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

Metrohm

Merck

Bruker

Wiley

SCIEX

Waters Corporation

This online event has been designed for our customers and brings together opinion leaders, top scientists and industry innovators to share their research in the biopharma field.
The technologies presented will be CE and LC-MS.
Agenda:
<h5>10:00–10:10 Welcome and introduction</h5>
<ul>
<li>Steve Lock, SCIEX</li>
</ul>
<h5>10:10–10:35 Use of LC-MS in process analytical testing as part of development of a continuous manufacturing workflow</h5>
<ul>
<li>Daniel Myatt / Ronan Gough, CPI</li>
</ul>
<h5>10:35–11:00 Tips and tricks for biotherapeutics characterization by peptide mapping</h5>
<ul>
<li>Giulia Calloni, SCIEX</li>
</ul>
<h5>11:00–11:25 Developing methods for SEC-MS and IEX-MS for the analysis of biotherapeutics</h5>
<ul>
<li>Sarah Nguyen, Strasbourg University</li>
</ul>
<h5>11:25–11:35 Break</h5>
<h5>11:35–12:00 The power of CZE analysis for characterization of NANOBODY® molecules</h5>
<ul>
<li>Dries Dejaegere, Sanofi</li>
</ul>
<h5>12:00–12:25 Multi-capillary gel electrophoresis to increase throughput for the purity analysis of biotherapeutic proteins</h5>
<ul>
<li>Theresa Merlino, The Janssen Pharmaceutical Companies of Johnson &amp; Johnson</li>
</ul>
<h5>12:25–12:50 A disruptive approach to the characterization of mAb charge variants during biopharmaceutical process development</h5>
<ul>
<li>Greg Adams, FUJIFILM</li>
</ul>
<h5>12:50–13:00 Wrap-up and Q&amp;A</h5>
<blockquote>
Presenter: Steve Lock, PhD (Snr. Marketing and Market Development Manager, Biopharma, EMEAI, SCIEX)
</blockquote>
<blockquote>
Steve obtained his PhD in Physical Organic Chemistry from the University College of Swansea in 1993 and is a chartered chemist and a member of the Royal Society of Chemistry. He has worked for SCIEX in various technical roles for over 20 years and has presented at over 80 international meetings around the world. He currently works closely with customers in the biopharmaceutical industry. Steve is also currently an Adjunct Professor at the University of Pannonia.
</blockquote>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/SCIEX_agenda_day_1_6818ee0331/SCIEX-agenda-day-1.jpg" alt="SCIEX - agenda day 1.jpg"/>

SCIEX: SCIEX Biopharma meeting - 3rd edition! Day 1 - Gene therapy, vaccines and oligonucleotides

SCIEX Biopharma meeting (Day 1) - Gene therapy, vaccines and oligonucleotides

Gene therapy, vaccines and oligonucleotides. The technologies presented will be CE and LC-MS.

