AIMC Topic: Gas Chromatography-Mass Spectrometry
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Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.
The Analyst
Aug 4, 2025
Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer...
Smart Detection of Food Spoilage Using Microbial Volatile Compounds: Technologies, Challenges, and Future Outlook.
Journal of agricultural and food chemistry
Jul 28, 2025
Microbial volatile organic compounds (MVOCs) serve as early, noninvasive indicators of food spoilage and microbial contamination. This review critically assesses current methods for MVOC detection, including gas chromatography-mass spectrometry (GC-M...
Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework.
Scientific reports
Jul 18, 2025
Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarke...
Breath profiles in paediatric allergic asthma by proton transfer reaction mass spectrometry.
BMJ open respiratory research
Jun 27, 2025
INTRODUCTION: Enhancing paediatric asthma diagnosis is crucial. Molecular analysis of exhaled breath is a rapidly evolving field aimed at harnessing established and innovative technologies for clinical applications. This study evaluates the feasibili...
Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.
PloS one
May 30, 2025
Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and diagnostic tools' severe limitations causing unnecessary, invasive biopsy procedures. While gas chromatography-mass spectrometry (GC-MS) has been use...
An Artificial Intelligence Olfactory-Based Diagnostic Model for Parkinson's Disease Using Volatile Organic Compounds from Ear Canal Secretions.
Analytical chemistry
May 28, 2025
Parkinson's Disease (PD), a frequently diagnosed neurodegenerative condition, poses a major global challenge. Early diagnosis and intervention are crucial for PD treatment. This study proposes a diagnostic model for PD that analyzes volatile organic ...
Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.
Scientific reports
May 19, 2025
The absence of specific markers makes early detection of bladder cancer (BC) challenging. Recent studies have reported the reliable diagnostic significance of volatile organic compounds (VOCs) in several cancers. This study aimed to investigate wheth...
Variations of the chemical components and biological activities of Thymus capitatus essential oil from three regions in Palestine.
Scientific reports
May 10, 2025
Thymus capitatus is a widely utilized medicinal plant in Palestine. The main goal of this study was to assess the phytochemical content of T. capitatus essential oils (EOs) from three Palestinian regions using hydro-distillation. Furthermore, the EO ...
Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.
Journal of chemical ecology
Mar 7, 2025
Tsetse fly vectors of African trypanosomosis preferentially feed on certain vertebrates largely determined by olfactory cues they emit. Previously, we established that three skin-derived ketones including 6-methyl-5-hepten-2-one, acetophenone and ger...
Endogenous storage proteins influence Rice flavor: Insights from protein-flavor correlations and predictive modeling.
Food chemistry
Mar 5, 2025
This study investigated the correlation between endogenous storage proteins and aromatic compounds in rice, and their collective influence on rice eating quality. Six rice samples, varying in four endogenous storage proteins through gene editing gene...
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