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

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

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

How to Extend the Lifetime of HPLC Columns?

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

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

Article

Academy

Scientists

Interview

Science and research

Video

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

CATRIN

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

Phenomenex

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

Organomation

Separation Science

Agilent Technologies

PerkinElmer

SelectScience

C&EN

Over the past 20 years the biopharmaceuticals industry has developed around 700 new medicines approved by the FDA and currently there are around 7800 under development. This includes biologics license applications (BLAs) where innovation is bringing many first-in-class medicines. Greater molecular complexity, particularly in these biologics, has led to new thinking in regulatory guidance for development and manufacture to bring safe and efficacious drugs to patients.
A critical challenge in development and manufacture of biologics is impurity profiling; this includes both product and process related impurities (e.g., modified forms, aggregates, cell substrate/culture derived). This has far-reaching implications, particularly in impurity classes such as those that may be mutagenic, genotoxic or immunogenic, in setting specifications and acceptance criteria. A current example is nitrosamines which, in some cases, has had an impact on the ability for the industry to supply safe medicines.
At the heart of solving this challenge for biologics are analytical technologies that can identify, characterize and quantify impurities, and support decision-making throughout the life-cycle for drug development and manufacture.
The focus for this forum discussion will be impurity profiling in the development and manufacture of therapeutic proteins. Industry and regulatory experts will share their insights into the technologies and methods for developing an impurity control strategy. The topics will include:
<ul>
<li>The sources of product and process related impurities and their impact on stability and efficacy.
</li>
<li>Understanding the pathways for impurity formation.
</li>
<li>The impact of processes on impurity profiles, for example glycosylation of proteins, aggregation during synthesis and purification.
</li>
<li>Current and emerging technologies, methods and strategies for impurity profiling.
</li>
<li>Current and unmet capabilities for in-process monitoring and control such as technology for HCPs.
</li>
<li>Current regulatory guidance and expectations from the regulatory authorities.
</li>
</ul>
<blockquote>
Presenter: Ejvind Mørtz (Co-Founder &amp; COO, Alphalyse, Denmark) 
</blockquote>
<blockquote>
Presenter: Weibin Chen (Head, Analytical Chemistry, Shanghai Asymchem Biologics Co., Ltd.)
</blockquote>
<blockquote>
Presenter:Martha Stapels (Associate Director, Sanofi)
</blockquote>
<blockquote>
Presenter: Jared Auclair (Northeastern University, USA)
</blockquote>
<blockquote>
Presenter: Ernie Hillier (EJH Consulting, USA)
</blockquote>

Pixabay/Gerd Altmann: Current and Emerging Methods and Strategies for Biotherapeutic Impurity Profiling

Current and Emerging Methods and Strategies for Biotherapeutic Impurity Profiling

An expert presentation and discussion event covering impurity profiling in the development and manufacture of therapeutic proteins.

Methods and Strategies for Biotherapeutic Impurity Profiling

Aqueous film forming foam (AFFF) is an effective fire suppressant for petroleum-based fires. Foams are primarily composed of complex mixtures of per- and polyfluorinated substances (PFAS), but the exact composition is protected business information. Identification of PFAS using High–resolution mass spectrometry (HR-MS) only utilizes the accurate mass and isotope pattern of the molecular ion and is not robust as formulas do not provide structural information.
Fragment ions from MSMS spectra can greatly improve identification confidence with software tools such as Fluoromatch. Data dependent acquisition (DDA) is a common tool used to acquire MSMS spectra when the composition is unknown. 
In this study, three approaches based on DDA acquisition for the MSMS fragmentation of fluorinated compounds were optimized and compared.
<blockquote>
Presenter: Emily Parry, PhD (LC/MS Applications Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Emily Parry received her PhD degree in Environmental Chemistry from the University of California, Davis. She joined Agilent after completing her postdoctoral work at the Environmental Protection Agency (EPA). Her specialty is method development and measurement of emerging contaminants.
</blockquote>

Agilent Technologies: Comparison of High-Resolution Data Dependent MSMS Strategies for Best Precursor Coverage of Aqueous Film Forming Foam Formulations

Comparison of High-Resolution Data Dependent MSMS Strategies for Best Precursor Coverage of Aqueous Film Forming Foam Formulations

In this study, three approaches based on DDA acquisition for the MSMS fragmentation of fluorinated compounds were optimized and compared.

