
On this episode of Concentrating on Chromatography, hosts David Oliva @Organomation and Candice Gokey are joined by Matthew Lewis @Bruker to unpack the new hybrid metabolomics workflow born from Bruker's acquisition of @biocrates .For 20 years, mass spectrometrists have had to choose between targeted quantitation and untargeted discovery. Matthew explains how chemical derivatization, high-resolution mass spec, and Biocrates' 1,000+ metabolite kits now let researchers get both — without running samples twice.Topics covered: - Why "there's no such thing as an untargeted platform, just an uninformed one" - How the Biocrates MX Quant Kits standardize sample prep and derivatization - NMR vs. mass spectrometry for metabolomics — and why electrospray ionization is metabolomics' "biggest Achilles heel" - Data-dependent (DDA) vs. data-independent (DIA) acquisition, explained simply - Trapped Ion Mobility Spectrometry (TIMS) and collisional cross-section (CCS) as a "gas-phase chromatography" tool for resolving isomers and interferences - In silico derivatization software for annotating derivatized metabolites - The "digital metabolome archive": building future-proof, reanalysis-ready 4D data (MS1 + retention time + CCS + MS/MS) for AI-ready datasets - Why standardization — not just new features — is what will move the metabolomics field forwardMatthew also shares insights from Bruker's collaboration with Dr. Michael Witting at the Helmholtz Institute, and discusses the real-world sample constraints (biobanks, field research, precious cohorts) driving demand for do-more-with-less workflows.Guest: Matthew Lewis, Bruker — https://www.linkedin.com/in/matthew-reese-lewis/Co-host: Candice Gokey — https://www.linkedin.com/in/cmgokey15/Host: David Oliva, Organomation#Metabolomics #MassSpectrometry #Chromatography #Bruker #Biocrates #Lipidomics #SystemsBiology #TIMS #IonMobility
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Episode 78: SPME, PFAS & Green Chemistry with Dr. Emanuela Gionfriddo

Episode 76: PFAS Are Everywhere — And 99% Go Undetected | Dr. Viktoria Müller

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Episode 74: Decoding the Glycocode: AI-Powered Glycoproteomics & Cancer Research | Jacob Russell (Riley Lab, UW)
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