AIMC Topic: Odorants
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Effectively saltiness enhanced odorants screening and prediction by database establish, sensory evaluation and deep learning method.
Food chemistry
Dec 2, 2024
Odor-taste interaction has gained success in enhancing saltiness perception. This work aimed to provide candidate odorants for saltiness enhancement. Volatile compounds and their frequencies in salty foods were systematically analyzed. The compounds ...
SERS-AI Based Detection and Bioanalysis of Malodorous Components in Kitchen Waste.
Analytical chemistry
Nov 26, 2024
The prevention and control of odor gas generated from kitchen waste are significant missions in research on environmental pollution. Because of the high complexity and variability of kitchen waste, the development of a suitable technique with high se...
An overview on olfaction in the biological, analytical, computational, and machine learning fields.
Archiv der Pharmazie
Oct 22, 2024
Recently, the comprehension of odor perception has advanced, unveiling the mysteries of the molecular receptors within the nasal passages and the intricate mechanisms governing signal transmission between these receptors, the olfactory bulb, and the ...
Uncovering the features of industrial odors-derived environmental complaints and proactive countermeasures by using machine-learning.
Journal of environmental management
Oct 14, 2024
Industrial odor-derived environmental complaints pose an emerging and far-reaching challenge in cities worldwide with intensive industries. Developing effective odor complaint management strategies is essential for mitigating the public impact of ind...
Development of analytical "aroma wheels" for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during "Chinese tea ceremony" with machine learning.
Food chemistry
Oct 4, 2024
The flavour of tea as a worldwide popular beverage has been studied extensively. This study aimed to apply established flavour analysis techniques (GC-MS, GC-O-MS and APCI-MS/MS) in innovative ways to characterise the flavour profile of oolong tea in...
A machine learning-based electronic nose system using numerous low-cost gas sensors for real-time alcoholic beverage classification.
Analytical methods : advancing methods and applications
Aug 29, 2024
This study introduces numerous low-cost gas sensors and a real-time alcoholic beverage classification system based on machine learning. Dogs possess a superior sense of smell compared to humans due to having 30 times more olfactory receptors and thre...
Olfactory analysis of oolong tea sensory quality using composite nano-colorimetric sensor array.
Food research international (Ottawa, Ont.)
Aug 11, 2024
Chinese oolong tea is famous for its rich and diverse aromas, which is an important indicator for sensor quality evaluation. To accurately and rapidly evaluate sensory quality, a novel colorimetric sensor array (CSA) was developed to detect volatile ...
Characterization and exploration of dynamic variation of volatile compounds in vine tea during processing by GC-IMS and HS-SPME/GC-MS combined with machine learning algorithm.
Food chemistry
Jul 31, 2024
It is imperative to unravel the dynamic variation of volatile components of vine tea during processing to provide guidance for tea quality evaluation. In this study, the dynamic changes of volatile compounds of vine tea during processing were charact...
Smell cancer by machine learning-assisted peptide/MXene bioelectronic array.
Biosensors & bioelectronics
Jul 10, 2024
Non-invasive detection of tumors is of utmost importance to save lives. Nonetheless, identifying tumors through gas analysis is a challenging task. In this work, biosensors with remarkable gas-sensing characteristics were developed using a self-assem...
Predicting Odor Sensory Attributes of Unidentified Chemicals in Water Using Fragmentation Mass Spectra with Machine Learning Models.
Environmental science & technology
Jun 15, 2024
Knowing odor sensory attributes of odorants lies at the core of odor tracking when addressing waterborne odor issues. However, experimental determination covering tens of thousands of odorants in authentic water is not pragmatic due to the complexity...
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