AIMC Topic: Food Analysis

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Machine Learning-Assisted Chemical Tongues Based on Dual-channel Inclusion Complexes for Rapid Identification of Nonsteroidal Anti-inflammatory Drugs in Food.

ACS sensors Feb 24, 2025
The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and...
Food Analysis Imidazoles Anti-Inflammatory Agents, Non-Steroidal Machine Learning Animals Food Contamination Heterocyclic Compounds, 2-Ring Bridged-Ring Compounds Imidazolidines Spectrometry, Fluorescence Milk Macrocyclic Compounds
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Comparative performance of artificial neural networks and support vector Machines in detecting adulteration of apple juice concentrate using spectroscopy and time domain NMR.

Food research international (Ottawa, Ont.) Dec 30, 2024
The detection of adulteration in apple juice concentrate is critical for ensuring product authenticity and consumer safety. This study evaluates the effectiveness of artificial neural networks (ANN) and support vector machines (SVM) in analyzing spec...
Malus Magnetic Resonance Spectroscopy Neural Networks, Computer Spectroscopy, Near-Infrared Support Vector Machine Food Contamination Food Analysis Fruit and Vegetable Juices
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Lightweight deep learning algorithm for real-time wheat flour quality detection via NIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 22, 2024
Wheat flour quality, determined by factors such as protein and moisture content, is crucial in food production. Traditional methods for analyzing these parameters, though precise, are time-consuming and impractical for large-scale operations. This st...
Deep Learning Food Analysis Triticum Quality Control Flour Food Quality Neural Networks, Computer Algorithms Spectroscopy, Near-Infrared
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Mass Spectrometry Imaging for Spatial Ingredient Classification in Plant-Based Food.

Journal of the American Society for Mass Spectrometry Dec 7, 2024
Mass spectrometry imaging (MSI) techniques enable the generation of molecular maps from complex and heterogeneous matrices. A burger patty, whether plant-based or meat-based, represents one such complex matrix where studying the spatial distribution ...
Food Analysis Spectrometry, Mass, Electrospray Ionization Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Food Contamination Vegetables Food Ingredients
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Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing.

ACS nano Dec 2, 2024
The development of novel detection technology for meat species authenticity is imperative. Here, we developed a machine learning-supported, dual-channel biosensor-in-microdroplet platform for meat species authenticity detection named CC-drop (RISPR/C...
Animals Biosensing Techniques Food Analysis Machine Learning Nucleic Acids Bacterial Proteins Endodeoxyribonucleases Meat CRISPR-Associated Proteins CRISPR-Cas Systems
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Enhanced food authenticity control using machine learning-assisted elemental analysis.

Food research international (Ottawa, Ont.) Nov 13, 2024
With the increasing attention being paid to the authenticity of food, efficient and accurate techniques that can solve relevant problems are crucial for improving public trust in food. This review explains two main aspects of food authenticity, namel...
Food, Organic Food Analysis Machine Learning Food Quality Quality Control Algorithms Metals, Heavy Food Contamination
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Active Quantum Biomaterials-Enhanced Microrobots for Food Safety.

Small (Weinheim an der Bergstrasse, Germany) Oct 24, 2024
Timely disruptive tools for the detection of pathogens in foods are needed to face global health and economic challenges. Herein, the utilization of quantum biomaterials-enhanced microrobots (QBEMRs) as autonomous mobile sensors designed for the prec...
Food Analysis Salmonella typhimurium Food Microbiology Robotics Endotoxins
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Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.

Journal of food science Oct 4, 2024
In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Databa...
Humans Machine Learning Algorithms Diet Food Analysis Energy Intake Nutritive Value Risk Assessment Glycemic Index
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Machine Learning-Based Nanozyme Sensor Array as an Electronic Tongue for the Discrimination of Endogenous Phenolic Compounds in Food.

Analytical chemistry Sep 26, 2024
The detection of endogenous phenolic compounds (EPs) in food is of great significance in elucidating their bioactivity and health effects. Here, a novel bifunctional vanillic acid-Cu (VA-Cu) nanozyme with peroxidase-like and laccase-like activities w...
Copper Vanillic Acid Laccase Peroxidase Nanostructures Electronic Nose Honey Neural Networks, Computer Food Analysis Fruit and Vegetable Juices Machine Learning Tea Benzidines Phenols
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Environmentally Sustainable Detection of Arsenic using Convolutional Neural Networks and Imidazole-Based Organic Probes: Application in Food Samples and Arsenic Album.

Chemical research in toxicology Sep 12, 2024
Arsenic contamination poses a significant health risk, particularly when it infiltrates water supplies. While current detection methods offer precise analysis, they often involve complex instrumentation not suitable for field use. This study presents...
Neural Networks, Computer Colorimetry Molecular Structure Food Contamination Arsenic Food Analysis Imidazoles
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