AIMC Topic: Carotenoids

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Modeling of the lycopene extraction from tomato pulps.

Food chemistry Jun 22, 2015
The inputs of this network were the concentration of pectinase and time of incubation, and the outputs were extracted lycopene and the activity of radical scavenging activity. Two different networks were designed for the process under the sonication ...
Neural Networks, Computer Algorithms Solanum lycopersicum Carotenoids Lycopene
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Application of machine learning for optimizing biomarker combinations and guiding decisions on meat authentication.

Meat science Sep 1, 2025
This paper tested the relevance of two machine learning approaches (decision trees, DTs; and random forest models, RFs) applied to meat authentication. DT allow to select and rank potential biomarkers according to their respective discriminatory powe...
Machine Learning Biomarkers Animals Male Muscle, Skeletal Decision Trees Adipose Tissue Color Red Meat Carotenoids Sheep, Domestic
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Applying deep learning algorithms for non-invasive estimation of carotenoid content in the foot muscle of Pacific abalone with different colors.

Food chemistry Jul 15, 2025
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, particularly in species such as the Pacific abalone (Haliotis discus hannai). In this study, we identified the major carotenoids in abalone foot muscle us...
Animals Deep Learning Color Gastropoda Shellfish Carotenoids Muscles
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