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Concentrating on Chromatography: Daily Summaries Delivered
by David Oliva
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!
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- 3 days ago39 min
Episode 71: In Silico Modeling, 2D-LC & Green Chromatography: Imad Ahmad on the Future of Method Development
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.Topics covered:- 00:00 – Imad's background: polymer analysis, a postdoc with Peter Carr, and the path through Novartis, Merck, and Amgen- 02:00 – How an undergrad project analyzing bread sparked a career in analytical chemistry- 06:00 – A day in the life leading a discovery-stage separations team- 08:00 – Advice for students bridging academia and industry- 12:00 – In silico modeling explained: how nine experiments can map a full separation- 14:00 – Reading a resolution map- 16:00 – Why trial-and-error gets risky at late-stage development- 20:00 – Where modeling breaks down: large molecules, SFC, and the case for autonomous method development- 24:00 – Two-dimensional LC, explained for anyone who's only run 1D- 27:00 – Why 2D-LC adoption has been slow — and what's changing- 29:00 – Mapping analytical greenness across the separation space- 32:00 – Acetonitrile vs. methanol: balancing green chemistry with performance- 35:00 – Advice for students: don't treat HPLC as a black box- 37:00 – The biggest unsolved problem in separation scienceConnect with Imad Haidar Ahmad: LinkedIn: https://www.linkedin.com/in/imadhaidarahmad 🎧 Listen to Concentrating on Chromatography on Spotify — https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL?si=n9GLz9zjSCOrVfXPxFPhng🔔 Subscribe for more conversations on chromatography, sample prep, and analytical chemistry.#chromatography #AnalyticalChemistry #HPLC #2DLC #MethodDevelopment #GreenChemistry #Pharma
- 1 weeks ago23 min
Episode 70: AIMS vs. LC-MS for Cancer Diagnostics: ccRCC Metabolomics with Rachel Wood | Queen's University
What if you could assess a tumor's metastatic potential — without extensive sample prep — directly from tissue? Rachel Wood is working on exactly that.Rachel Wood is a PhD candidate at Queen's University (Kingston, Ontario), working jointly in the labs of Dr. Richard Oleschuk (Chemistry) and Dr. Chris Nicoll (Pathology & Molecular Medicine). Her research applies Ambient Ionization Mass Spectrometry — specifically the Liquid Microjunction Surface Sampling Probe (LMJ-SSP) and Desorption Electrospray Ionization (DESI) — to profile the metabolomics of non-metastatic and metastatic clear cell Renal Cell Carcinoma (ccRCC) cell lines. The long-term goal: a rapid, minimally invasive MS-based prognostic tool for kidney cancer.This is the first reported use of LMJ-SSP to assess metastatic status in ccRCC — and early PCA results are already showing distinct separation between cell line profiles.In this episode, David and Rachel cover:→ Why ccRCC is such a resistant biomarker problem despite active genomic, proteomic, and metabolomic research→ The clinical stakes of "diagnosed by accident" — and what a prognostic biomarker actually needs to do for a clinician→ How AIMS complements (not replaces) LC-MS in a discovery-phase cancer workflow→ LMJ-SSP vs. DESI: what each technique sees that the other misses, including spatial resolution differences (~1mm vs. ~50µm)→ Why Rachel runs LMJ-SSP on both a triple quad and a Q-TOF — and what each instrument contributes to the same research question→ How her lab repurposed a 3D printer as a custom automated XYZ sampling stage with 50µm movement precision→ Managing high-dimensional metabolomics data across two polarities, two cell lines, and two mass analyzers — the pipeline explained→ What unsupervised machine learning (PCA) showed in early results→ The path from cell lines to excised tumor tissue to, ultimately, liquid biopsies→ Advice for analytical chemists considering work at the chemistry–oncology interface🔗 CONNECT WITH RACHEL WOODLinkedIn: https://www.linkedin.com/in/rachel-wood-7b64492a2/Queen's University – Oleschuk Lab: https://oleschuklab.ca/📬 CONCENTRATING ON CHROMATOGRAPHYWebsite: https://concentratingonchromatography.com/Organomation: https://www.organomation.com🔬 ABOUT ORGANOMATIONOrganomation manufactures nitrogen blowdown evaporators, nitrogen generators, and sample concentration instruments for analytical laboratories worldwide#MassSpectrometry #AmbientIonization #Metabolomics #KidneyCancer #ccRCC #DESI #AIMS #CancerResearch #AnalyticalChemistry #Chromatography #Biomarkers #LiquidBiopsy #ReanalCellCarcinoma #MachineLearning #PCA #LabScience #GradSchool #Queen'sUniversity #Oncology #SamplePreparation
- 2 weeks ago45 min
Episode 69: Droplet Cyclic Ion Mobility Mass Spec: Compressing Months of Enzyme Screening Into Just 14 Hours!
