Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
|Articles|March 1, 2000
- March 2000
- Volume 18
- Issue 3
- Pages: 296–306
Strategies for GC Optimization, Part 1 – Setting Realistic Expectations
Author(s)John V. Hinshaw
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This month's "GC Connections" begins a multipart series about gas chromatograph performance optimization. In this first part, John Hinshaw addresses questions of instrument capabilities and chromatographers' expectations, as well as manual–hardware optimization strategies and software-separation strategies.
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Ultrahigh-performance liquid chromatography-mass spectrometry (UHPLC-MS) reveals how temperature and life stage shift jellyfish venom.
Gas chromatography-mass spectrometry (GC-MS) chromatography reveals elevated polycyclic aromatic hydrocarbons (PAH) levels in wildfire smoke over Nevada.
This week, the Chromatography Online website observed National Forensic Science Week with expert interviews on how chromatography helps solve cases, plus career stories from women in analytical science and new research on detecting rat poison in cats and tracking mold toxins in gluten-free pasta.
Kinjal Bhatt argues inclusion advocacy shouldn't fall on women alone, while Ina Varfaj credits sharing the load and learning to say no for avoiding burnout.
Steven Ray Wilson defines organ-on-a-chip as organoids on microfluidic devices, tracing their small, complex samples to the case for automated online LC–MS.
Liquid chromatography-mass spectrometry (LC-MS) detects Maillard byproducts in hay after steaming and storage.
Liquid chromatography-high resolution mass spectrometry (LC-HRMS) finds aflatoxin and fumonisins stay stable in gluten-free pasta.
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