Day 1 - Gene therapy, vaccines and oligonucleotides

This online event has been designed for our customers and brings together opinion leaders, top scientists and industry innovators to share their research in the biopharma field.
The technologies presented will be CE and LC-MS.
Agenda:
<h5>10:00–10:10 Welcome and introduction</h5>
<ul>
<li>Steve Lock, SCIEX</li>
</ul>
<h5>10:10–10:35 Particle seizing by CE</h5>
<ul>
<li>Hervé Cottet, Montpellier University</li>
</ul>
<h5>10:35–11:00 Application of CE for purity analysis in cell and gene therapy</h5>
<ul>
<li>Ryan Hylands / Luiza Chrojan, Pharmaron</li>
</ul>
<h5>11:00–11:25 Tips and tricks for success in CE analysis</h5>
<ul>
<li>Whitney Smith, SCIEX</li>
</ul>
<h5>11:25–11:35 Break</h5>
<h5>11:35–12:00 RNA payload analysis: development and analytical challenges</h5>
<ul>
<li>Jérémie Parot, SINTEF Industry</li>
</ul>
<h5>12:00–12:25 The use of CE for AAV analytics</h5>
<ul>
<li>Padraig Flaherty, MeiraGTx</li>
</ul>
<h5>12:25–12:50 Oligo analysis by LC-MS</h5>
<ul>
<li>Alexandra Bushby, Labcorp</li>
</ul>
<h5>12:50–13:00 Wrap-up and Q&amp;A</h5>
<blockquote>
Presenter: Steve Lock, PhD (Snr. Marketing and Market Development Manager, Biopharma, EMEAI, SCIEX)
</blockquote>
<blockquote>
Steve obtained his PhD in Physical Organic Chemistry from the University College of Swansea in 1993 and is a chartered chemist and a member of the Royal Society of Chemistry. He has worked for SCIEX in various technical roles for over 20 years and has presented at over 80 international meetings around the world. He currently works closely with customers in the biopharmaceutical industry. Steve is also currently an Adjunct Professor at the University of Pannonia.
</blockquote>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/SCIEX_agenda_day_2_b442145213/SCIEX-agenda-day-2.jpg" alt="SCIEX - agenda day 2.jpg"/>

SCIEX: SCIEX Biopharma meeting - 3rd edition! Day 2 - Therapeutic proteins and peptides

SCIEX Biopharma meeting (Day 2) - Therapeutic proteins and peptides

Therapeutic proteins and peptides. The technologies presented will be CE and LC-MS.

Day 2 - Therapeutic proteins and peptides

As studies on PFAS continue to advance, the analytical technology used to support research and testing continues to advance.
Detection requirements for PFAS have been getting more challenging as advisory and regulatory limits are constantly being updated. Not only a highly sensitive LC-MS/MS platform essential, but background contamination must be controlled. We will discuss advances in LC-MS/MS technology with enhancements in negative ion sensitivity from the Xevo TQ Absolute Mass Spectrometer, as well as tools for data management with waters_connect software, and provide insights on controlling laboratory background. Waters comprehensive PFAS analysis support allows for detection of target compounds at ultra-trace concentrations along with easier, more robust, and accurate options as PFAS analysis continues into the future.
Key Learning Topics
<ul>
<li>Improvements in sensitivity using negative ion detection
</li>
<li>Developing and successfully implementing an LC-MS/MS method
</li>
<li>Tools for managing data (isomers, isotopes and more)
</li>
</ul>
Who should attend
<ul>
<li>PFAS Program Managers
</li>
<li>Laboratory Managers
</li>
<li>Analytical Scientists
</li>
<li>Quality Assurance Managers
</li>
</ul>
<blockquote>
Presenter: Gordon Fujimoto (PhD Group Leader, Chemical Analysis Applications, Waters Corporation)
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Gordon Fujimoto is in Waters&#39; Americas mass spectrometry demonstration lab. He has worked on customer applications for twenty years for Waters. Currently, he is working with customers in the food, environment and materials areas on mass spectrometry applications.
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Waters Corporation: Trace-level Targeted Analysis for PFAS: The Challenges, and Best Practices for Success

Trace-level Targeted Analysis for PFAS: The Challenges, and Best Practices for Success

Advances in LC-MS/MS technology with enhancements in negative ion sensitivity from the Xevo TQ Absolute Mass Spectrometer.