What if you could compress 179 days of grueling laboratory workflow into just 14 hours?In this episode of @ChromatographyTalk , @Organomation General Manager David Oliva sits down with analytical chemist Laura Penabad to discuss her groundbreaking new research in biocatalysis and high-throughput screening. Evolving engineered enzymes typically requires checking thousands of variants—a massive bottleneck when traditional Liquid Chromatography-Mass Spectrometry (LC-MS) runs take minutes per sample. Laura reveals how her team built a modular screening platform that shatters this limitation, running samples 128 times faster than standard methods without sacrificing analytical accuracy.Laura breaks down the "orchestra" of technologies making this possible, including coupling nanoliter droplet microfluidics with Cyclic Ion Mobility-Mass Spectrometry (cIM-MS) to separate complex chemical isomers in milliseconds. She also shares the chaotic but triumphant behind-the-scenes stories of her PhD journey—from presenting a "comically bad" early poster at ASMS to recruiting an undergraduate mechanical engineer to build custom automation software from scratch.If you are an early-career researcher, a mass spec enthusiast, or curious about the future of synthetic biology and machine learning in chemistry, this episode is packed with invaluable intuition and advice.#MassSpectrometry #AnalyticalChemistry #Chromatography #Biocatalysis #DirectedEvolution #IonMobility #PhDJourney #LabAutomation #WomenInSTEM #SyntheticBiology
- 3 weeks ago59 min
Episode 68: Peak Fitting, Deconvolution & AI in Chromatography
Chromatography software hasn't fundamentally changed in decades — but the peaks it's trying to measure have gotten a lot harder to solve. In this episode of @ChromatographyTalk I sit down with Ron Brown, creator of PeakFit and PeakLab, and returning guest Dr. M. Farooq Wahab, analytical chemist and research engineering scientist at the University of Texas at Arlington, to dig into the real science (and art) of peak modeling.We cover why baseline subtraction and denoising matter before you ever touch a peak model, the difference between true mathematical deconvolution and the "deconvolution" most chromatographers mean when they say it, and why mass balance is the line between a valid peak model and bad science. Ron walks through the historical roots of peak modeling going back over a century, and explains how his HVL and generalized moment models build on pioneers whose work rarely gets the recognition it deserves.We also get into resolving completely co-eluting peaks using 3D PDA/DAD data, multivariate curve resolution, and derivative-based zero-crossing methods — techniques that go well beyond what a single chromatographic dimension can tell you. And we close with a candid conversation about generative AI's growing role in analytical chemistry: where it genuinely accelerates good science, where it's eroding foundational skills in newer chemists, and why Farooq argues AI is only as useful as the prepared mind using it.In this episode:- What peak modeling actually solves that chromatography alone can't- Why baseline correction and denoising come before any modeling step- The historical origins of peak fitting, from Carl Clarison to Van der Linden- True deconvolution vs. what the field commonly (and incorrectly) calls deconvolution- Why mass balance is non-negotiable in a valid peak model- Using the F-statistic and information criteria to choose the right model complexity- Resolving fully co-eluting peaks with 3D spectral data and MCR-ALS- Generative AI's expanding role in chromatographic data processing — and its risks for early-career scientistsAbout our guests:Ronald E. Brown is a chemical engineer trained at Purdue University with 36 years of experience developing chromatography and spectroscopy peak modeling software. He is the sole developer of PeakFit and PeakLab, used by spectroscopists, chromatographers, and defense researchers worldwide. His paper on detecting outliers in nonlinear regression using the false discovery rate has been cited more than 1,950 times.Dr. M. Farooq Wahab is an analytical chemist and research engineering scientist at the University of Texas at Arlington. He earned his PhD from the University of Alberta and focuses his research on data processing, non-linear denoising, deconvolution, and generative AI applications in analytical chemistry.🎧 Listen to more episodes of Concentrating on Chromatography: https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL?si=n9GLz9zjSCOrVfXPxFPhng🔗 Learn more about Organomation's nitrogen blowdown evaporators and sample prep instruments: https://www.organomation.com/#Chromatography #PeakFitting #AnalyticalChemistry #MassSpectrometry #Deconvolution #ChemometricsAI #HPLC #LabScience