MSMS Strategies for Aqueous Film Forming Foam Formulations

Biorepository labs need to prioritize sample quality and viability. The responsibility of gathering, storing, tracking and shipping high-quality specimens is crucial to both the integrity, efficiency and outcome of the scientific study. The need to do so in compliance with regulatory requirements, is equally as imperative.
The task of ensuring robust and reproducible sample results to meet stakeholders’ expectations and industry standards, means biorepositories (and biobanks) have come to rely on the support of a long-established digital LIMS solution like Thermo Scientific™ SampleManager ™ LIMS software - so they can concentrate more on continuing to advance clinical and translational scientific research and less on worrying about data integrity or conformance.
As a pre-configured software solution providing biorepositories with industry-leading laboratory, process and data management capabilities, SampleManager LIMS software is an implementation and validation accelerator. Its out-of-the-box features and functionality, coupled with Thermo Fisher Scientific’s end-to-end support and workflow solutions, means return on investment is expedited and project risk is reduced.
To learn more, please join Javier Fraile, Solutions Manager and biorepository solutions expert at Thermo Fisher Scientific, as he discusses how the pre-configured capabilities of the SampleManager Biorepository solution can best support the critical biological material management in your biorepository lab.
<h5>Attend this webinar to learn about:</h5>
<ul>
<li>End-to-end solutions available to support your biorepository sample workflow</li>
<li>How to increase your return on investment and reduce project risk</li>
<li>The value of implementing trusted software solutions into your laboratory and workflows</li>
<li>The capabilities and benefits of Thermo Fisher Scientific’s pre-configured biorepository solution</li>
</ul>
<blockquote>
Presenter: Javier Fraile (Solutions Manager for Digital Science Solutions, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Javier Fraile has more than 14 years of experience in the LIMS sector: he started his career off focusing on support and services before moving into the solutions side of the business in 2021. His current role focuses on building, supporting, and delivering pre-configured software solutions to support customer needs in a variety of industries in a global capacity.
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Pixabay/Tatiana: End-to-end Solutions for the Complete Biorepository Sample Workflow

End-to-end Solutions for the Complete Biorepository Sample Workflow

How the pre-configured capabilities of the SampleManager Biorepository solution can best support the critical biological material management.

End-to-end Solutions for the Biorepository Sample Workflow

The next generation of medicines will rely heavily upon our ability to quickly assess the structures and stabilities of complex macromolecular machines, as well as the influence of large libraries of conformationally-selective small molecule binders and protein-based biotherapeutics. Such endeavours are nearly insurmountable with current tools.
In this presentation, I discuss recent developments surrounding collision induced unfolding (CIU) methods that aim to bridge this technology gap. CIU uses ion mobility-mass spectrometry (IM-MS) to measure the stability and unfolding pathways of gas-phase proteins, without the need for covalent labels or tagging, and consuming 10-100 times less sample than almost any other label-free technology.
Recent developments in high-throughput CIU screening methods, their ability to track alterations in biomolecular structure as a function of stress, and software developments that seek to enhance CIU information content will be discussed. Furthermore, our efforts that have led to the development of the Agilent 6560C drift tube IM-MS platform will be discussed, focusing on the performance of this platform for applications associated with native IM-MS and CIU.
<blockquote>
Presenter: Brandon T. Ruotolo, Ph.D. (University of Michigan)
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<blockquote>
Brandon T. Ruotolo is currently a Professor in the Department of Chemistry, University of Michigan. He earned his B.S. in Chemistry from Saint Louis University in 1999. Brandon then received his Ph.D. from Texas A&amp;M University in 2004 under the direction of David H. Russell. He did his post-doctoral work at the University of Cambridge with Dame Carol V. Robinson, and was awarded the first ever Waters Research Fellowship in 2008. Brandon moved to the University of Michigan in 2009, where he began his independent career. The Ruotolo research group at the University of Michigan seeks to enable breakthroughs in structural biology and drug discovery by leveraging the potential of ion mobility-mass spectrometry (IM-MS) for the comprehensive, 3D structural analysis of the proteome. To this end, Ruotolo and his team have studied the role of solvation on biomolecular structure, introduced collision induced unfolding (CIU) - a new fingerprinting technology capable of detecting the structural state of protein-ligand complexes and biotherapeutics, developed software packages for the enhanced interpretation and throughput of IM-MS and CIU data, and investigated the structural consequences of small molecule drug-like compounds on amyloid-related peptides. Ruotolo’s work has resulted in ca. 120 peer-reviewed publications, and many awards, including the Eli Lilly Award in Analytical Chemistry, the NSF CAREER award, the ASMS Research Award, the Protein Science Young Investigator Award, and the Agilent Thought Leader Award.
</blockquote>

