AIMC Topic: Milk

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Enhanced authentication of organic milk using MALDI-TOF MS with combined lipid-peptide fingerprinting and machine learning integration.

Food chemistry Feb 10, 2025
This study introduces a method for authenticating organic milk and determining its geographic region using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Both lipids and peptides were analyzed, and their ...
Machine Learning Animals Peptides Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Milk Cattle Food, Organic Food Contamination Peptide Mapping Lipids
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Providing concentrate feed outside of the milking robot increases feed intake in dairy cows without reducing motivation to visit the robot.

Animal : an international journal of animal bioscience Feb 10, 2025
Appropriate and adequate feeding is essential to maintaining good health, productivity and welfare of dairy cows. Within automatic milking systems, concentrate feed is offered inside the milking robot, and is thought to play a key role in motivating ...
Motivation Feeding Behavior Dairying Cattle Robotics Eating Animal Feed Lactation Milk Female Animals
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Prediction of ketosis using radial basis function neural network in dairy cattle farming.

Preventive veterinary medicine Dec 20, 2024
The purpose of the paper was to apply an Artificial Neural Networks with Radial Basis Function to develop an application model for diagnosing a subclinical ketosis type I and II in dairy cattle. While building the neural network model, applied method...
Neural Networks, Computer Ketosis Radial Basis Function Networks Female Poland Milk Sensitivity and Specificity Cattle Dairying Cattle Diseases Animals 3-Hydroxybutyric Acid
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Machine Learning-Assisted Liquid Crystal Optical Sensor Array Using Cysteine-Functionalized Silver Nanotriangles for Pathogen Detection in Food and Water.

ACS applied materials & interfaces Dec 12, 2024
The challenge of rapid identification of bacteria in food and water still persists as a major health problem. To tackle this matter, we have developed a single-probe liquid crystal (LC)-based optical sensing platform for the differentiation of five c...
Liquid Crystals Milk Water Microbiology Cysteine Machine Learning Metal Nanoparticles Bacteria Silver Food Microbiology
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Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks.

Food chemistry Nov 17, 2024
In dairy enterprises, predicting product quality attributes that are influenced by operating parameters is a major task. To reduce quality loss in production, a prediction-based quality control method is proposed in this study. In particular, a seria...
Dairying Quality Control Neural Networks, Computer Milk Animals Powders Cattle
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Milk adulteration identification using hyperspectral imaging and machine learning.

Journal of dairy science Nov 8, 2024
Milk adulteration poses a global concern, with developing countries facing higher risks due to unsatisfactory monitoring systems and policies. Surprisingly, this common issue has often been overlooked in many countries. Contrary to popular belief, ad...
Machine Learning Hyperspectral Imaging Cattle Animals Food Contamination Milk
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Predicting Lactobacillus delbrueckii subsp. bulgaricus-Streptococcus thermophilus interactions based on a highly accurate semi-supervised learning method.

Science China. Life sciences Oct 14, 2024
Lactobacillus delbrueckii subsp. bulgaricus (L. bulgaricus) and Streptococcus thermophilus (S. thermophilus) are commonly used starters in milk fermentation. Fermentation experiments revealed that L. bulgaricus-S. thermophilus interactions (LbStI) su...
Milk Animals Lactobacillus delbrueckii Computational Biology Streptococcus thermophilus Supervised Machine Learning Fermentation
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Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk.

Journal of food science Oct 11, 2024
To quickly achieve nondestructive detection of protein content in fresh milk, this study utilized a network analyzer and an open coaxial probe to analyze the dielectric spectra of milk samples at 100 frequency points within the 2-20 GHz range, focusi...
Dielectric Spectroscopy Milk Proteins Decision Trees Least-Squares Analysis Milk Machine Learning Animals Algorithms Cattle Support Vector Machine
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production.

mSystems Oct 10, 2024
UNLABELLED: The increasing knowledge of microbial ecology in food products relating to quality and safety and the established usefulness of machine learning algorithms for anomaly detection in multiple scenarios suggests that the application of micro...
Algorithms Animals Food Microbiology Artificial Intelligence Metagenomics Machine Learning Principal Component Analysis Microbiota Milk
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Cuprospinel decorated biopolymer functionalized CNFs based electrocatalytic platform integrated with grid search optimized neural network for detection of vital amino acid in beverages.

Food chemistry Oct 5, 2024
An electrocatalytic platform based on a novel nanocomposite integrated with a grid search-optimized neural network (GSNN) was proposed for intelligent sensing of tryptophan. The cuprospinel-decorated chitosan-functionalized carbon nanofibers (CuFeO/C...
Neural Networks, Computer Animals Carbon Limit of Detection Catalysis Copper Solanum lycopersicum Chitosan Oxidation-Reduction Electrochemical Techniques Nanofibers Biopolymers Fruit and Vegetable Juices Milk Tryptophan Beverages Electrodes Nanocomposites
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