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The Analytical Science and the Human Reviewer
a day ago
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Jeremy Koelmel
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Why CCS is a Game Changer for PFAS Analysis
2 days ago
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Sheher Mohsin
0:48
The Silent Error Ruining Your Mass Spec Data
3 days ago
by
Gary Siuzdak
0:41
The Extraction Trade-Off in PFAS Analysis
7 days ago
by
Jeremy Koelmel
0:41
The Truth About Capillary Columns
8 days ago
by
James P. Grinias
0:57
AI and "Phantom Metabolites"
8 days ago
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Gary Siuzdak
0:46
AI-Enabled FFF
16 days ago
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Valentina Marassi
0:38
Biopharma Analysis and FFF
18 days ago
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Claudia Zielke
0:48
Should Every FFF User be an Expert?
21 days ago
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Valentina Marassi
0:35
The Shift in Proteomics
a month ago
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Georg Wallman
Advancing Miniaturized Column and Instrument Technologies for Capillary Liquid Chromatography
A Look at Recent Updates
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LCGC International May/June Issue
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Why are Most Drugs Basic: Implications in Pharmaceutical Testing by HPLC
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A Look at the Latest Applications, Articles, and Interviews from the World of Chromatography
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Asked for one change to ease PFAS analysis, the panel points to better communication and smarter use of AI tools.
Melissa Dunkle, senior research scientist at Dow Benelux BV, The Netherlands, explores practical aspects of using multidimensional pyrolysis gas chromatography (Pyr-GCxGC) to investigate fluoropolymer degradation.
High-resolution liquid chromatography-tandem mass spectrometry (HRLC-MS/MS) reveals how low-oxygen burials preserve ancient brain proteins.
Soil chromatography reveals how fluridone herbicide persists in cotton farmland.
The experts compare direct injection and solid-phase extraction for handling PFAS in complex matrices.
Gas chromatography-mass spectrometry (GC-MS) reveals how alcohol and acidity shape climate-linked wine aroma compounds.
The panel tackles the paradox of background contamination: the lower detection limits go, the more PFAS turn up everywhere.
Gas chromatography (GC) shows ultrasound-treated pea starch reduces oil in fried corn starch foods.
AI/ML in Practice: Machine-learning Prediction of Chromatographic Retention Times for Small Molecules in Pharmaceutical Applications
Published: | Updated:
Daniel Vik from Amgen Research Copenhagen, Denmark discusses the motivation behind applying machine learning to chromatographic retention time prediction and its growing importance in modern pharmaceutical research. He shares insights into the challenges of developing robust predictive models, their role in supporting high-throughput drug discovery workflows, and the potential of artificial intelligence to make analytical chemistry more efficient and scalable.
Bryan Vining, David Megson, and Pasquale Avino examine why ultrashort-chain PFAS like TFA are reshaping analytical priorities.
Low-pressure gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) quantifies 37 volatile PFAS in food packaging in 8 minutes.
Melissa Dunkle, senior research scientist at Dow Benelux BV, The Netherlands, discusses the revival of interest in pyrolysis gas chromatography.
Jie Du of Cardinal Health discusses with LCGC International how switching from reversed-phase to hydrophilic interaction liquid chromatography (HILIC) can unmask a hidden excipient artifact mistaken for a true leachable.
Liquid chromatography-tandem mass spectrometry (LC-MS/MS reveals antibiotics, PFAS, and toxic metals in cat kibble.
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