Agilent Technologies: Collision Induced Unfolding: Rapid, Sensitive, Information Rich Stability Measurements

Collision Induced Unfolding: Rapid, Sensitive, Information Rich Stability Measurements

In this presentation, I discuss recent developments surrounding collision induced unfolding (CIU) methods that aim to bridge this technology gap. 

Rapid & Sensitive Stability CIU LC/MS Measurements

<h3>Two-dimensional liquid chromatography (2D-LC): A tutorial focusing on best practice</h3>
In recent years, 2D-LC has evolved from a niche technology to one that is in demand, especially when it comes to the analysis of complex samples, or hidden or co-eluting compounds. Whether you are starting out with 2D-LC or want to refresh your knowledge, this two-part webinar series will give you a comprehensive introduction to the technique, including best practices.
<h4>Session 1: Key concepts of 2D-LC</h4>
Learn about the four modes of 2D-LC: heart-cutting, multiple heart-cutting, selective and full comprehensive, and find out how they relate conceptually. Plus, get advice on how to choose complementary separations for the first and second dimension (RP, IEX, HILIC, etc.), how to optimize cycle time, and how to maximize second dimension sensitivity.
<h5>Who should attend?</h5>
New and experienced 2D-LC users, scientists, and lab managers or technical decision makers in pharma, biopharma, food, energy &amp; chemicals, environmental, material, forensics, and life science research
<blockquote>
Presenter: Dr. Dwight Stoll (Professor of Chemistry, Gustavus Adolphus College. St. Peter, MN, USA)
</blockquote>
<blockquote>
Dr. Dwight Stoll completed his undergraduate work at Minnesota State University, Mankato, in plant biology and biochemistry. Upon graduation in 1999, he took a job in industry as a research technician with ZirChrom Separations, Inc. For his graduate work, he studied with Professor Peter Carr in the Chemistry Department at the University of Minnesota from 2001–2007, where he worked on the development of fast, comprehensive two-dimensional liquid chromatography.
</blockquote>
<blockquote>
In the fall of 2008, Stoll was hired as an Assistant Professor in the Chemistry Department at Gustavus Adolphus College, where he mainly teaches quantitative and instrumental analysis courses. In 2014, he was promoted to Associate Professor, and in 2018, he was promoted to Professor. Currently, he is co-chair of the Chemistry Department. Active research projects in his laboratory touch upon most aspects of multi-dimensional separation methodologies, including optimization strategies, characterization of selectivity in reversed-phase HPLC, instrument development, and applications in biopharmaceutical analysis.
</blockquote>
<blockquote>
Stoll is the author or co-author of more than 62 peer-reviewed publications and three book chapters in the area of separation science, is a named co-inventor on four granted patents, and has instructed numerous short courses in two-dimensional liquid chromatography. In 2011, he was the recipient of LCGC’s Emerging Leader in Chromatography Award. In 2014, he added to The Analytical Scientist’s list of ‘Top 40 Under 40’ analytical scientists. In 2017, he received the Georges Guiochon Faculty Fellowship and an Agilent Technologies Thought Leader Award, which will support research in his laboratory on the development of 2D-LC methodologies for biopharmaceutical analysis.
</blockquote>

