Here in Episode #29, podcast host Dr. Jerry Workman speaks with Dr. Thomas Mayerhöfer  from the Leibniz Institute of Photonic Technology in Jena, Germany, about quantitative spectroscopy and wave optics in infrared spectroscopy, including the theory, simulation, and modeling aspects.

Ep 29: Quantitative Spectroscopy and Wave Optics in Infrared Spectroscopy

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Dr. Molly Atkinson, Assistant Professor of Chemistry at the University of North Texas in Denton, TX, and her graduate student David Hamilton. Atkinson and Hamilton are experts in Chemistry Education Research (CER), and they recently published a paper discussing results of a survey of bachelors-level chemists working in industry that asked them “What does industry want new chemists to know?”. The paper, published earlier this year in the Journal of Chemical Education, generated quite a lot of buzz on analytical chemistry social media.

In the conversation we talk about highlights from the article, and touch on potential future work that could fill in knowledge gaps identified by the first survey. The survey revealed some trends that will be familiar to readers of LCGC Magazine. For example, the surveyed chemists indicated that liquid and gas chromatography are two of the top five most important instrumental techniques that new chemists entering industry should know how to use. On the other hand, the survey also revealed some surprising results - for example, nuclear magnetic resonance (NMR) spectroscopy was not in the top-five instrumental techniques, despite that NMR occupies a prominent position in most undergraduate chemistry curricula in the United States. Finally, the guests and co-hosts discuss a bit about how Chemistry Education Research “works”, for listeners who are less familiar with this discipline than other more traditional research areas.

Ep. 28: What does industry want new chemists to know?

Here in Episode #31, podcast host Dr. Jerry Workman speaks with Dr. Barry M. Wise, Founder and President of Eigenvector Research, Inc. about the meaning of the terms chemometrics, artificial intelligence (AI), machine learning (ML), and  neural networks (NNs) within the context of analytical chemistry and process analysis.

Ep 31: Clarifying the Meaning of Chemometrics in the World of Artificial Intelligence (AI)

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Dr. Farooq Wahab, Research Engineering Scientist at the University of Texas at Arlington. Wahab has interests and expertise in chiral separations, improving the green-ness of chromatographic separations, new detectors for chromatography such as microwave rotational spectroscopy, and new techniques for signal processing in chromatography, among other areas. He and several coauthors recently published a paper in Analytical Chemistry discussing their experiences using generative artificial intelligence (i.e. chatGPT) as a research assistant when working on tasks in measurement science ranging from extraction of rotational microwave spectra from free induction decay signals, to baseline removal from chromatographic data.

In the conversation we talk about the origins of this study, strengths and weaknesses of chatGPT as a research assistant in the analytical chemistry space, and the role of generative AI in chemistry teaching and learning. We also touch on tips and tricks also published by Wahab and coworkers for dealing with equations and symbol-heavy text when using generative AI tools. One very interesting application of these tricks is in the translation of relatively old (decades) papers that were published before English became the standard language for much of science publication.

Ep. 30: The Potential of Generative A.I. as a Research Assistant for Measurement Science

Here in Episode #33, podcast host Dr. Jerry Workman speaks with Dr. Brian G. Rohrback, President of Infometrix, Inc. in Bothell, WA, USA—who has been active in chemometrics research and creating software for complex calibrations and multivariate data analysis since 1983. Infometrix was founded by researchers Bruce Kowalski and Gerry Erickson in 1978.  We have invited Brian to our Analytically Speaking podcast to discuss his research and experience in automating the process of building multivariate calibrations.

Ep 33: Automating Chemometrics for an Expert Calibration System

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Dr. Benjamin Garcia. Dr. Garcia is the Raymond H. Wittcoff Distinguished Professor and Head of the Department of Biochemistry and Molecular Biophysics in the School of Medicine at Washington University in St. Louis. His research interests primarily focus on the development of mass spectrometry-based proteomic approaches for the analysis of post-translational modifications of proteins (PTMs) and modified proteomes. His group specializes in high-throughput and quantitative analysis of many classes of modified proteins, especially epigenetic histone PTMs. He is a prolific author and scientific leader, with an h-index approaching 120. He has received a LOT of awards to date, but we sat down with him at the Eastern Analytical Symposium where he was recognized for his recent EAS Award for Outstanding Achievement in Mass Spectrometry.

In the conversation we talk about the origins of Dr. Garcia’s interests in analytical science, mass spectrometry, and biomedical research, and he shares his thoughts about the current state and near future for technologies used for biomolecule separations including peptides, proteins, and oligonucleotides. We also discuss Dr. Garcia’s highly impactful efforts to promote participation in the analytical sciences by people from all backgrounds, and he shares some thoughts about the “to-do list” for his upcoming term as chair of the ACS Division of Analytical Chemistry.

Ep. 32: Don’t skip seminar…you might miss a life-changing event

Perrault Uptmor of William & Mary, and Dr. Emanuela Gionfriddo of SUNY at Buffalo. Kate and Emanuela are both returning guests of the pod (see episodes 2 and 14), and joined us on-site at the Boston Convention Center to reflect on what we saw and heard at Pittcon 2025. 

