AIMC Topic: Gas Chromatography-Mass Spectrometry

Clear Filters Showing 21 to 30 of 138 articles

Electronic nose, HS-GC-IMS, HS-SPME-GC-MS, and deep learning model were used to analyze and predict the changes and contents of VOCs in in-shell walnut kernels under different roasting conditions.

Food chemistry
Roasting imparts walnuts with an increased amount of hedonic aromas. Consequently, this study comprehensively analyzed aroma characteristics of in-shell walnut kernels during roasting at different conditions using quantitative descriptive analysis, E...

An approach in developing graphical feature maps derived from machine learning and its application in loquat juice classification.

Food chemistry
This study introduces a new methodology for developing graphical feature maps using weighted artificial neural networks (w-ANNs) and demonstrates its application in the classification of loquat juice varieties (namely loquat_baisha and loquat_hongsha...

Flavor characterization of aged Citri Reticulatae Pericarpium from core regions: An integrative approach utilizing GC-IMS, GC-MS, E-nose, E-tongue, and chemometrics.

Food chemistry
This study utilized GC-MS, GC-IMS, E-nose, and E-tongue to analyze the flavor characteristics of Guangchenpi (GCP) from five core producing areas aged 5 to 40 years. Key findings include: W1W, W2S, and W5S sensors in the e-nose and bitter, umami, swe...

Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.

PloS one
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
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
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
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 ...

Development of non-targeted volatilomics with solid-phase microextraction for the authentication of plant-based milk alternatives.

Talanta
The demand for plant-based milk alternatives (PBMA) has increased substantially, especially among consumers allergic and/or intolerant to animal dairy products and consumers attentive to environmental sustainability. Concurrent with market expansion ...

Differentiation of black tea according to country of origin using the μ-CTE/TD/GC-MS method combined with decision tree-optimizable neural network analysis.

Journal of the science of food and agriculture
BACKGROUND: Accurate discrimination of the country of origin of teas is critical to determine their actual commercial value, to meet consumer preferences, and to ensure compliance with labeling regulations. Therefore, in this study, we developed a ne...