AIMC Topic: Odorants

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Automated tracking and analysis of behavior in restrained insects.

Journal of neuroscience methods Nov 4, 2014
BACKGROUND: Insect behavior is often monitored by human observers and measured in the form of binary responses. This procedure is time costly and does not allow a fine graded measurement of behavioral performance in individual animals. To overcome th...
Models, Biological Odorants Video Recording Bees Movement Arthropod Antennae Animals Male Conditioning, Classical Bayes Theorem Restraint, Physical Software Artificial Intelligence Algorithms
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Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Ester and acid aroma compounds are crucial components affecting the fragrance of Baijiu, and their composition can endow the Baijiu with a fruity, acidic, floral, or roasted aroma. This study aims to quantitatively detect the ester and acid content i...
Machine Learning Odorants Soy Foods Esters Ensemble Learning Hyperspectral Imaging Acids
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Deep learning-assisted self-cleaning cellulose colorimetric sensor array for monitoring black tea withering dynamics.

Food chemistry Sep 30, 2025
The withering process is a critical stage in developing the aroma profile of black tea. In this study, we presented an eco-friendly cellulose film-based colorimetric sensor array (CSA) for detecting volatile organic compounds (VOCs) and assessing wit...
Deep Learning Colorimetry Titanium Odorants Volatile Organic Compounds Cellulose Camellia sinensis Tea
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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...
Machine Learning Flavoring Agents Gas Chromatography-Mass Spectrometry Quality Control Cacao Odorants Humans Taste Volatile Organic Compounds
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Sliding-window enhanced olfactory visual images combined with deep learning to predict TVB-N content in chilled mutton.

Meat science Jul 1, 2025
A novel data enhancement method for olfactory visual images was proposed in this study, combined with deep learning to achieve the accurate prediction of total volatile basic nitrogen (TVB-N) content in chilled mutton. Specifically, the sliding-windo...
Nitrogen Animals Odorants Deep Learning Volatile Organic Compounds Smell Support Vector Machine
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Machine learning-assisted aroma profile prediction in Jiang-flavor baijiu.

Food chemistry Jun 30, 2025
The complex flavor of Jiang-flavor Baijiu (JFB) arises from the interaction of hundreds of compounds at both physicochemical and sensory levels, making accurate perception challenging. Modern machine learning techniques offer precise and scientific a...
Volatile Organic Compounds Flavoring Agents Alcoholic Beverages Odorants Taste Humans Neural Networks, Computer Machine Learning China
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Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu.

Food chemistry May 30, 2025
The quality of Sauce-flavor baijiu hinges on sensory characteristics and key aroma compounds, which traditional methods struggle to evaluate accurately and effectively. This study explores the sensory characteristics and aroma compounds of Sauce-flav...
Volatile Organic Compounds Flavoring Agents Male Odorants Taste Female Adult Humans Machine Learning
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Robust Odor Detection in Electronic Nose Using Transfer-Learning Powered Scentformer Model.

ACS sensors May 23, 2025
Mimicking the olfactory system of humans, the use of electronic noses (E-noses) for the detection of odors in nature has become a hot research topic. This study presents a novel E-nose based on deep learning architecture called Scentformer, which add...
Electronic Nose Humans Deep Learning Odorants
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Discriminative Detection for Multiple Volatile Organic Compounds via Dynamic Temperature Modulation Based on Mixed Potential Gas Sensor.

ACS sensors May 23, 2025
Gas sensors combined with artificial intelligence capable of distinguishing multiple odors hold great promise in volatile organic compounds (VOCs) discriminative detection. However, various issues such as large size, high expenses, and mutual interfe...
Gases 1-Propanol Wavelet Analysis Acetone Machine Learning Pentanes Odorants Temperature Volatile Organic Compounds Butadienes Hemiterpenes
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Intelligent Olfactory System Utilizing Ceria Nanoparticle-Integrated Laser-Induced Graphene.

ACS nano May 13, 2025
The digitization of human senses has driven innovation across various technologies and transformed our daily lives, yet the digitization of olfaction remains a challenging frontier. Artificial olfactory systems, or electronic noses (e-noses), offer g...
Electronic Nose Lasers Smell Humans Nanoparticles Support Vector Machine Odorants Graphite Cerium
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