AIMC Topic: Red Meat

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Trace elements and machine learning for Brazilian beef traceability.

Food chemistry Jul 4, 2020
Brazilian livestock with a herd of more than 215 million animals is distributed over a vast area of 160 million hectares, leading the country to the first position in the world beef exports and second in beef production and consumption. Animals risen...
Neural Networks, Computer Brazil Trace Elements Cattle Red Meat Machine Learning Animals Ecosystem
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Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 14, 2020
High economic returns induce the continuous occurrence of meat adulteration. In this study, visible/near-infrared (Vis/NIR) reflectance spectroscopy with multivariate methods was used for the rapid detection of adulteration in minced beef. First, the...
Meat Red Meat Support Vector Machine Food Contamination Principal Component Analysis Neural Networks, Computer Animals Spectroscopy, Near-Infrared Cattle
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Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique.

Meat science Nov 12, 2019
Pricing of Hanwoo beef in the Korean market is primarily based on meat quality, and particularly on marbling score. The ability to accurately predict marbling score early in the life of an animal is extremely valuable for producers to meet the requir...
Machine Learning Red Meat Food Quality Ultrasonography Republic of Korea Cattle Reproducibility of Results Image Processing, Computer-Assisted Animals
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A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses.

Food research international (Ottawa, Ont.) Mar 22, 2019
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described...
Adult Cluster Analysis Models, Statistical Neural Networks, Computer Algorithms Young Adult Food Preferences Red Meat Raw Foods Odorants Taste Cooking Humans
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Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.

Meat science Jan 30, 2019
Different multivariate data analysis methods were investigated and compared to optimize rapid and non-destructive quantitative detection of beef adulteration with spoiled beef based on visible near-infrared hyperspectral imaging. Four multivariate st...
Cattle Support Vector Machine Food Contamination Least-Squares Analysis Red Meat Animals Spectroscopy, Near-Infrared
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Optimization of the protein extraction method of goat meat using factorial design and response surface methodology.

Food chemistry Dec 19, 2018
Protein extraction from goat meat was carried out based on the combination of response surface methodology and factorial design to optimize the variables: temperature (25-50 °C), extraction time (8-20 min), volume (3-10 mL) and extractor concentratio...
Hydrogen-Ion Concentration Food Handling Red Meat Meat Proteins Animals Proteomics Goats
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Supplementation with long-acting progesterone in early diestrus in beef cattle: I. effect of artificial insemination on onset of luteolysis.

Domestic animal endocrinology Dec 18, 2018
Progesterone (P4) supplementation in early diestrus advances changes in the endometrial transcriptome, stimulating embryonic development. However, it also induces early onset of luteolysis. Occurrence of luteolysis before D16 postmating can be detrim...
Progesterone Luteolysis Pregnancy Brazil Time Factors Insemination, Artificial Female Injections, Intramuscular Cattle Diestrus Animals Red Meat
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Prediction of pork loin quality using online computer vision system and artificial intelligence model.

Meat science Mar 7, 2018
The objective of this project was to develop a computer vision system (CVS) for objective measurement of pork loin under industry speed requirement. Color images of pork loin samples were acquired using a CVS. Subjective color and marbling scores wer...
Animals Red Meat Image Processing, Computer-Assisted Swine Adipose Tissue Artificial Intelligence Color
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Use of phenyl/tetrazolyl-functionalized magnetic microspheres and stable isotope labeled internal standards for significant reduction of matrix effect in determination of nine fluoroquinolones by liquid chromatography-quadrupole linear ion trap mass spectrometry.

Analytical and bioanalytical chemistry Dec 29, 2017
In this study, the strategy of unique adsorbent combined with isotope labeled internal standards was used to significantly reduce the matrix effect for the enrichment and analysis of nine fluoroquinolones in a complex sample by liquid chromatography ...
Tandem Mass Spectrometry Solid Phase Extraction Red Meat Magnets Adsorption Anti-Bacterial Agents Limit of Detection Food Analysis Fluoroquinolones
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A novel aspartic protease from Rhizomucor miehei expressed in Pichia pastoris and its application on meat tenderization and preparation of turtle peptides.

Food chemistry Oct 23, 2017
A novel aspartic protease gene (RmproA) was cloned from the thermophilic fungus Rhizomucor miehei CAU432 and expressed in Pichia pastoris. The RmproA was successfully expressed in P. pastoris as an active extracellular protease. High protease activit...
Pichia Aspartic Acid Proteases Papain Rhizomucor Sodium, Dietary Substrate Specificity Cloning, Molecular Enzyme Stability Red Meat Swine Hydrogen-Ion Concentration Recombinant Proteins Fermentation Drug Combinations Fungal Proteins Animals Turtles Peptides
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