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

Unchained Labs

VWR/Avantor

C&EN

Evosep Biosystems

Waters Corporation

It takes time, money, and resources to generate laboratory data, so any loss of data is a direct financial loss to your regulated company, as well as a major compliance risk. Laboratory data must be secured and available to support product quality decisions, both at the time of decision making and for the full duration of the mandated retention period.
A regulated company must ensure its data is retained through the retention period and maintains its integrity during that time. While external assistance can be sought with activities such as backup and restore, disaster recovery and business continuity planning, archiving, system administration and cybersecurity, the overall responsibility for the regulated data remains with the regulated company.
Key points of discussion will be:
<ol>
<li>Working with Servers</li>
<li>Having a Backup and Restore Plan</li>
<li>Developing a Disaster Recovery Plan</li>
<li>Have a Business Continuity Plan</li>
<li>Archiving Data</li>
<li>Cybersecurity Considerations</li>
<li>Updates to Software</li>
</ol>
Please join us for a live discussion as we explore this topic. As always, don’t forget to bring your Empower questions for this exclusive opportunity to ask our experts anything about Empower Software.
<blockquote>
Presenter: Neil Lander (Principal Product Manager, Waters Corporation)
</blockquote>
<blockquote>
Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager focusing on Informatics solutions. He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.
</blockquote>
<blockquote>
Presenter: Fiona O&#39;Leary (Informatics Consultant, Waters Corporation)
</blockquote>
<blockquote>
Fiona is an experienced Empower Software and Data Integrity professional working within the EU Professional Services Team.
</blockquote>
<blockquote>
She has ~18 years of experience with Waters, beginning with Technical Support &amp; Empower Training, moving to Empower Consultancy and Workflow Optimization in more recent years. Her focus now is on building Data Integrity into the Lab workflow, Custom Field automation and Electronic Data Review / Reporting optimization.
</blockquote>
<blockquote>
Prior to joining Waters, Fiona spent some years in the GxP Pharmaceutical Manufacturing world, setting the scene for her current goal of helping organizations achieve their scientific and operational objectives efficiently and within compliance guidelines. She graduated from Dublin City University in 2001 with a BSc Hons. Analytical Science.
</blockquote>

Waters Corporation: A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

As always, don’t forget to bring your Empower questions for this exclusive opportunity to ask our experts anything about Empower Software.

Ensuring Your Data Is Secure and Available

Biological samples represent formidable challenges in sample preparation that hold important consequences for LC analysis. Cleaner samples translate to more robust, reproducible LC analysis, with fewer repeat runs, and less equipment down time. The challenge is knowing which sample preparation technique to combine with both your sample and LC method.
In this discussion we will look at some common bio sample preparation techniques, from solvent exchanges to solid phase extractions. We will then discuss how to match the sample preparation technique to both your sample and the desired outcome of your chromatography.
<blockquote>
Presenter: Melissa Goodlad (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Melissa Goodlad is an Application Engineer providing applications assistance and technical support for Agilent’s HPLC columns and consumables. Before joining Agilent, Melissa was completing her PhD in Physical Chemistry at UC Merced studying nanoparticle self-assemblies.
</blockquote>

Agilent Technologies: Sample Preparation for Improved LC Bio Separations

Sample Preparation for Improved LC Bio Separations

In this discussion we will look at some common bio sample preparation techniques, from solvent exchanges to solid phase extractions.

Oligonucleotides (oligos) have become fast-growing modalities in recent years. Along with the development of these candidates has come the increased need for robust analytical methods and easy-to-use data analysis workflows to characterize them. Critical quality attributes of oligos include their mass, purity, and sequence – each of which can be difficult, time consuming, and tedious. As such, software that supports these efforts can be of great value.
In this work, we present novel, automated, and integrated software to support these workflows using LC HRAM MS instruments. Purity and sequencing data are presented for a multitude of oligos including antisense, aptamer, and long synthetic samples.
Key Learning Objectives:
<ul>
<li>Techniques for analyzing the critical quality attributes (CQAs) of oligos — including their mass, purity, and sequence</li>
<li>How novel, automated, and integrated software can facilitate the analysis of oligo CQAs using LC–HRAM MS instruments.</li>
<li>Purity and sequencing data for a multitude of oligos including antisense, aptamer, and long synthetic samples</li>
</ul>
Who Should Attend:
<ul>
<li>Researchers analyzing the critical quality attributes (CQAs) of oligos — including their mass, purity, and sequence</li>
<li>Chromatographers</li>
<li>Researchers interested in using LC–HRAM MS instruments for determination of oligo mass, purity and sequence</li>
</ul>
<blockquote>
Presenter: Peter Rye (Application Engineer Pre Sales, Agilent Technologies)
</blockquote>
<blockquote>
Presenter: Melissa O&#39;Meara (Forensic Science Consultant, C&amp;EN Media Group)
</blockquote>

C&EN: Recent Advances in Oligo Purity and Sequence Determination by LCMS

Recent Advances in Oligo Purity and Sequence Determination by LCMS

In this work, we present novel, automated, and integrated software to support oligos workflows using LC HRAM MS instruments.