Trace-level Targeted Analysis for PFAS - Best Practices

Oligonucleotide analysis is a critical aspect of molecular biology and therapeutic development, demanding robust and versatile chromatographic techniques for comprehensive characterization.
Several modes of chromatography can be employed to characterize these biomolecules, but when and how to best use each mode can be challenging.
This webinar aims to explore how various chromatographic techniques can be synergistically employed to achieve comprehensive oligonucleotide characterization. Aspects of ion-pair reversed phase chromatography (IP-RPC), hydrophilic interaction liquid chromatography (HILIC), ion exchange chromatography (IEC), and size exclusion chromatography (SEC) will be discussed and how best to employ each mode in oligonucleotide characterization. Several application examples will be utilized to showcase how each of these modes of chromatography can be best utilized to fully resolve and understand the composition of samples containing oligonucleotides.
At the conclusion of the webinar, the audience member will:
<ul>
<li>Understand the strengths and weaknesses of each mode of chromatography in characterizing oligonucleotides.
</li>
<li>Be familiar with key method parameters to adjust when fine-tuning oligonucleotide chromatographic assays
</li>
<li>Gain an appreciation for when to use each mode of chromatography when analyzing oligonucleotides
</li>
</ul>
<blockquote>
Presenter: Cory E. Muraco (Biomolecule Workflows Manager, Merck KGaA, Darmstadt, Germany)
</blockquote>
<blockquote>
Cory joined the company in 2013, starting in the Chemical Standards division, developing and validating analytical methods for testing the purity of certified reference materials using GC and LC methods. In 2022, Cory assumed his present role, where he is tasked with supporting the design, development, and execution of the marketing and R&amp;D strategies around bioanalytical strategy.
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Presenter: Andrea Krumm (Product Manager, Analytical Columns, Tosoh Bioscience GmbH)
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<blockquote>
Andrea Krumm studied biotechnology before gaining a PhD in Cell and Cancer Biology. After four years as an applications specialist for optical analytical devices used in academic and pharmaceutical research, she joined Tosoh Bioscience GmbH in 2020 as a product manager for analytical columns. Andrea is responsible for gathering customer requirements, application areas and addressing these with new and existing products of the analytical columns line.
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Merck: Exploring Oligonucleotide Diversity: Insights From Multiple Modes of Chromatography

Exploring Oligonucleotide Diversity: Insights From Multiple Modes of Chromatography

How various chromatographic techniques can be synergistically employed to achieve comprehensive oligonucleotide characterization.

Oligonucleotide Diversity: Multiple Modes of Chromatography

During drug metabolite identification (Met ID) studies collision-induced dissociation (CID) is the most commonly used fragmentation technique for LC-MS experiments.
Many conjugation metabolites are found to have multiple bonding potentials to parent drugs. It is a great challenge to locate the bonding sites by CID due to the information lost by highly selective cleavage on these bonds. 
The novel electron-activated dissociation (EAD) is a recently developed technology on the SCIEX ZenoTOF 7600 system. From a single LC-MS/MS experiment CID and EAD data can be collected, providing information rich fragmentation spectra. The additional information can help in confident localization and identification of metabolites compared to CID alone. These fragments can be crucial to locate the metabolic modification sites, such as conjugations. 
In this study, the application of EAD in drug metabolite profiling is explored. The efficiency in the structural elucidation of conjugation metabolites is compared with that of CID.
Webinar Learning Objectives:
<ul>
<li>Learn how EAD can be advantageous in confident identification and localization of drug metabolites
</li>
<li>Discover the sensitivity of the Zeno trap technology in the identification of the low abundant metabolites
</li>
<li>Explore the capabilities of the Molecule Profiler software in processing EAD and CID data for drug metabolite identification
</li>
</ul>
<blockquote>
Presenter: Ming Yao (Principal Scientist, CPPDB, Bristol-Myers Squibb)
</blockquote>
<blockquote>
Ming Yao currently works at Bristol-Myers Squibb (BMS). He received his B.Sc. from Henan University, and his M.Sc. from the Chinese Academy of Preventive Medicine China. After graduation, he worked at the Institute of Occupational Medicine as an associate professor.
</blockquote>
<blockquote>
As a visiting Associate Professor, he conducted research for bioactivation of chemicals at Merck as well as the University of Western Ontario. After then, he joined BMS and he was responsible for designing and conducting in vitro and in vivo biotransformation studies for multiple programs to support both development and discovery projects. Most recently, he has also been involved in the development of protein drugs, such as the antibody drug conjugates (ADCs) and biotransformation of biologics.
</blockquote>
<blockquote>
Ming has over 28 years of experiences in the pharmaceutical industry and has over 50 publications and 5 book chapters covering new technologies of mass spectrometry and its applications in drug metabolism.
</blockquote>
<blockquote>
Presenter: Rahul Baghla (Manager Pharma Applications, SCIEX)
</blockquote>
<blockquote>
Rahul Baghla, Manager Pharma Applications is a research scientist with 12+ years of experience in various applications of mass spectrometry delivering in Pharma/Biopharma/CRO industries. He is specialised in implementing new mass spectrometry technologies in bioanalytical/analytical method development/validation, drug discovery, ADME assays and clinical studies.
</blockquote>
<blockquote>
He has supported various functions within pharma industry including nutrition, wellness, and oral care based clinical trial studies over the years. Rahul has master’s degree in pharmaceutical analysis, master’s in business administration and a professional diploma in clinical research.
</blockquote>
<blockquote>
He is responsible for continuous engagement with pharmaceutical community to identify major analytical challenges, provide solutions and to find significant analytical opportunities for SCIEX.
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SCIEX: Discover how Bristol-Myers Squibb uses electron-activated dissociation (EAD) to confidently identify drug metabolites and localize site of metabolism.