- Jun 29, 202635 min
Episode 67: Is Your Lab Sitting on a Data Goldmine? AI, Deep Learning, & Mass Spectrometry with mzio
Welcome back to another episode of Concentrating on Chromatography! In this episode of @ChromatographyTalk host David Oliva sits down with Dr. Ansgar Korf, CEO and Co-Founder of mzio GmbH, to explore how their vendor-agnostic platform is fundamentally changing how researchers and industrial users extract value from complex mass spectrometry data.Historically rooted in the open-source academic community as mzmine, Bremen-based mzio has evolved into a powerhouse for multimodal data analysis—spanning LC-MS, GC-MS, ion mobility MS, and MS-imaging. Ansgar pulls back the curtain on how laboratories can break free from proprietary vendor software stacks to streamline workflows across mixed-instrument fleets.We dive deep into their massive announcements from ASMS 2026, including FAIR-MS—an AI-powered initiative utilizing deep learning embeddings to automatically search and match new measurements against archived, historical data sets. We also break down the LIMMIC calibration project, their new small molecule and lipidomics dashboards, and how AI agents will shape the next 5 years of automated, real-time MS data acquisition.Whether you are an industry veteran or an early-career chemist, this episode is packed with insights on avoiding the "black box" of automated analysis while unleashing the true power of your lab's data.Mass Spectrometry, Chromatography, mzio, mzmine, FAIR-MS, LIMMIC, Lipidomics, Metabolomics, Open-Source Science, Analytical Chemistry, AI in Chemistry, Deep Learning, LC-MS, GC-MS, PFAS Analysis, Vendor-Agnostic Software, ASMS 2026
- Jun 22, 202633 min
Episode 66: Why Sustainable Labs Save Money: James Connelly, CEO of My Green Lab
Can sustainability actually make laboratories more efficient—and more profitable?In this episode of Concentrating on Chromatography, @Organomation General Manager David Oliva sits down with James Connelly, CEO of My Green Lab, to discuss how a grassroots movement founded by scientists evolved into the leading global organization for laboratory sustainability.James explains why sustainability is no longer just a "nice-to-have" initiative, how major pharmaceutical companies and funding organizations are driving change, and why laboratory suppliers and instrument manufacturers are becoming increasingly important in helping scientists achieve their environmental goals.Topics include:🔬 How My Green Lab grew from an academic movement into a global standard💰 Why sustainable laboratories often deliver significant financial ROI🏭 The changing role of laboratory equipment manufacturers and suppliers📊 What Scope 1, Scope 2, and Scope 3 emissions actually mean♻️ The ACT Eco Label and sustainable product design⚡ Renewable energy, recycled materials, and resilient supply chains🤖 AI-powered predictive maintenance and smart laboratory technologies🗑️ Emerging innovations in laboratory waste management🌎 Why sustainability is becoming a business imperative across life sciences🎓 The My Green Lab Ambassador and Accredited Professional programsWhether you're an analytical chemist, laboratory manager, instrument manufacturer, or simply interested in the future of scientific research, this episode provides practical insights into how sustainability is transforming laboratories around the world.Subscribe to @ChromatographyTalk for more conversations with leaders in chromatography, mass spectrometry, sample preparation, and analytical science.#Sustainability #GreenLab #MyGreenLab #LaboratoryScience #Chromatography #MassSpectrometry #AnalyticalChemistry #LifeSciences #ESG #SciencePodcast
- Jun 15, 202653 min
Episode 65: Why Scientists Need to Tell Their Story | Funding, Visibility & Industry Impact