Agilent Technologies: Two-dimensional liquid chromatography (2D-LC): A tutorial focusing on best practice

Key concepts of 2D-LC

Learn about the four modes of 2D-LC: heart-cutting, multiple heart-cutting, selective and full comprehensive, and find out how they relate conceptually.

Promoting the use of HPTLC in plant analysis and other analytical fields is the main purpose of the International Association for the Advancement of High Performance Thin Layer Chromatography (HPTLC Association). For this, representatives across academia, industry, research, regulatory and standard setting bodies are brought together to facilitate a worldwide exchange of knowledge between HPTLC users and share the spirit of working in an exciting analytical field!
<h5>Space for discussions – Meet the speakers and representatives from the HPTLC Association in a follow-up meeting held via Zoom at 11:15 BST</h5>
Take the opportunity to engage in discussions with speakers, colleagues, and representatives from the HPTLC Association in a moderated Zoom meeting, scheduled immediately after the main event.
A separate registration for the Zoom meeting is not required – registrants for the main event will receive an email invitation with an access link at day of the event. Additionally, a QR code and a shortlink will be displayed after the Q&amp;A session to bridge the gap, enabling a seamless transition from the webinar platform to the Zoom meeting also for last minute registrants.
<h5>Session 1: HPTLC and HPTLC-MS – An essential tool in the assessment of botanical dietary supplements</h5>
HPTLC is an essential tool in assessing botanical dietary supplements. It is a sophisticated technique for qualitatively and quantitatively separating complex botanical mixtures into components. Its applications include plant material ID-testing, plant part fingerprinting, adulteration testing, identification of natural molecules, phytochemical analysis, quantitative and confirmative analysis with a combinatorial approach, HPTLC-MS, FTIR, and scanning diode laser (SDL). These approaches are well validated and accepted by botanical guidelines and pharmacopeias.
HPTLC-MS is of special interest due to its high sensitivity, efficient analysis, and capacity to enhance structural characterization. The elements of novelty and innovation can be rediscovered in the botanical-based markets comprising different sectors like nutraceuticals, food supplements, botanicals, dietary supplements, multifunctional foods, herbal drug preparations, and traditional medicines. These markets for natural substances have been changing dynamically with challenges of effective technologies for ensuring quality, purity, and stability, and identification of these complex botanical products can be provided by key HPTLC research and findings. As a result, the current strategy is an easy and reproducible method database for comparison and analysis of fingerprints, components, and the detection of adulterants, if any, by HPTLC-Densitometry or MS.
<h5>Session 2: HPTLC – A good choice for extractables and leachables studies</h5>
Pharmaceutical containers are designed to keep pharmaceuticals safe, however they can also be a source of contamination owing to extractable and leachable (E&amp;L) plastic material. Trace levels of extractables and leachables in matrices, which can be rather complex, are a great challenge for analysts since the tests must achieve extremely low detection and/or quantification limits (ppb levels). Hence, liquid chromatography and gas chromatography tandem with mass spectrometry are often used for E&amp;L studies due to its sensitivity. However, one of the issues with mass spectrometry detectors is the base line saturation caused by the consistent injection of liquid solvents, which are frequently exposed with plastic containers. As a result, there is a potential of false positive detection.
In this webinar, explore how a novel HPTLC approach was suggested for analysing the phthalate content from pharmaceutical items packaged in plastic containers. The technique was successfully implemented for the detection of four phthalates with limits of 100 ng/band. The significant amount of phthalate was quantified from the pharmaceuticals.
Further research was also conducted to track plastic exposure in the human body. The phthalate (di-ester phthalate) is metabolized and transformed into mono ester metabolites, with more than 95% of the metabolites eliminated through urine. A novel HPTLC technique was also developed to measure phthalate metabolites in urine samples. The 51 real samples were also tested from patients, including 14 urine samples from patients who had undergone parenteral preparation therapy in hospitals and 37 samples from a fertility clinic where patients were infertile. The HPTLC technique was effectively used to measure the phthalate metabolites in these patients&#39; urine samples. The HPTLC technique has been shown to be more successful, repeatable, simple, rapid, and cost-effective than the sophisticated techniques used for the same analysis.
<h5>Key learning objectives</h5>
<ul>
<li>Extend your knowledge about HPTLC and understand the benefits of HPTLC for diverse applications.</li>
<li>Get insights into the daily work of HPTLC users.</li>
<li>Learn how to optimize your HPTLC application(s).</li>
</ul>
<h5>Who should attend</h5>
<ul>
<li>Researchers</li>
<li>Students</li>
<li>Analysts</li>
<li>Technicians</li>
<li>Scientists</li>
<li>Members of the HPTLC Association</li>
</ul>
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Presenter: Dr. Aboli Girme (Senior Manager, Research and Innovation, Pharmanza Herbal Pvt. Ltd. India)
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<blockquote>
Dr. Aboli Girme is an experienced, research and innovation manager leading botanical research with cross-functional teams to plan, build, launch, and manage botanical-based innovations. Dr. Girme’s strong analytical skills have generated key research findings and insights, which contributed to the launch of highly efficacious world-class botanical-based innovations. Her work has been published in various national and international journals.
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Presenter: Dr. Kashyap Thummar (Assistant Professor, Gujarat Technological University, India)
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<blockquote>
Dr. Kashyap Thummar is currently working as an Assistant Professor at the Graduate School of Pharmacy, Gujarat Technological University, India. He has almost 12 years of teaching and research experience, and has developed various applications from several analytical instruments, such as HPTLC, LC-MS/MS, Head Space GC-MS/MS, Preparative HPLC, AAS, FT-IR, and many others. Dr. Thummar has published more than 20 research papers, one book, and holds two Indian patents. He has also delivered expert talks at various national and international conferences.
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Presenter: Jess Smith (SelectScience)
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<blockquote>
Jess Smith has an MSc by research in Neuroscience from the University of Edinburgh and worked as a research assistant in a laboratory investigating healthy aging in the brain. She has worked creating scientific content for many years on topics including dementia, cancer, sight loss and others.
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CAMAG: 3rd HPTLC Online User Meeting, hosted by the HPTLC Association