Advances in Oligo Purity and Sequence Determination by LCMS

The United States Pharmacopeia (USP) is the only major pharmacopeia with a general chapter dedicated to analytical instrument qualification (USP &lt;1058&gt;). This makes &lt;1058&gt; a globally significant regulatory reference. However, despite the significant changes with the 2017 edition of &lt;1058&gt;, 68% of laboratories have not updated their qualification procedures. Additionally, the USP has already started the process to initiate updates to &lt;1058&gt;, when many laboratories may not fully comply with the current edition!
This raises many questions about the role of the current &lt;1058&gt; general chapter and how it aligns with the recently issued 2nd Edition of GAMP® 5.
By attending this webinar you will learn about:
<ul>
<li>How USP &lt;1058&gt; aligns with GAMP® 5</li>
<li>Core elements of the &lt;1058&gt; instrument life-cycle framework</li>
<li>Areas of &lt;1058&gt; the USP are exploring improvements in</li>
</ul>
<blockquote>
Presenter: Paul Smith (Global Laboratory Compliance Marketing Specialist (USP &lt;1058&gt;), Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Paul has a passion for laboratory compliance and started his career as an Infrared Spectroscopist, performing his first FT-IR software validation in 1992, 30 years ago. In his current Agilent role, Paul is an active member of GAMP, a member of the UK GAMP Community of Practice (CoP) steering committee and has contributed to GAMP® Good Practice Guides. He helps laboratories understand their laboratory instrument qualification requirements and writes publications and white papers about this.
</blockquote>

Pixabay/Rigby40: Evolution of USP<1058> updates and insights in regulations

Evolution of USP<1058> updates and insights in regulations

The role of the current <1058> general chapter and how it aligns with the recently issued 2nd Edition of GAMP® 5.

If you are new to our technology or just getting started this event is for you. We will introduce the basics of the Evosep One technology and include hot-from-the-lab data from our users. Nicolai Bache, Head of Applications at Evosep, will host the event, bringing you up to speed with the latest additions to the Evosep One technology.
The Evosep One is a plug-and-play standardized platform designed for robustness and high throughput. It has been designed specifically to address and eliminate the prevalent challenges associated with throughput and robustness of nano-flow LC-MS workflows while maintaining sufficient sensitivity and resolving power for clinical applications.
The Evosep One technology is centered around the Evotip and integrates sample preparation with LC-MS. The Evotip is essentially a disposable trap column in a pipette tip format with a small plug of C18 stationary phase at the bottom of the tip. The Evotips are used to desalt and clean up the samples prior to LC-MS analysis, however, the traditional subsequent steps of eluting, drying down, re-suspending the samples from tips are completely omitted and instead the tips are loaded directly into Evosep One for analysis.
The system uses four low-pressure syringe pumps in parallel to elute samples from the Evotip with a chromatographic gradient. The resulting gradient with the pre-separated sample is moved into a storage loop, that is then switched in-line with a single high-pressure pump and an analytical separation column for focusing. With this simplified workflow on pre-set gradients, the Evosep One offers a throughput from 30 to 300 samples per day.
<h5>1. A beginner’s guide to the Evosep One</h5>
<ul>
<li>Presenter: Nicolai Bache (Head of applications at Evosep)</li>
</ul>
The Evosep One technology is centered around the Evotip and integrates sample preparation with LC-MS. The Evotip is essentially a disposable trap column in a pipette tip format with a small plug of C18 stationary phase at the bottom of the tip. The Evotips are used to desalt and clean up the samples prior to LC-MS analysis, however, the traditional subsequent steps of eluting, drying down, re-suspending the samples from tips are completely omitted and instead the tips are loaded directly into Evosep One for analysis.
<h5>2. To be announced</h5>
<ul>
<li>Presenter: Anh Reynolds (Associate Scientist at BMS)</li>
</ul>
<h5>3. Clinical proteomics in the fast lane – Combination of robust LC, timsTOF based IMS-MS and GPU powered data processing</h5>
<ul>
<li>Presenter: Allan Stensballe (Industrial PHD at Aalborg University)</li>
</ul>
Mass spectrometrists who have been in the proteomics field long enough to be users of both early gel-free and gel-based strategies have learned to appreciate robust and fast analysis pipelines. As clinical proteomics projects now increasingly moves towards larger cohort studies and integration in multiOmics projects the stability and reproducibility of LC-MS to data analysis is imperative. In this talk I will highlight our experiences, project examples and thoughts on use of clinically optimized and standardized workflows.

