar to:
<ul>
<li>Learn about rapid method development for new modalities
</li>
<li>Discover reproducible characterization of impurities
</li>
<li>Enable an eight-fold increase in throughput
</li>
</ul>
<blockquote>
Presenter: Andy Blum (Scientist, Biogen)
</blockquote>

Technology Networks: Tackling Analytical Bottlenecks in Next-Generation Drug Development

Tackling Analytical Bottlenecks in Next-Generation Drug Development

How to assess the purity of mAb and viral vector samples using a capillary electrophoresis-based strategy.

Tackling Analytical Bottlenecks

How can you maximize the productivity of your trusted Waters liquid chromatography (LC) systems?
With the easy-to-use Waters Automation Portal, you will be able to automate your ACQUITY and Arc UPLC, UHPLC, and HPLC Systems to reduce time spent on tedious manual procedures, minimize errors, and making your LC and LC-MS workflows more efficient.
In this webinar, hear from Waters partners who will explain how installing the Automation Portal onto their ACQUITY and Arc Sample Managers simplified sample transfer, allowing their scientists to focus on the science instead of tasks.
The Automation Portal is configurable with a wide range of Waters LC and LC-MS systems, reduces space needed for plate loading and transfer, enables automation scheduling with specially designed software, and conveniently works with your preferred integrator to fit into your established workflows.
Join our webinar to see how to streamline your workflows and achieve the quality and consistency your lab demands from its automation partner.
<blockquote>
Presenter: Darcy Shave (Principal Product Manager, Waters Corporation)
</blockquote>
<blockquote>
Darcy Shave is currently a principal product manager in the Small Molecules group at Waters Corporation (Milford, MA, USA), responsible for the purification and hardware automation products. Darcy has been with Waters for over 20 years, starting as an applications chemist in the purification group. From there, he moved into a variety of business development roles before becoming a product manager for purification software about 10 years ago and more recently for the entire purification portfolio. He has a degree in Agricultural Chemistry from the University of Saskatchewan and worked in value added processing of natural products before joining Waters.
</blockquote>
<blockquote>
Presenter: John Canty (Technical Trainer, Biosero)
</blockquote>
<blockquote>
John Canty is the Technical Trainer at Biosero where he educates scientists, automation engineers, and developers in automation solutions. With 19 years of experience in automation, John has held engineering roles at many other companies within the industry, including HighRes Biosolutions, Labcyte, Beckman Coulter, Zymergen, and Illumina. Throughout his career, he has been responsible for the concept, design, programming, and testing of automated equipment and processes. He now uses his expertise to teach others how to master automation software and technology for their own work.
</blockquote>

Waters Corporation: Automate and Streamline Your Lab’s LC and LC-MS Workflows

Automate and Streamline Your Lab’s LC and LC-MS Workflows

We will explain how installing the Automation Portal onto ACQUITY and Arc Sample Managers simplified sample transfer.

Multi-residue pesticide analysis presents plenty of challenges on its own, but the expanded matrix list and harmonization of a global company takes it to the next level. We will discuss some of the issues we have faced and the paths taken to address them — with mostly favorable outcomes and a few hard lessons learned.
By attending this webinar you will learn about:
<ul>
<li>NQAC Dublin’s approach to screen over 450 pesticides</li>
<li>Comparison of residues commonly observed versus FDA reporting</li>
<li>Options for problematic matrices</li>
<li>Reference material “Watch outs”</li>
<li>Method portfolio expansion to accommodate customer needs</li>
<li>Changing regulations - local versus global needs</li>
</ul>
<blockquote>
Presenter: Andrew Savage (Expert Chemist, Nestle Quality Assurance Center)
</blockquote>
<blockquote>
Andrew Savage is an Expert Chemist at Nestle Quality Assurance Center in Dublin, Ohio, where he leads projects for new analyses and technology scouting. His focus has been chemical contaminants in food and he was previously the Supervisor of the Contaminants Laboratory, where he managed the performance of 40 trace-level analytical methods. He has 25 years of experience in analytical laboratories within academia, contract research, and in the food industry, working primarily in mass spectrometry. He holds a Bachelor of Science from Mount St. Joseph University in Cincinnati Ohio, PCQI certification, and enjoys sailing in his free time.
</blockquote>
<blockquote>
Presenter: Angela Simon (Pesticides Chemist, Nestle Quality Assurance Center)
</blockquote>
<blockquote>
Angela Simon is a Chemist at Nestle Quality Assurance Center in Dublin, Ohio where she started in the vitamins department and now works in the contaminants department. She works on most, if not all of the pesticide methods at NQAC along with many other methods. She has approximately 18 years of experience in analytical laboratories within environmental, pharmaceutical and the food industry, primarily working with mass spectrometry. She holds a Bachelor of Science degree from West Liberty University in West Liberty, West Virginia and enjoys playing guitar, playing/watching sports, reading, and hiking with her three dogs in her spare time.
</blockquote>

