AIMC Topic: Taste

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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 ...
Support Vector Machine Camellia sinensis Humans Colorimetry Taste Volatile Organic Compounds Smell Tea Odorants
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VmmScore: An umami peptide prediction and receptor matching program based on a deep learning approach.

Computers in biology and medicine Jun 29, 2024
Peptides, with recognized physiological and medical implications, such as the ability to lower blood pressure and lipid levels, are central to our research on umami taste perception. This study introduces a computational strategy to tackle the challe...
Humans Molecular Docking Simulation Deep Learning Taste Taste Perception Receptors, G-Protein-Coupled Software Algorithms Animals Peptides
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UmamiPreDL: Deep learning model for umami taste prediction of peptides using BERT and CNN.

Computational biology and chemistry May 29, 2024
Taste is crucial in driving food choice and preference. Umami is one of the basic tastes defined by characteristic deliciousness and mouthfulness that it imparts to foods. Identification of ingredients to enhance umami taste is of significant value t...
Taste Peptides Deep Learning Humans
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A deep learning-based quantitative prediction model for the processing potentials of soybeans as soymilk raw materials.

Food chemistry May 14, 2024
Current technologies as correlation analysis, regression analysis and classification model, exhibited various limitations in the evaluation of soybean possessing potentials, including single, vague evaluation and failure of quantitative prediction, a...
Deep Learning Odorants Humans Glycine max Soy Milk Taste Food Handling
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Machine learning approaches to predict TAS2R receptors for bitterants.

Biotechnology and bioengineering Apr 8, 2024
Bitter taste involves the detection of diverse chemical compounds by a family of G protein-coupled receptors, known as taste receptor type 2 (TAS2R). It is often linked to toxins and harmful compounds and in particular bitter taste receptors particip...
Humans Machine Learning Taste Taste Receptors, Type 2 Receptors, G-Protein-Coupled Ligands
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Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 6, 2024
Portable and personalized artificial intelligence (AI)-driven sensors mimicking human olfactory and gustatory systems have immense potential for the large-scale deployment and autonomous monitoring systems of Internet of Things (IoT) devices. In this...
Smell Electronic Nose Tongue Coffee Odorants Taste Humans Artificial Intelligence Principal Component Analysis Machine Learning Zinc Oxide
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Electronic eye and electronic tongue data fusion combined with a GETNet model for the traceability and detection of Astragalus.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Astragalus is a widely used traditional Chinese medicine material that is easily confused due to its quality, price and other factors derived from different origins. This article describes a novel method for the rapid tracing and detectio...
Taste Neural Networks, Computer Astragalus Plant Drugs, Chinese Herbal Electronic Nose
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In-depth discovery and taste presentation mechanism studies on umami peptides derived from fermented sea bass based on peptidomics and machine learning.

Food chemistry Mar 16, 2024
Umami peptides originating from fermented sea bass impart a distinctive flavor to food. Nevertheless, large-scale and rapid screening for umami peptides using conventional techniques is challenging because of problems such as prolonged duration and c...
Animals Peptides Fish Proteins Humans Bass Fermentation Machine Learning Molecular Docking Simulation Taste Proteomics Flavoring Agents
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Classification of tastants: A deep learning based approach.

Molecular informatics Nov 9, 2023
Predicting the taste of molecules is of critical importance in the food and beverages, flavor, and pharmaceutical industries for the design and screening of new tastants. In this work, we have built deep learning models to classify sweet, bitter, and...
Deep Learning Receptors, G-Protein-Coupled Taste
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A TastePeptides-Meta system including an umami/bitter classification model Umami_YYDS, a TastePeptidesDB database and an open-source package Auto_Taste_ML.

Food chemistry Nov 9, 2022
Taste peptides with umami/bitterness play a role in food attributes. However, the taste mechanisms of peptides are not fully understood, and the identification of these peptides is time-consuming. Here, we created a taste peptide database by collecti...
Food Databases, Factual Machine Learning Taste Algorithms
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