3rd HPTLC Online User Meeting, hosted by the HPTLC Association

Topic 1: HPTLC and HPTLC-MS – An essential, Topic 2: HPTLC – A good choice for extractables and leachables studies.

3rd HPTLC Online User Meeting, by the HPTLC Association

A UV-VIS spectrometer is a powerful and versatile tool for material analysis. It is capable of providing very quick information of sample composition and concentration for quality control in addition to indicating how samples change versus time or temperature.
In this webinar, we will go over what is happening when we take a UV-VIS measurement, discuss how measurement parameters can improve our data collection, and look at applications like concentration and kinetics.
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Presenter: Scott Melis, PhD (Application Scientist, Agilent Technologies, Inc.)
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Scott Melis has a PHD in Physics from Georgetown University in Washington, DC and started with Agilent in 2021 as a Molecular Spectroscopy Application Scientist. In his graduate work, Scott studied nanoparticle formation and growth for a variety of applications. Projects that he worked with include developing processes to deposit and characterize semiconducting molecular nano-cocrystals for use in optoelectronic devices as well as controlling polymer nanoparticle size through rapid mixing conditions.
</blockquote>

Agilent Technologies: Understanding Your UV-Vis Measurements

Understanding Your UV-Vis Measurements

What is happening when we take a UV-VIS measurement, how measurement parameters can improve our data collection, and look at applications.

