Anneli Kruve reports that toxicity predictions from MS2-derived molecular fingerprints outperform spectral-similarity methods in nontarget screening of food.
|Articles|June 22, 2012
- The Column-06-22-2012
- Volume 8
- Issue 11
Quantitative Analysis of Drugs of Abuse in Urine Using UHPLC Coupled to A TOF Mass Spectrometer
Human beings have long consumed mind altering drugs to attain a euphoric high. These illegal drugs are obtained directly from natural substances including plants or they are chemically synthesized. Monitoring consumption of abused drugs is important in workplace settings, crime scene investigations, forensic toxicology and other related areas.
Advertisement
Human beings have long consumed mind altering drugs to attain a euphoric high. These illegal drugs are obtained directly from natural substances including plants or they are chemically synthesized. Monitoring consumption of abused drugs is important in workplace settings, crime scene investigations, forensic toxicology and other related areas.
Articles in this issue
over 14 years ago
Ancient warfareover 14 years ago
Meeting Review: analytica 2012over 14 years ago
Frog legsover 14 years ago
Beetle infestationover 14 years ago
Soybean propertiesover 14 years ago
Reference Materials - Why Quality Mattersover 14 years ago
The Ballooning Cost of Helium...Advertisement
Related to this article
In this fourth part of " Conversations with Michael Dong," a series on fundamentals of HPLC in pharmaceutical analysis, LCGC International’s "Perspectives in HPLC" column editor explains why buffers are most often used in Mobile Phase A in high-pressure liquid chromatography of pharmaceuticals.
Skipping solid-phase extraction (SPE) cleanup rarely hurt liquid chromatography–tandem mass spectrometry (LC–MS/MS) plant hormone results in tomato.
The panel considers how AI and automation could reshape peptide method development, and why scientific judgment will remain essential.
Gas chromatography–mass spectrometry (GC–MS) and docking reveal A. excelsa leaf compounds that may help in cancer treatment.
Gert Desmet offers his insights on the potential benefits AI/ML could offer the separation science community in the future.
Quantitative non-targeted screening with predicted response factors is not for regulation, but can rank environmental chemicals by concentration and toxicity.
Gert Desmet explores the current role of AI/ML in separation science.
Advertisement
Advertisement
Trending on LCGC International
1
AI ML Now: Gert Desmet on the State of Artificial Intelligence and Machine Learning in Separation Science
2
Green Chemistry Meets Affinity Chromatography
3
HILIC and the Shift Beyond TFA in GLP-1 Analysis
4
Conversations with Michael Dong: Reversed-Phase Chromatography: Retention Mechanism of Hydrophobic Interaction
5