In a wide-ranging conversation, we touch on a variety of aspects of the Pittcon experience, including networking opportunities, award sessions recognizing both early-career scientists and achievements over lifetimes, and of course trends in various areas as observed from the numerous technical sessions and talks.

Several notable award sessions honoring great work in separation science included:
●	ACS Division of Analytical Chemistry Young Investigator in Separation Science - awarded to Prof. Xiao Su of the University of Illinois at Urbana-Champaign
●	Pittcon Analytical Chemistry Award - awarded to Prof. Dan Armstrong of the University of Texas at Arlington
●	LCGC Emerging Leader Award - awarded to Prof. Katelynn Perrault Uptmor of William & Mary
●	LCGC Lifetime Achievement Award - awarded to Christopher Pohl of CAP Chromatography and Consulting
●	Chromatography Forum of the Delaware Valley Dal Nogare Award - awarded to Terry Berger

Some of the trends discussed during the episode include developments in the use of machine learning and artificial intelligence tools in our field, multi-dimensional separations, green chemistry, and more!


Ep. 34: A Banner Year for Separation Science at Pittcon 2025

Here in Episode #35, podcast host Dr. Jerry Workman speaks with Dr. Ellen V. Miseo, who has been active in vibrational spectroscopy and instrument development her entire career and is formally trained as a physical chemist. She has worked for instrument companies as well as run laboratory operations. She is past president of both the Coblentz Society and Society for Applied Spectroscopy and currently heads Miseo Consulting.

We have invited Ellen to our Analytically Speaking podcast to discuss the current activities of SAS and Coblentz to foster further education in the essential aspects of spectroscopy for current and future practitioners.  


Ep 35: On the Subject of Continuing Education for Spectroscopists.

In this episode, podcast co-hosts Dr. Dwight Stoll and Dr. James Grinias talk with Dr. Alix Rodowa, Research Chemist within the Organic Chemical Metrology Group at the National Institute of Standards & Technology (NIST) in Gaithersburg, Maryland. At NIST, she is the Environmental Sector Task Lead for the Organic Analysis Working Group for the Consultative Committee for Amount of Substance: Metrology in Chemistry and Biology (or CCQM).

After discussing some of the events that sparked Dr. Rodowa’s interest in science, and analytical chemistry in particular, we discuss her path to a career as a NIST scientist, including cold-emailing potential research advisors, and an experience as a National Research Council (NRC) postdoctoral fellow. We then discuss her work on polyfluoroalkyl substances (PFAS), including the development of the PFAS Interference List - affectionately known as the “PIL” - and the development of a Standard Reference Material (SRM) for that research area. We also touch on emerging uses of machine learning in workflows for analytical target and suspect screening. Finally, Alix provides some insight into a day in the life of a NIST scientist, why she enjoys working in a government laboratory, and how aspiring scientists can explore this environment as a potential career option.


Ep. 36: A Day in the Life of a NIST Scientist

Here in Episode #37, podcast host Dr. Jerry Workman speaks with Dr. Austin Daniels, application scientist for Yokogawa Fluid Imaging Technologies. This Episode will focus on flow imaging microscopy (FIM), a new technology for subvisible particle characterization in biologics.

We have invited Austin to our Analytically Speaking podcast to discuss the current trends and state of using FIM to ensure the quality and safety of biologics. This requires precise monitoring of subvisible particles, which can impact drug efficacy and patient health. Traditional analysis methods, such as light obscuration (LO) and membrane microscopy (MM), provide limited data on particle types and morphology, making it difficult to pinpoint contamination sources.



Ep 37: On the Subject of Flow Imaging Microscopy in Collaboration with the American Association of Pharmaceutical Scientists

Here in Episode #39, podcast host Dr. Jerry Workman speaks with Dr. Macarena Garcia Marin, who is an astrophysicist and instrument scientist for the European Space Agency based at the Space Telescope and Science Institute in Baltimore, MD USA. She will be discussing the highlights of the role of the James Webb Space Telescope, also known as JWST, and its abilities and discoveries using the science of spectroscopy in space, since performing spectroscopic research since its launch in 2021.

We have invited Macarena to our Analytically Speaking podcast to discuss the current discoveries using JWST and what the future hopes are for a deeper understanding of the amazing universe that surrounds our home, planet Earth.  



Ep 39: Space and Spectroscopy: Two Very Important Things” or “The Universe and Spectroscopy”

Analytically Speaking, the podcast from LCGC and Spectroscopy magazines, addresses important issues in separation science and analytical spectroscopy. Topics include new analytical techniques, methods, and approaches; the latest trends; advances in instrument and software technology; practical solutions for specific applications; recent papers in the scientific literature and their applicability; challenges and solutions for data analysis and interpretation; analytical chemistry theory and fundamentals (from advanced research to tutorials and troubleshooting); and more. Our regular hosts are Dwight Stoll, PhD, a professor of chemistry at Gustavus Adolphus College in St. Peter, Minnesota, and Jerry Workman, PhD, a spectroscopist, noted author, and currently the Senior Technical Editor of Spectroscopy and LCGC. Dwight covers separation science and Jerry addresses spectroscopy related topics.

Ep. 28: What does industry want new chemists to know?

Analytically Speaking

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