Discover how Bristol-Myers Squibb uses electron-activated dissociation (EAD) to confidently identify drug metabolites and localize site of metabolism.

Learn how EAD can be advantageous in confident identification and localization of drug metabolites.

LC/MS EAD & drug metabolites & localization of metabolism

MALDI Imaging is a powerful tool that can not only provide stunning visuals of tissues but also serve as an important tool in answering biological questions.
Join Dr. Anand Mehta from the Medical University of South Carolina as he gives an overview of his work with imaging N-linked glycans from liver cancer tissues. He will share how this technology is being used to advance clinical research in disease prognosis, biomarker evaluation, and druggable targets.
This LabCast will also give you a front-row seat to see our experts demonstrate these techniques, so you can practice them in your own lab. There will also be an opportunity to ask questions at the end.
This LabCast demonstrates:
<ul>
<li>The principles of MALDI Imaging and how it is used to analyze N-linked glycans
</li>
<li>Sample preparation and data acquisition techniques
</li>
<li>Multiomic and multimodal data analysis strategies
</li>
</ul>
Who should attend:
<ul>
<li>Researchers interested in learning how to use MALDI Imaging to study N-linked glycans in tissues
</li>
<li>Anyone who is interested in learning more about MALDI Imaging and its applications in clinical research
</li>
<li>No prior experience with MALDI Imaging is required.
</li>
</ul>
<blockquote>
Presenter: Anand Mehta (DPhil, Professor, Endowed SmartState Chair in Proteomic Biomarkers, Medical University of South Carolina, Charleston, South Carolina, USA)
</blockquote>
<blockquote>
Dr. Anand Mehta is a Professor at the Medical University of South Carolina, where his research work focuses on the glycobiology of liver cancer and the identification and development of glycan-based biomarkers for the early detection of cancer. Together with Dr. Rick Drake and Dr. Peggi Angel at MUSC, Dr. Mehta has pioneered the utilization of MALDI Imaging for the analysis of N-linked glycans utilizing multiple N-glycan-targeting enzymes including PNGase F. To date, Dr. Mehta has authored over 100 research articles on topics including the glycobiology of liver cancer and the identification of cancer biomarkers. Dr. Mehta has also been awarded multiple U.S. patents on liver pathology and glycan-based biomarkers of liver cancer. Dr. Mehta’s current work focuses on the development of high-throughput MALDI Imaging-based platforms for the identification and validation of cancer biomarkers in both tissue and serum samples.
</blockquote>
<blockquote>
Presenter: Andrew DelaCourt (Ph.D., Field Application Scientist in Imaging, Bruker, Charleston, South Carolina, USA)
</blockquote>
<blockquote>
Dr. Andrew DelaCourt is a Field Application Scientist at Bruker focusing on MALDI Imaging applications. Dr. DelaCourt recently completed his Ph.D. work in the laboratory of Dr. Anand Mehta at the Medical University of South Carolina, where he utilized MALDI Imaging for the identification of N-linked glycan biomarkers of genetic subtypes of hepatocellular carcinoma. Dr. DelaCourt brings his expertise in cancer biology and glycobiology to Bruker in order to further contribute to the application of MALDI Imaging in those areas.
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<blockquote>
Presenter: Daniel Castro (Ph.D., Application Scientist in Imaging, Bruker, Billerica, Massachusetts, USA)
</blockquote>
<blockquote>
Dr. Daniel Castro is an Application Scientist at Bruker focusing on MALDI Imaging. Dr. Castro completed his Ph.D. in the lab of Jonathan Sweedler at the University of Illinois-Urbana-Champaign, where he focused on high-throughput single-cell and single-organelle measurements as well as accelerating tissue MALDI-FTICR imaging. Dr. Castro, is an expert in high-throughput MALDI measurements.
</blockquote>

