AIMC Topic: Fatty Acids

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Reflectance spectroscopy with operator difference for determination of behenic acid in edible vegetable oils by using convolutional neural network and polynomial correction.

Food chemistry Jul 22, 2021
A novel polynomial correction method, order-adaptive polynomial correction (OAPC), was proposed to correct reflectance spectra with operator differences, and convolutional neural network (CNN) was used to develop analysis model to predict behenic aci...
Vegetables Spectrum Analysis Neural Networks, Computer Support Vector Machine Plant Oils Fatty Acids
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Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity.

Toxicology Jul 10, 2021
Adverse outcome pathways (AOPs) and their networks are important tools for the development of mechanistically based non-animal testing approaches, such as in vitro and/or in silico assays, to assess toxicity induced by chemicals. In the present study...
Neural Networks, Computer Humans Fatty Acids Oxidative Stress Mitochondria, Liver Computer Simulation Treatment Outcome Risk Assessment Adverse Outcome Pathways Cell Death Chemical and Drug Induced Liver Injury
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Enhancement of nutritional value of fried fish using an artificial intelligence approach.

Environmental science and pollution research international Mar 24, 2021
Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and mustard oil, experiments were carried out in varying temperatures (140-240 °C), times (5-20 min), and oil amounts (25-100 ml/kg of fish) which establis...
Nutritive Value Fatty Acids, Unsaturated Artificial Intelligence Animals Fatty Acids Neural Networks, Computer
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Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning.

Journal of dairy science Jan 21, 2021
Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in milk samples. Mid-infrared spectra have successfully been used t...
Pregnancy Cattle Lactation Fatty Acids Female Animals Deep Learning Milk Spectrophotometry, Infrared
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Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures.

Nature communications Oct 23, 2020
Previous studies have shown that each edible oil type has its own characteristic fatty acid profile; however, no method has yet been described allowing the identification of oil types simply based on this characteristic. Moreover, the fatty acid prof...
Fatty Acids Food Safety Machine Learning Food Contamination Plant Oils
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A machine learning Automated Recommendation Tool for synthetic biology.

Nature communications Sep 25, 2020
Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules such as renewable biofuels or anticancer drugs. However, traditional synthetic biology approaches involve ad-hoc engineering practices, which lead to long develop...
Beer Machine Learning Dodecanol Biofuels Escherichia coli Saccharomyces cerevisiae Bayes Theorem Metabolic Engineering Fatty Acids Synthetic Biology
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Highly Stable Passive Wireless Sensor for Protease Activity Based on Fatty Acid-Coupled Gelatin Composite Films.

Analytical chemistry Sep 14, 2020
Proteases are often used as biomarkers of many pathologies as well as of microbial contamination and infection. Therefore, extensive efforts are devoted to the development of protease sensors. Some applications would benefit from wireless monitoring ...
Aspergillus Fatty Acids Quartz Crystal Microbalance Techniques Peptide Hydrolases Gelatin Wireless Technology Support Vector Machine
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Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study.

Metabolism: clinical and experimental Nov 9, 2019
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and is characterized by the presence of non-alcoholic fatty liver (NAFL) that can progress to non-alcoholic steatohepatitis (NASH), liver fibrosis and cirr...
Female Male Middle Aged Case-Control Studies Fatty Liver Liver Cirrhosis Proof of Concept Study Supervised Machine Learning Humans Metabolomics Non-alcoholic Fatty Liver Disease Lipids Fatty Acids Polysaccharides
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Estimation of somatic cell count levels of hard cheeses using physicochemical composition and artificial neural networks.

Journal of dairy science Dec 24, 2018
This study addresses the prediction of the somatic cell counts of the milk used in the production of sheep cheese using artificial neural networks. To achieve this objective, the neural network was designed using 33 parameters of the physicochemical ...
Food Handling Cheese Sheep Milk Animals Chemical Phenomena Cell Count Neural Networks, Computer Fatty Acids
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In vitro and in vivo resistance of Lactobacillus rhamnosus GG carried by a mixed pineapple (Ananas comosus L. Merril) and jussara (Euterpe edulis Martius) juice to the gastrointestinal tract.

Food research international (Ottawa, Ont.) Oct 4, 2018
This study evaluated the viability of Lactobacillus rhamnosus GG (LGG) and its in vitro and in vivo resistance to the gastrointestinal tract (GIT) when carried by a mixed fermented pineapple and jussara juice. The effects of product ingestion on the ...
Fermented Foods Gastrointestinal Tract Rats, Wistar Hydroxybenzoates Fatty Acids Rats Euterpe Microbial Viability Ananas Lacticaseibacillus rhamnosus Animals Kidney Probiotics Liver Fruit and Vegetable Juices Anthocyanins Male Antioxidants Colony Count, Microbial Feces
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