A beginner’s guide to Evosep

The Evosep One is a plug-and-play standardized platform designed for robustness and high throughput.

Do you want to achieve the same chromatography in a shorter timeframe? Ever wondered why your method looks different on a different LC system even though you did everything exactly the same?
This webinar will introduce you to:
<ul>
<li>Isocratic and gradient method translations. This will include adjusting column dimensions (eg. scaling a method up or down) to increase productivity or move from analytical to prep</li>
<li>Moving between different instruments (eg. transferring a method between sites)</li>
<li>Modifying particle platforms (eg. between fully porous and solid-core silica particles)</li>
</ul>
We discuss both theory, and practical examples for successful translation and common reasons for failed method translations or transfers.
The use of a free Excel based tool for automatically performing the calculations is also highlighted.
<blockquote>
Presenter: Gemma Lo
</blockquote>
<blockquote>
Gemma Lo is a Portfolio Manager at Avantor, based in the UK, looking after the self-manufactured chromatography portfolio which includes HPLC, UHPLC, GC and sample preparation products. Gemma has over a decade of experience working in the Hichrom technical support team, troubleshooting chromatography methods, recommending suitable column chemistries and supporting the vast range of HPLC &amp; UHPLC columns. Additional experience in HPLC column manufacture and business development are used to support the portfolio.
</blockquote>
<blockquote>
Originally a Biochemist, focus areas include the analysis of biomolecules and polar analytes by various chromatographic techniques and works in close collaboration with the Avantor R&amp;D and applications team.
</blockquote>

VWR: LC Method translations and transfers: Do's & Don'ts 

LC Method translations and transfers: Do's & Don'ts

Do you want to achieve the same chromatography in a shorter timeframe?

LC Method translations and transfers: Do's & Don'ts 

At the analytical scale, liquid chromatography (LC) is widely used by scientists to separate, quantify, and characterize components in mixtures. At the preparative scale, LC is primarily used to purify samples for further downstream analysis. The adoption of preparative LC into a workflow, with larger columns and instrumentation, can appear to be a daunting task. However, by following some fundamental guidelines and a little practical advice, it can be quite simple.
<h5>Key learning objectives</h5>
<ul>
<li>Become familiar with the analytical to preparative chromatography workflow</li>
<li>Learn strategies to efficiently develop methods for purification success</li>
<li>Know how to avoid or recover from common mistakes</li>
<li>Understand how to think like a purification scientist</li>
</ul>
<h5>Who should attend?</h5>
<ul>
<li>Analytical and medicinal chemists who want to learn more about purification or preparative LC, or regarding scale-up from analytical to preparative LC</li>
<li>Lab managers supporting purification labs</li>
<li>Scientists who are curious about incorporating purification into their laboratory workflow</li>
</ul>
 
<blockquote>
Presenter: Scott Bollen (Business Development Manager EMEA, Agilent Technologies)
</blockquote>
<blockquote>
Scott specializes in small molecule LC columns, ranging from HPLC to UHPLC. Scott has worked at Agilent for 17 years. He started as a technical support manager, and now supports new LC products in R&amp;D as well as the entirety of the existing small molecule LC column portfolio in business development.
</blockquote>

Agilent Technologies: Scale Up from Analytical to Prep with Agilent Prep LC Columns

Scale Up from Analytical to Prep with Agilent Prep LC Columns

Become familiar with the analytical to preparative chromatography workflow and learn strategies to efficiently develop methods for purification success.

From Analytical to Prep with Agilent Prep LC Columns

Join us on 18 &amp; 19 January for two half days of virtual presentations as we help you to navigate the every day challenges faced with the analysis of oligonucleotides. Presented by experts in the industry and the Agilent biopharma team, these short talks are designed to educate and provide insight from basic oligonucleotide assessment, through to the more advanced applications. Q&amp;A sessions will follow each presentation to give you the opportunity to engage with our speakers.
The agenda will cover these topics below and more!
<ul>
<li>Introduction to Oligonucleotide Therapeutics</li>
<li>Analytical &amp; Purification Methods</li>
<li>Workflows for Oligonucleotide CQAs</li>
<li>Practical Tips &amp; Tricks for Preparative HPLC</li>
<li>Analysis of mRNA 5&#39; Capping and Poly-A Tailing by High Resolution LC/MS</li>
</ul>
<h3>Agenda Day 1</h3>
<h5>10:00  Welcome to Agilent Oligo Insight Days</h5>
<h5>10:10  A Beginners Guide to LC/MS for the Analysis of Oligonucleotides</h5>
<h5>10:45 Analysis of mRNA 5&#39; Capping and Poly-A Tailing by High-Resolution LC/MS</h5>
<h5>11:20 Nucleic Acids Therapeutics Delivery by LNPs: Fundamentals and Characterizations</h5>
<h5>12:05 Oligonucleotide Purification - Tips and Tricks How to Scale Up!</h5>