Bruker: LabCast: Biomarkers for liver cancer using N-Glycan MALDI Imaging

Biomarkers for liver cancer using N-Glycan MALDI Imaging

The principles of MALDI Imaging and how it is used to analyze N-linked glycans. Sample preparation and data acquisition techniques. Multiomic and multimodal

Over the last few years, spatial biology has refined the understanding of coordinated biological processes that govern how systems both thrive and become vulnerable to disease.
The latest tools offer advanced images that track the location and types of proteins and RNA across tissue microdomains and cellular phenotypes using a variety of detection techniques but lack the ability to see other post-transcriptional processes defined by metabolites and glycans. MALDI Imaging is a true multiomics technique that allows for spatial determination of metabolites and lipids in tissue, as well as expanding targeted analysis to small molecules, glycans, and proteins. The addition of MALDI-2 and microGRID technology enables imaging for maximum biological information at previously unreachable sensitivity and robust (sub)cellular resolution.
This webinar will introduce how Bruker’s new MALDI HiPLEX-IHC Imaging workflow delivers greater speed and field-of-view for multiplexed protein imaging in tissue, while providing thousands of untargeted molecular images that enable deeper tissue subtyping. The combination of protein spatial localization combined with metabolites and glycans offers a new pathway for coordinated biomarker discovery to complement existing spatial techniques.
What to expect?
<ul>
<li>Live presentation from Bruker’s experts to see ease of use of the timsTOF fleX platform, new MALDI HiPLEX-IHC workflows and highlighting user stories, including focus on improved spatial resolution with microGRID, improved sensitivity with MALDI-2, improved separation selectivity with trapped ion mobility and comprehensive software solutions</li>
</ul>
Who should attend?
<ul>
<li>Anyone using or interested in using tools for spatial biology discovery or translation
</li>
<li>Scientists &amp; researchers interested in expanding their workflows to the spatial dimension, scientists working with spatial distribution of small molecule biologics
</li>
<li>MALDI Imaging users wanting to expand their workflows
</li>
<li>Anyone interested in learning more about MALDI Imaging capabilities
</li>
</ul>
<blockquote>
Presenter: Kate Stumpo, Ph.D. (Senior Market Manager Imaging, Bruker, Billerica, MA, USA)
<ul>
<li>Introduction and welcome to MALDI Imaging </li>
<li>Spatial biology meets Mass Spectrometry in cancer research </li>
<li>MALDI Imaging utility in neurological research</li>
</ul>
</blockquote>
<blockquote>
Presenter: Corinna Henkel, Ph.D. (Application Scientist Imaging, Bruker, Bremen, Germany)
<ul>
<li>MALDI HiPLEX-IHC workflow technical introduction</li>
<li>Software solutions for multiomics integration</li>
</ul>
</blockquote>
<blockquote>
Presenter: Bjoern Wendik, Ph.D. (Business Development Manager, Bruker, Bremen, Germany)
<ul>
<li>Bridging non-MS imaging to the MALDI world</li>
<li>Automation, workflow and relevance for future clinical applications</li>
</ul>
</blockquote>

Bruker: Redefining Hiplexed Spatial Multiomics

Redefining Hiplexed Spatial Multiomics

How Bruker’s new MALDI HiPLEX-IHC Imaging workflow delivers greater speed and field-of-view for multiplexed protein imaging in tissue.