SCIEX: Challenges and solutions while performing pesticide analysis for the world’s largest food and beverage company

Challenges and solutions while performing pesticide analysis for the world’s largest food and beverage company

We will discuss some of the issues we have faced and the paths taken to address them — with mostly favorable outcomes and a few hard lessons learned.

Pesticide analysis for the food and beverage company

Amino Acid Analysis is required in many applications related to foods, dietary supplements and animal feeds and is a fundamental tool for monitoring product QC and compliance with nutritional labeling.
AOAC International has recently published a standardized method (AOAC Official Method 2018.06) for the analysis of total amino acids in infant formulas and adult nutritionals by UHPLC-UV. For some samples, to obtain a full amino acid profile, the samples must first be hydrolyzed. Due to the varied properties of amino acids and diversity of sample matrices, hydrolysis, separation and detection represents an analytical challenge. Learn more about effective hydrolysis, separation and detection of amino acids in dietary supplements, plant-based meats, and pet food during a 3-part webinar series with CEM and Waters.
<blockquote>
Presenter: Alicia Douglas Stell, Ph.D. (Market Development Manager, Applied Markets, CEM Corporation)
</blockquote>
<blockquote>
Dr. Alicia Douglas Stell has worked with CEM for the past 15 years, joining after completing her PhD in Analytical Chemistry. Her extensive background in chromatographic analysis and her mechanical expertise have been integral in the development of both instrumentation and novel applications. In her role as Market Development Manager, she is continuously exploring new applications and markets for innovative technology, focused around sample preparation.
</blockquote>
<blockquote>
Presenter: Benedict Liu (Product Specialist, Organic Solutions, CEM Corporation)
</blockquote>
<blockquote>
Benedict Liu graduated from UNC Chapel Hill in 2018 with a bachelor&#39;s degree in chemistry and mathematics. He joined CEM soon after and has been with the company for 5 years serving as an applications chemist and product specialist for the Molecular Sample Preparation division. In his time at CEM, Ben has worked to develop solutions for the extraction of organic pollutants in soils and product, microwave amino acid hydrolysis protocols, and automated extraction methods for PFAS in solid and semi-solid matrices.
</blockquote>
<blockquote>
Presenter: Paula Phenix (Principal Product Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Paula is a Principal Product Marketing Manager at Waters with a focus on products for amino acid and glycan analysis. Prior to her current role in the Chemistry and Lab Automation Group, she was the Product Marketing Manager for Specialty LC and SFC Systems in the Instruments group. Before joining Waters, she held product management, marketing and sales roles for several companies (Life Technologies, Promega, MilliporeSigma) in the molecular biology, immunology, cell culture and single-use bioprocessing areas. Paula graduated from the University of Delaware with a Bachelor’s degree in Biology and from Johns Hopkins University with a Master’s degree in Business.
</blockquote>
<blockquote>
Presenter: Ravali Alagandula, Ph.D. (Chemistry Market Development Manager, Waters Corporation)
</blockquote>
<blockquote>
Ravali is a Chemistry Market Development Manager at Waters with focus on all chemistry consumables and lab automation products. She holds a Ph. D. in Analytical Chemistry from Cleveland State University. She started her career as an LC applications scientist at Restek, developing LC-MS/MS and sample preparation methods in clinical and life science markets. Most recently, Ravali was a Chemistry Account Manager at Waters supporting key accounts and customers to promote chemistry consumable business in all market areas.
</blockquote>

Waters Corporation: Easy & Efficient Amino Acid Sample Prep followed by Accurate Detection - a look at Plant-based Meats and Proteins

Easy & Efficient Amino Acid Sample Prep followed by Accurate Detection - a look at Plant-based Meats and Proteins

Learn more about effective hydrolysis, separation and detection of amino acids in dietary supplements, plant-based meats, and pet food.