Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
|Articles|February 8, 2016
- The Column-02-08-2016
- Volume 12
- Issue 2
Vol 12 No 2 The Column February 08, 2016 Europe and Asia PDF
Click the title above to open The Column February 08, 2016 Europe & Asia issue, Volume 12, Number 2, in an interactive PDF format.
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Articles in this issue
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Sciex and Pressure BioSciences Address Complex Sample Preparationover 10 years ago
Crawford Scientific and YMC Europe Announce Distributor Dealover 10 years ago
New Horizons in Atlanta for Pittcon 2016over 10 years ago
The Essentials: What Quadrupole GC–MS Operators Need to Knowover 10 years ago
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Related to this article
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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