Agilent Technologies: Agilent Oligonucleotide Insight Days

Agilent Oligonucleotide Insight Days (Day 2)

Taking A Deeper Dive into Oligonucleotide Analysis

It takes time, money, and resources to generate laboratory data, so any loss of data is a direct financial loss to your regulated company, as well as a major compliance risk. &nbsp;Laboratory data must be secured and available to support product quality decisions, both at the time of decision making and for the full duration of the mandated retention period.A regulated company must ensure its data is retained through the retention period and maintains its integrity during that time. &nbsp;While external assistance can be sought with activities such as backup and restore, disaster recovery and business continuity planning, archiving, system administration and cybersecurity, the overall responsibility for the regulated data remains with the regulated company.Key points of discussion will be:<ul><li>Working with Servers</li><li>Having a Backup and Restore Plan</li><li>Developing a Disaster Recovery Plan</li><li>Have a Business Continuity Plan</li><li>Archiving Data</li><li>Cybersecurity Considerations</li><li>Updates to Software</li></ul>Please join us for a live discussion as we explore this topic. &nbsp;As always, don’t forget to bring your Empower questions for this exclusive opportunity to ask our experts anything about Empower Software.<blockquote>Presenter: Neil Lander (Principal Product Manager, Informatics, Waters Corporation)Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager focusing on Informatics solutions. He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.Presenter:&nbsp;Fiona O'Leary (Informatics Consultant, Waters Corporation)Fiona is an experienced Empower Software and Data Integrity professional working within the EU Professional Services Team.She has ~18 years of experience with Waters, beginning with Technical Support &amp; Empower Training, moving to Empower Consultancy and Workflow Optimization in more recent years. Her focus now is on building Data Integrity into the Lab workflow, Custom Field automation and Electronic Data Review / Reporting optimization. Prior to joining Waters, Fiona spent some years in the GxP Pharmaceutical Manufacturing world, setting the scene for her current goal of helping organizations achieve their scientific and operational objectives efficiently and within compliance guidelines. She graduated from Dublin City University in 2001 with a BSc Hons. Analytical Science.</blockquote>

Waters Corporation: Empower Tips Ask Me Anything About Durable Data: A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

Empower Tips Ask Me Anything About Durable Data: A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

Protecting lab data is critical for compliance and financial health. Learn key strategies for secure retention, recovery, and cybersecurity in regulated labs.

Guide to Lab Data Security & Availability

Leprechaun is the only system that hunts down viral titer by double-checking if particles are the right size and have the right structure. Count up your lentiviruses with capsids in crude or pure samples. Make your own luck and follow Leprechaun straight to the viral titer you’ve been looking for without the noise from trickster particles that can throw you off the trail. &nbsp;<blockquote>Presenter:&nbsp;Kevin Lance PhD (Marketing Manager, Analytical Instruments, Unchained Labs)Moderator: Alex Shephard (Market Manager, Cell Therapy at Unchained Labs)Alex Shephard is the Market Manager for Cell Therapy at Unchained Labs. She has many years of experience at the bench and as a field application scientist characterizing exosomes and viruses, using techniques including NTA, DLS, nanoflow cytometry and interferometry. Alex completed a Ph.D. in Molecular Biology at Bristol University, UK, and held a postdoc position in the Tumour Microenvironment Group at Cardiff University, UK.</blockquote>

Unchained Labs: Leprechaun leads you to lentivirus gold

Leprechaun leads you to lentivirus gold

Track down true lentiviral titer with Leprechaun—verify size and structure to count only real capsids in crude or pure samples, no tricks from false particles.

Evolution of USP<1058> updates and insights in regulations

LC Method translations and transfers: Do's & Don'ts

Leprechaun leads you to lentivirus gold

Recent Advances in Oligo Purity and Sequence Determination by LCMS

A beginner’s guide to Evosep

A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

Agilent Oligonucleotide Insight Days (Day 2)

Empower Tips Ask Me Anything About Durable Data: A Guide to Ensuring Your Data Is Secure and Available from Creation Thru the Full Mandated Retention Period

Sample Preparation for Improved LC Bio Separations

Scale Up from Analytical to Prep with Agilent Prep LC Columns

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