AIMC Topic: Fatty Acids

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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 Female Lactation Fatty Acids Milk Spectrophotometry, Infrared Animals Deep Learning Cattle
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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...
Machine Learning Escherichia coli Bayes Theorem Fatty Acids Metabolic Engineering Beer Dodecanol Synthetic Biology Biofuels Saccharomyces cerevisiae
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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 ...
Support Vector Machine Aspergillus Fatty Acids Gelatin Wireless Technology Quartz Crystal Microbalance Techniques Peptide Hydrolases
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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...
Metabolomics Lipids Polysaccharides Supervised Machine Learning Case-Control Studies Fatty Liver Liver Cirrhosis Non-alcoholic Fatty Liver Disease Fatty Acids Proof of Concept Study Male Middle Aged Humans Female
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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 ...
Chemical Phenomena Food Handling Cheese Fatty Acids Sheep Milk Neural Networks, Computer Animals Cell Count
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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 ...
Rats, Wistar Microbial Viability Gastrointestinal Tract Colony Count, Microbial Rats Kidney Hydroxybenzoates Ananas Euterpe Fatty Acids Probiotics Liver Antioxidants Fruit and Vegetable Juices Animals Lacticaseibacillus rhamnosus Anthocyanins Fermented Foods Male Feces
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Agonists of G-Protein-Coupled Odorant Receptors Are Predicted from Chemical Features.

The journal of physical chemistry letters Apr 17, 2018
Predicting the activity of chemicals for a given odorant receptor is a longstanding challenge. Here the activity of 258 chemicals on the human G-protein-coupled odorant receptor (OR)51E1, also known as prostate-specific G-protein-coupled receptor 2 (...
Receptors, G-Protein-Coupled Neoplasm Proteins Models, Molecular Ligands Humans Drug Evaluation, Preclinical Receptors, Odorant Machine Learning Fatty Acids Protein Binding Animals Mice
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Individual and Combined Effects of Fumonisin B₁, Deoxynivalenol and Zearalenone on the Hepatic and Renal Membrane Lipid Integrity of Rats.

Toxins Dec 22, 2017
(1) Background and (2) Methods: A 14-day in vivo, multitoxic (pure mycotoxins) rat experiment was conducted with zearalenone (ZEA; 15 μg/animal/day), deoxynivalenol (DON; 30 μg/animal/day) and fumonisin B₁ (FB₁; 150 μg/animal/day), as individual myco...
Kidney Rats, Wistar Liver Fatty Acids Fumonisins Organ Size Zearalenone Animals Male Trichothecenes Membrane Lipids
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Enzymatic preparation of "functional oil" rich in feruloylated structured lipids with solvent-free ultrasound pretreatment.

Food chemistry Dec 19, 2017
In this study, a series of functional oils rich in feruloylated structured lipids (FSLs) was prepared by enzymatic transesterification of ethyl ferulate (EF) with triglycerides under ultrasound pretreatment. A conversion of more than 92.7% and contro...
Kinetics Esterification Fatty Acids Lipase Solvents Antioxidants Triglycerides Ultrasonics Plant Oils Caffeic Acids Lipids
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