Why should analytical chemists, chromatographers, and researchers care about science communication? Is publishing papers enough? How can scientists increase their visibility without spending hours on social media?In this episode of @ChromatographyTalk , David is joined by Lisa Jones and Johnnie Aycock, co-hosts of @TheNoonShow100.1 and creators of the upcoming BrightPath program on Alabama Public Radio. Together, they explore why communicating science matters—not just for public understanding, but for research funding, industry partnerships, talent development, and the future of innovation itself.From translating complex ideas with simple analogies to building relationships beyond the laboratory, this conversation offers practical advice for scientists who want their work to have a greater impact.In this episode:🔬 Why scientists need to tell their story beyond journal publications🎙️ How researchers can communicate complex science to non-scientists💡 Why visibility matters for funding, collaboration, and career opportunities🏭 Bridging the gap between academia and industry🤝 The importance of partnerships and advocacy for research📢 Practical first steps for chemists who want to promote their work🧪 Why conferences alone aren't enough to reach broader audiences🎓 How science communication can inspire the next generation of scientists🌎 The role of research in economic development and global competitiveness🎧 The vision behind BrightPath and bringing science stories to the publicMemorable topics discussed:Explaining chromatography through the analogy of making coffeeWhy researchers should "lead with why it matters"Lessons learned from interviewing scientists across AlabamaThe connection between research, workforce development, and economic growthHow communication can influence public support for scienceWhy showing up and building relationships often matters more than perfectionFeatured GuestsLisa JonesFormer University of Alabama Department of Chemistry & Biochemistry staff member (27 years)Co-host of The Noon ShowScience communication advocate and STEM enthusiastJohnnie AycockFormer President & CEO of the West Alabama Chamber of CommerceEconomic development leaderCo-host of The Noon Show🎙️ Concentrating on Chromatography explores chromatography, mass spectrometry, sample preparation, and the people advancing analytical science.If you enjoy conversations about analytical chemistry, LC-MS, GC-MS, sample preparation, and scientific careers, subscribe for future episodes featuring researchers, industry leaders, and innovators from around the world.#Chromatography #AnalyticalChemistry #MassSpectrometry #ScienceCommunication #STEM #Research #LCMS #GCMS #Chemistry #SciencePodcast #Scientists #AcademicResearch #Innovation #Spectroscopy #CareersInScience #ConcentratingOnChromatography
- Jun 9, 202635 min
Episode 64: The Chemistry of Human Decomposition: GC×GC, Body Farms, and Forensic Science
In this episode of @ChromatographyTalk David sits down with Dr. Darshil Patel, Assistant Professor of Forensic Science at the University of North Dakota, to discuss his remarkable journey from dentistry in India to becoming a leading researcher in forensic chemistry across Australia, Canada, and the United States.Dr. Patel shares how his work at human taphonomic facilities—commonly known as "body farms"—has helped advance our understanding of human decomposition and the volatile compounds released during the postmortem process. Using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS), his research aims to improve human remains detection, cadaver dog training, and the development of future electronic sensing technologies.Topics discussed include:🔬 How a dentist became a forensic scientist🌏 Working in Australia, Canada, and the United States⚰️ What human taphonomic facilities ("body farms") really do🧪 The chemistry of human decomposition📈 Why GC×GC-TOFMS excels at analyzing complex VOC mixtures🐕 How chromatography can improve cadaver dog training🤖 The future of electronic noses and human remains detection🏔️ Challenges posed by geography and environmental conditions🏫 Building a new forensic chemistry laboratory at the University of North Dakota🔍 The future of forensic chromatographyWhether you're interested in forensic science, chromatography, mass spectrometry, or the chemistry behind real-world investigations, this episode offers a fascinating look into one of the most unique applications of analytical chemistry.#ForensicScience #GCxGC #MassSpectrometry #Chromatography #Forensics #GCMS #TOFMS #AnalyticalChemistry #HumanDecomposition #VOCs #UniversityOfNorthDakota #CadaverDogs #BodyFarm #SeparationScience
About Concentrating on Chromatography
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!
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