AIMC Topic: Odorants
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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...
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...
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...
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...
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...
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...
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...
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...
Odor classification: Exploring feature performance and imbalanced data learning techniques.
PloS one
Jan 1, 2025
This research delves into olfaction, a sensory modality that remains complex and inadequately understood. We aim to fill in two gaps in recent studies that attempted to use machine learning and deep learning approaches to predict human smell percepti...
Predictive Machine Learning Models for Olfaction.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
A classical problem in neuroscience, biology, and chemistry is linking the chemical structure of odorants to their olfactory perception. This difficulty arises from the subjective nature of odor perception, incomplete understanding of the physiologic...
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