Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
|Articles|May 20, 2020
Artificial Intelligence in GC, LC, and MS
An AI treatment based on neural algorithms can now solve non-linear and unpredictable random variations of retention times inherent in chromatography technology.
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.
Trending on LCGC International
1
Women in Chromatography: The Draw of Analytical Science
2
Detecting Anabolic-Androgenic Steroids in E-cigarettes Seized from Scottish Prisons using GC–MS
3
Best of the Week: National Forensic Science Week, and Chromatography Is On the Case
4
The Evolving Role of GC×GC in Forensic Analysis
5