AIMC Topic: Gas Chromatography-Mass Spectrometry
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Potential of atmospheric pressure chemical ionization source in gas chromatography tandem mass spectrometry for the screening of urinary exogenous androgenic anabolic steroids.
Analytica chimica acta
Dec 17, 2015
The atmospheric pressure chemical ionization (APCI) source for gas chromatography-mass spectrometry analysis has been evaluated for the screening of 16 exogenous androgenic anabolic steroids (AAS) in urine. The sample treatment is based on the strate...
Application of an artificial neural network model for selection of potential lung cancer biomarkers.
Journal of breath research
May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Exhalation
Small Cell Lung Carcinoma
Mass Spectrometry
Gas Chromatography-Mass Spectrometry
Volatile Organic Compounds
Smoking
Solid Phase Microextraction
Breath Tests
Lung Neoplasms
Adenocarcinoma
Carcinoma, Non-Small-Cell Lung
Male
Middle Aged
Case-Control Studies
Female
Aged
Aged, 80 and over
Sensitivity and Specificity
Biomarkers, Tumor
Young Adult
Adult
Humans
Neural Networks, Computer
Qualitative analysis of a sulfur-fumigated Chinese herbal medicine by comprehensive two-dimensional gas chromatography and high-resolution time of flight mass spectrometry using colorized fuzzy difference data processing.
Chinese journal of integrative medicine
Mar 24, 2015
OBJECTIVE: To investigate the chemical transformation of volatile compounds in sulfur-fumigated Radix Angelicae Sinensis.
HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.
Food chemistry
Sep 15, 2025
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC) and its toxin bongkrekic acid rises the risk for food poisoning. Combining Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) with c...
Machine learning models for terroir classification and blend similarity prediction: A proof-of-concept to enhance cocoa quality evaluation.
Food chemistry
Sep 15, 2025
Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferences. Automated methods for assessing flavour quality support industrial laboratories in achieving high sample throughput. Targeted and untargeted HS-SP...
Temporal evolution stages classification and aging time prediction of gel-pen ink using GC-IMS combined with machine learning for forensic science applications.
Journal of chromatography. A
Aug 16, 2025
Determining the temporal evolution of inks remains a critical challenge in forensic document analysis. The temporal evolution stages classification and aging time prediction of gel-pen ink were investigated by integrating gas chromatography-ion mobil...
Predicting treatment outcome in congenital adrenal hyperplasia using urine steroidomics and machine learning.
European journal of endocrinology
Jun 30, 2025
OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains unsatisfactory. Comprehensive 24 h urine steroid profiling provides detailed insight into adrenal steroid pathways. We investigated whether 24 h urine st...
Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.
Journal of food science
May 1, 2025
It is more attractive to develop effective strategies to reduce sugar intake without compromising food quality with the rising prevalence of obesity and diabetes around the world. Due to its high cost, tagatose has not been widely adopted as a sucros...
Identification of Different Steaming Degrees of Panax quinquefolius L. Based on GC-IMS Combined With Machine Learning.
Rapid communications in mass spectrometry : RCM
Apr 30, 2025
RATIONALE: Panax quinquefolius L. (PQ), a commonly used traditional Chinese medicine and a food, is usually processed into various products, including white PQ, red PQ (two- or three-time steamed PQ), and black PQ (nine-time steamed PQ). Previous stu...
Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.
Journal of food science
Jan 1, 2025
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with ...
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