21 CFR Part 11 regulations and requirements for UV-VIS spectrometers can seem intimidating. Agilent&#39;s Cary 60 and Cary 3500 UV-VIS spectrometers are capable of meeting these requirements and are here to help.
<blockquote>
Presenter: Scott Melis, PhD (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Scott Melis has a PHD in Physics from Georgetown University in Washington, DC and started with Agilent in 2021 as a Molecular Spectroscopy Application Scientist. In his graduate work, Scott studied nanoparticle formation and growth for a variety of applications. Projects that he worked with include developing processes to deposit and characterize semiconducting molecular nano-cocrystals for use in optoelectronic devices as well as controlling polymer nanoparticle size through rapid mixing conditions.
</blockquote>

Agilent Technologies: Meeting 21 CFR Part 11 Compliance With UV-Vis Spectrometers

Meeting 21 CFR Part 11 Compliance With UV-Vis Spectrometers

Agilent's Cary 60 and Cary 3500 UV-VIS spectrometers are capable of meeting 21 CFR Part 11 regulations and requirements  and are here to help.

The relative abundance of empty and full AAV capsids in gene therapy vector preparations is a critical quality attribute. A variety of methods are available to perform these measurements including SEC-MALS, which combines separation by size-exclusion chromatography with detection by multi-angle light scattering, UV/Vis, and differential refractometry. However, there are relatively few reports that compare these methods.
This webinar compares the outcomes of numerous orthogonal characterization methods on a single vector preparation. We find that SEC-MALS not only provides favorable performance for quality control and product development applications, but that it is uniquely situated to be established as a platform method for the semi-quantitative measurement of empty/full ratios across AAV serotypes, transgenes, and manufacturing processes.
<h5>Key Learning Objectives:</h5>
<ul>
<li>How SEC-MALS quantifies empty and full AAVs, as well as other attributes</li>
<li>Are empty/full readouts from different assays comparable?</li>
<li>Other light scattering techniques that quantify AAVs</li>
</ul>
<h5>Who Should Attend:</h5>
<ul>
<li>CMC teams supporting AAV-based therapies</li>
<li>Scientists involved in AAV characterization, analytical method development, process development, and quality control</li>
<li>Lab managers that need to select and support an optimal set of AAV characterization methods</li>
</ul>
<blockquote>
Presenter: Margaret Butko (Associate Director, Protein Analytical Characterization at Adverum)
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<blockquote>
Presenter: Prithwijit Sarkar (Regional Manager, Northern California, Wyatt Technology Corporation)
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<blockquote>
Presenter: Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)
</blockquote>

C&EN: Comparing Methods that Determine Empty-Full Ratio of AAV Capsids

Comparing Methods that Determine Empty-Full Ratio of AAV Capsids

This webinar compares the outcomes of numerous orthogonal characterization methods on a single vector preparation. 

Methods that Determine Empty-Full Ratio of AAV Capsids

One of the key features in developing a HPLC chromatographic method is the selection HPLC column. It is the focus of this presentation to review the key factors that go into HPLC column selection. These factors include column length, column diameter, particle size of the column packing media, pore size of the column packing media, column type and stationary phase of the packing media.
We explain how column selection can be a match in developing an optimized separation of analyte classes and ultimately how this selection can help ensure a robust separation method. We show how practical compromises can be made in selecting the best column for required separation.
<blockquote>
Presenter: Matthew Przybyciel, Ph.D. (Research and Development Leader, PerkinElmer)
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<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 of chromatographic stationary phases and columns for high performance chromatographic separations for HPLC and SFC.
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<blockquote>
In 2021, ES Industries became part of PerkinElmer, Inc. and Matthew now is product development leader at PerkinElmer. 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: Liquid Chromatography 2022 Learning Series

Introduction to LC Column Selection

One of the key features in developing a HPLC chromatographic method is the selection HPLC column.