From applied research to corrosion monitoring to quality control of boiler feed water in the power industry – voltammetry is an established method for highly selective and sensitive analysis of heavy metals. Now, a new generation of mercury-free sensors developed by Metrohm makes this method «green» and hence compatible with increasingly tougher environmental regulations in many countries.
Join Jakub Tymoczko, Application Specialist at Metrohm International Headquarters, in his webinar on November 2 and learn how how you can perform «green voltammetry» in the laboratory as well as in the field for fast determination and speciation of heavy metals ranging from arsenic to zinc.
Key learnings of this webinar:
<ul>
<li>The principle behind the new generation of mercury-free sensors from Metrohm</li>
<li>The inherent benefits of voltammetry for heavy metal analysis such as lower costs, easier to use, faster results than by competing methods, e.g., ICP-MS</li>
<li>Typical application examples from different fields (research, process control, monitoring of drinking water)</li>
<li>Automation possibilities for high throughput analysis of large sample series</li>
</ul>
<blockquote>
Presenter: Jakub Tymoczko (Application Specialist Voltammetry, Metrohm International Headquarters)
</blockquote>
<blockquote>
Dr. Jakub Tymoczko has worked for the Competence Center Voltammetry at Metrohm International Headquarters in Switzerland since 2015. In this time, he has been in charge of developing Metrohm&#39;s new generation of mercury-free sensors and methods for heavy metal detection. Jakub has a Master in biochemistry and received his PhD in electrochemistry on the engineering of model electrocatalysts for energy conversion and storage from the Ruhr-University in Bochum.
</blockquote>

Metrohm: Green voltammetry – a new generation of sensors for mercury-free analysis of heavy metals

Green voltammetry – a new generation of sensors for mercury-free analysis of heavy metals

How you can perform «green voltammetry» in the laboratory as well as in the field for fast determination and speciation of heavy metals.

Green voltammetry – mercury-free analysis of heavy metals

In this webinar, we will present end-to-end solutions for biopharma lab workflows with a focus on multiple mass spectrometry- based analysis techniques, ranging from SQ, TQ, TOF and Q-TOF.
A broad portfolio in sample prep automation for protein therapeutics allows for highly reproducible results in the starting point of the analysis. A broad range of consumables and columns will be presented, leading into the subsequent separation via HPLC and detection by mass spectrometry.
The 6545XT AdvanceBio was particularly developed for intact protein analysis, and the ultra-high vacuum and large molecule autotune led to excellent sensitivity in denatured and native applications, allowing quantitation on the intact protein level as well as ADR calculations. Peptide mapping and glycan analysis results, along with the confirmation of oligonucleotide sequences using Q-TOF-based workflows, will be presented.
We will also highlight the ultrahigh performance of the novel 6495 triple quadrupole LC/MS system (G6495D) with MassHunter Workstation 12.1 for comprehensive multiplexed protein quantification. Artificial intelligence (AI)-based SWARM autotune and enhanced system features provide seamless protein quantification method optimization, ultimate analytical sensitivity, and high analytical precision as well as user-friendly instrument care and maintenance.
Lastly, we will show results from oligonucleotides and proteins analyzed on LC/MS single quadrupole and Time of Flight (TOF) instruments, the latest scientific applications, and recent method improvements.
<blockquote>
Presenter: Ian Edwards, Ph.D. (LC/TQ Portfolio Product Manager, Agilent Technologies Inc.)
</blockquote>
<blockquote>
Ian holds a PhD from the Centre for Proteome Research at the University of Liverpool. He has spent time as a pre- and post-sales MS applications specialist focused on MS imaging and proteomics, as a field marketing manager for -omics, and as a global pharmaceutical marketing manager. Ian joined Agilent recently as LC/TQ Product Manager.
</blockquote>
<blockquote>
Presenter: Russell Burge, Ph.D. (LC/SQ and LC/TOF Portfolio Product Manager, Agilent Technologies Inc.)
</blockquote>
<blockquote>
Russell earned a PhD in biochemistry and molecular biology from Scripps Research. He has extensive experience in the R&amp;D of biomolecules and biopharmaceuticals, and the implementation of automated workflows. Russell has acted as a Product Manager for various products in Life Science and Industrial Markets, and he currently manages the LC/MS SQ and LC/MS TOF product portfolios at Agilent.
</blockquote>
<blockquote>
Presenter: Christian Klein, Ph.D. (LC/Q-TOF Portfolio Product Manager, Agilent Technologies Inc.)
</blockquote>
<blockquote>
With an education in Chemistry, Chris Klein received his Ph.D. in 2005 at the Max-Planck-Institute for Biochemistry in Martinsried, Germany. He joined Agilent Technologies in 2010 as the lead chemist in the LC/Q-TOF R&amp;D team. In 2018 Chris jointed the marketing team as Portfolio Product Manager, responsible for LC/Q-TOF and Ion Mobility.
</blockquote>
<blockquote>
Presenter: Róisín Murtagh (Editor, Wiley)
</blockquote>
<blockquote>
Róisín Murtagh has been an editor for Wiley Analytical Science since 2021. She holds a science degree from Maynooth University, Ireland, and an MSc in Medicinal Chemistry from the Open University, UK. With a background encompassing over 10 years of experience in analytical science, she has actively contributed to both industry and academic research.
</blockquote>

