AIMC Topic: Taste

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Premexotac: Machine learning bitterants predictor for advancing pharmaceutical development.

International journal of pharmaceutics Oct 5, 2022
Bitter taste receptors were recently found to be involved in numerous physiological and pathological conditions other than taste and are suggested as potential drug targets. In vivo and in vitro techniques for screening bitterants as ligands come wit...
Machine Learning Ligands Taste Aversive Agents Algorithms Drug Development
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Effect of short-term frozen storage on taste of gonads of female Eriocheir sinensis and the classification of taste quality combined with sensory evaluation and fuzzy logic model.

Food chemistry Jan 10, 2022
To investigate the taste quality of gonads of Eriocheir sinensis during frozen storage, the difference in overall taste profile was determined by electronic tongue, and the contents of free amino acids and 5'-Nucleotides were measure. The results sho...
Decapoda Gonads Female Seafood Fuzzy Logic Electronic Nose Animals Taste
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UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning.

International journal of molecular sciences Dec 4, 2021
Umami ingredients have been identified as important factors in food seasoning and production. Traditional experimental methods for characterizing peptides exhibiting umami sensory properties (umami peptides) are time-consuming, laborious, and costly....
Machine Learning Algorithms Peptides Dietary Proteins Databases, Protein Internet Taste Computational Biology Support Vector Machine
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CBDPS 1.0: A Python GUI Application for Machine Learning Models to Predict Bitter-Tasting Children's Oral Medicines.

Chemical & pharmaceutical bulletin Aug 21, 2021
Bitter tastes are innately aversive and are thought to help protect animals from consuming poisons. Children are extremely sensitive to drug tastes, and their compliance is especially poor with bitter medicine. Therefore, judging whether a drug is bi...
Animals Child Pharmaceutical Preparations Machine Learning Databases, Factual Administration, Oral Taste Humans
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iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.

International journal of molecular sciences Aug 19, 2021
Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine learning-based methods have become effective approaches for providing a good avenue for identify...
Predictive Value of Tests Peptide Fragments Taste Benchmarking Software Humans Algorithms Machine Learning Support Vector Machine
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Prediction of specialty coffee flavors based on near-infrared spectra using machine- and deep-learning methods.

Journal of the science of food and agriculture Feb 18, 2021
BACKGROUND: Specialty coffee fascinates people with its bountiful flavors. Currently, flavor descriptions of specialty coffee beans are only offered by certified coffee cuppers. However, such professionals are rare, and the market demand is tremendou...
Spectroscopy, Near-Infrared Humans Deep Learning Neural Networks, Computer Coffee Taste Flavoring Agents
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Bioinspired multisensory neural network with crossmodal integration and recognition.

Nature communications Feb 18, 2021
The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as crossmodal integration, recognition, and imagination for accurate evaluation...
Neurons Biomimetics Smell Vision, Ocular Taste Humans Neural Networks, Computer Learning Recognition, Psychology Imagination Touch
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Effect of cross-cultural differences on thickness, firmness and sweetness sensitivity.

Food research international (Ottawa, Ont.) Nov 10, 2020
Sensitivity of the somatosensory system may be influenced by multiple physiological parameters. Variations in oral physiology can arise from cross-cultural differences which may potentially affect sensory sensitivity. The aim of this case study was t...
Taste Adult Humans Tongue Taste Buds Cross-Cultural Comparison White People Female
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Non-invasive setup for grape maturation classification using deep learning.

Journal of the science of food and agriculture Oct 2, 2020
BACKGROUND: The San Francisco Valley region from Brazil is known worldwide for its fruit production and exportation, especially grapes and wines. The grapes have high quality not only due to the excellent morphological characteristics, but also to th...
Fruit Deep Learning Taste Wine Humans Vitis Brazil
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Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network.

Sensors (Basel, Switzerland) Jun 24, 2020
The acceptance of a food product by the consumer depends, as the most important factor, on its sensory properties. Therefore, it is clear that the food industry needs to know the perceptions of sensory attributes to know the acceptability of a produc...
Taste Smell Cheese Spectroscopy, Near-Infrared Food Analysis Neural Networks, Computer
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