Podcasts

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with two recent award winners live from the Pittcon conference in San Antonio, Texas: Dr. Bob Pirok and Dr. Justin Godinho. Dr. Bob Pirok is an Associate Professor at the University of Amsterdam in the Netherlands, where he also completed his Ph.D. under the direction of Professor Peter Schoenmakers. He is an expert in multi-dimensional chromatography and the application of machine learning within the field. At Pittcon we celebrated his receipt of the Emerging Leader in Chromatography Award, presented by LCGC International Magazine. Dr. Justin Godinho is a Senior Principal Scientist at GlaxoSmithKline (GSK) in Upper Providence, Pennsylvania. He completed his undergraduate work at Davidson College and his Ph.D. under the direction of Professor Jim Jorgenson at the University of North Carolina at Chapel Hill. Before joining GSK, he worked in the column manufacturing business with Advanced Materials Technology. He is a recognized expert in column technology at both capillary and analytical scales, as well as the analysis of small and biotherapeutic molecules. At this year's conference, he received the Young Investigator in Separation Science Award, sponsored by the ACS Division of Analytical Chemistry. In the conversation, we discuss the recent award sessions for both guests and the evolution of their respective careers. We explore Justin’s transition from fundamental column packing research to biopharmaceutical applications at GSK, touching on the ongoing need for protein-suitable columns, capillary-scale techniques, and the Hydrophobic Subtraction Model column database. We then shift to Bob’s research on automated method development discussed at the meeting. This includes a deep dive into data-driven chromatography, the complexities involved in establishing effective Chromatographic Response Functions (CRFs), and why setting realistic expectations for artificial intelligence and automated method development is critical to avoiding a future "AI winter."

The October 2025 FDA draft guidance for biosimilars marks a major shift toward greater reliance on analytical data. Most notably, it signals a move to reduce or even eliminate comparative efficacy studies when robust analytics can provide equivalent insight, detecting subtle differences that clinical studies often miss. Biosimilar development will continue to require comprehensive analytical packages, with emphasis on orthogonal techniques. This session features Colette Quinn from Waters Corporation, who discusses how analytics support biosimilar development and help meet the FDA’s “totality-of-evidence” expectations.

In this podcast, Lorna De Leoz, Agilent Global Food Segment Director, highlights all things PFAS in food and beverage testing. From the emerging safety concerns from PFAS and how it has a major impact on our food supply to the importance of testing PFAS in food and inherent challenges. With global legislation rapidly changing, manufacturers face challenges on how to test and meet the requirements to maintain safe food. Listen now to learn about the current challenges and what the future landscape of PFAS in food, ingredient, and beverage testing may look like.

On the latest Analytically Speaking podcast, Dwight Stoll and James Grinias chat with Kelly Hines from the University of Georgia in Athens, USA, about her journey into analytical chemistry—and her work using IMS-MS and chromatography for multi-omics studies at the metabolite level.

Leslie Wubbel, SaaS Product Manager at LabVantage, shares how the LabVantage cloud-based Laboratory Information Management System (LIMS) platform enables laboratories to digitally transform operations, unify workflows, and improve scalability across various industries. The discussion highlights market forces driving LIMS adoption, projected to grow by $1.6 billion, and explains how the platform utilizes Software as a Service (SaaS) and AI capabilities to accelerate R&D and go-to-market timelines. Learn more about:

In this episode of Analytically Speaking, explore the intersection of forensic science and cannabis research with Brent Wilson as he shares insights on analytical chemistry and standards.

In this podcast, Daniel DeBord, CTO of MOBILion Systems, describes a new high resolution mass spectrometry approach that promises to increase speed and sensitivity in omics applications. MOBILion recently introduced the PAMAF mode of operation, which stands for parallel accumulation with mobility aligned fragmentation. It substantially increases the fraction of ions used for mass spectrometry analysis by replacing the functionality of the quadrupole with high resolution ion mobility. Listen to learn more about this exciting new development.

Peter Pellegrinelli, Applications Specialist at Advanced Materials Technology (AMT) explains the complexity of oligonucleotide separations due to the unique chemical properties of these molecules. Issues such as varying length, sequence complexity, and hydrophilic-hydrophobic characteristics make efficient separations difficult. Separation scientists are addressing these challenges by modifying mobile phase compositions, using varying ion-pairing reagents, and exploring alternative separation modes like HILIC and ion-exchange chromatography. Due to these complexities, AMT has introduced the HALO® OLIGO column, which offers high-resolution, fast separations through its innovative Fused-Core® technology and high pH stability. Alongside explaining the new column, Peter looks to the future of these separations and what is next to come.

Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.

In high-performance liquid chromatography (HPLC), it is common for bases and unreacted ionized silanols on silica-based columns to cause irreproducible retention, broad peaks, and peak tailing when working with basic analytes. David S. Bell, Lead Consultant at ASKkPrime LLC offers innovative HPLC strategies that can help mitigate such issues.