Wiley: Intelligent LC/MS tools for quantitation and characterization of biopharmaceuticals

Intelligent LC/MS tools for quantitation and characterization of biopharmaceuticals

End-to-end solutions for biopharma lab workflows with a focus on multiple mass spectrometry- based analysis techniques, ranging from SQ, TQ, TOF and Q-TOF.**

LC/MS quantitation & characterization of biopharmaceuticals

The recent success of mRNA vaccines demonstrates the capabilities of nucleic acid-based drugs. These new modalities hold the promise of delivering not only potent vaccines, but also enzyme replacement therapies. However, there is a need for more analytical characterization tools to provide more informationon stability, heterogeneity, drug design and structure-function relationships. Anion-exchange (AEX) and size exclusion (SEC) chromatography techniques are well suited to providing high resolution separations of nucleic acids and their carriers.
AEX and SEC offer comprehensive quality and impurity profiling, but have suffered with previous methods from unsatisfactory recovery and resolution, poor MS compatibility. In addition, column hardware and packing materials have exhibited problematic secondary interactions. We have explored alternative mobile phase conditions in combination with various packing materials and sorbents in parallel with using novel low adsorption hardware allowing for more robust platform method for multiple drug substances and sample types, including AAVs and mRNA.
Learning Objectives Include:
<ul>
<li>Comprehensive overview of both theoretical and practical aspects of modern AEX and SEC separations.
</li>
<li>New solutions and method parameter consideration for design of robust methods for nucleic acid separations.
</li>
<li>Chromatography examples for small to very large nucleic acids
</li>
</ul>
<blockquote>
Presenter: Szabolcs Fekete PhD (R&amp;D Investigator, Waters Corporation)
</blockquote>
<blockquote>
Dr. Szabolcs Fekete worked as an analytical R&amp;D scientist in the pharmaceutical industry for 10 years then moved to the University of Geneva and worked as a scientific collaborator for a decade. In April 2021, he joined Waters Corporation and now works as one of the Chemistry department’s lead application and development scientists. . He has contributed to 200 pieces of published work.
</blockquote>

Waters Corporation: New Insights on Anion Exchange and Size Exclusion of Nucleic Acids

New Insights on Anion Exchange and Size Exclusion of Nucleic Acids

We have explored alternative mobile phase conditions in combination with various packing materials and sorbents.