AIMC Topic: Volatile Organic Compounds

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Oxygenated Organic Molecules over the Boundary Layer Aloft in Beijing.

Environmental science & technology
Oxygenated organic molecules (OOMs) originate from both direct emissions and secondary formation via the oxidation of volatile organic compounds (VOCs) emitted from biogenic and anthropogenic sources. OOMs are suggested to play a crucial role in the ...

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...

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 ...

Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors.

Ecotoxicology and environmental safety
Honey bees play a crucial role in agricultural productivity and ecological stability, yet their interactions with environmental stressors, particularly volatile organic compounds (VOCs) and pollutants, pose significant challenges to their cognitive f...

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...

Unraveling almonds deterioration using whole-cell biosensor coupled with machine learning approaches and SHAP interpretation.

Food chemistry
As almonds are prone to oxidation during storage, it is essential to construct a real-time method to monitor the quality of almonds efficiently. In this study, the in situ detection was developed using whole-cell biosensor combined with machine learn...

Design of Multi-Cancer VOCs Profiling Platform via a Deep Learning-Assisted Sensing Library Screening Strategy.

Analytical chemistry
The efficiency of sensor arrays in parallel discrimination of multianalytes is fundamentally influenced by the quantity and performance of the sensor elements. The advent of combinational design has notably accelerated the generation of chemical libr...

Machine Learning-Enhanced Prediction for Soil-to-Air VOC Emission and Environmental Impact Pertaining Contaminated Fractured Aquifers.

Environmental science & technology
How to scientifically and efficiently quantify the impact and hazards of volatile organic compounds (VOCs) pollution and volatilization from complex groundwater systems on surface air environments is a critical environmental issue. This paper employe...