AIMC Topic: Food Storage

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Deep learning models with optimized fluorescence spectroscopy to advance freshness of rainbow trout predicting under nonisothermal storage conditions.

Food chemistry May 22, 2024
This study established long short-term memory (LSTM), convolution neural network long short-term memory (CNN_LSTM), and radial basis function neural network (RBFNN) based on optimized excitation-emission matrix (EEM) from fish eye fluid to predict fr...
Food Storage Oncorhynchus mykiss Neural Networks, Computer Animals Deep Learning Spectrometry, Fluorescence Seafood
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Machine learning-enabled hyperspectral approaches for structural characterization of precooked noodles during refrigerated storage.

Food chemistry Apr 16, 2024
The structural features of precooked noodles during refrigerated storage were non-destructively characterized using hyperspectral imaging (HSI) technology along with conventional analytical methods. The precooked noodles displayed a more rigid textur...
Machine Learning Refrigeration Starch Hyperspectral Imaging Food Storage
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Development of machine learning-based shelf-life prediction models for multiple marine fish species and construction of a real-time prediction platform.

Food chemistry Apr 10, 2024
At least 10 million tons of seafood products are spoiled or damaged during transportation or storage every year worldwide. Monitoring the freshness of seafood in real time has become especially important. In this study, four machine learning algorith...
Machine Learning Temperature Gas Chromatography-Mass Spectrometry Seafood Electronic Nose Food Storage Animals Fishes
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Rapid and non-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning.

Meat science Mar 31, 2024
Volatile organic compounds (VOCs) indicative of pork microbial spoilage can be quantified rapidly at trace levels using selected-ion flow-tube mass spectrometry (SIFT-MS). Packaging atmosphere is one of the factors influencing VOC production patterns...
Pork Meat Neural Networks, Computer Oxygen Machine Learning Volatile Organic Compounds Mass Spectrometry Animals Food Storage Food Microbiology Swine Food Packaging
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Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment.

Food chemistry Mar 21, 2024
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was developed for meat freshness real-time monitoring from development to deployment. The array was made up of copper metal nanoclusters (CuNCs) and fluorescent dyes, having...
Food Storage Methylamines Fluorescent Dyes Ammonia Animals Swine Deep Learning Meat Copper
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Artificial neural network-based shelf life prediction approach in the food storage process: A review.

Critical reviews in food science and nutrition Sep 9, 2023
The prediction of food shelf life has become a vital tool for distributors and consumers, enabling them to determine storage and optimal edible time, thus avoiding unexpected food waste. Artificial neural network (ANN) have emerged as an effective, f...
Food Quality Algorithms Neural Networks, Computer Fruit Food Storage
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Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies.

Food chemistry Jul 4, 2020
Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3-ols (catechin, gallocatechin, among others). The interest of flavan-3-ols has increased due their bioactive actions, namely antioxidant and ...
Hydrogen-Ion Concentration Fruit Powders Catechin Food Storage Solutions Food Preservatives Machine Learning Flavonoids Temperature Kinetics Antioxidants Neural Networks, Computer Plant Extracts Ericaceae Support Vector Machine
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Nondestructive determination of freshness indicators for tilapia fillets stored at various temperatures by hyperspectral imaging coupled with RBF neural networks.

Food chemistry Sep 15, 2018
This study develops a reliable radial basis function neural networks (RBFNNs) to estimate freshness for tilapia fillets stored under non-isothermal conditions by using optimal wavelengths from hyperspectral imaging (HSI). The results show that, for t...
Nitrogen Tilapia Seafood Temperature Animals Food Storage Food Quality Neural Networks, Computer
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Effect of storage conditions in the response of Listeria monocytogenes in a fresh purple vegetable smoothie compared with an acidified TSB medium.

Food microbiology Nov 13, 2017
In this study, growth and/or inactivation of Listeria monocytogenes 4032 at different inoculum levels in a vegetable smoothie with purple colour, (previously heat stabilised at 95 °C for 3 min) was evaluated. Growth/inactivation was compared with aci...
Hydrogen-Ion Concentration Culture Media Vegetables Colony Count, Microbial Temperature Food Contamination Food Storage Fruit and Vegetable Juices Microbial Viability Listeria monocytogenes
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Fingerprinting of Boletus bainiugan: FT-NIR spectroscopy combined with machine learning a new workflow for storage period identification.

Food microbiology Aug 1, 2025
Food authenticity and food safety issues have threatened the prosperity of the entire community. The phenomenon of selling porcini mushrooms as old mixed with new jeopardizes consumer safety. Herein, nucleoside contents and spectra of 831 Boletus bai...
Machine Learning Spectroscopy, Near-Infrared Spectroscopy, Fourier Transform Infrared Neural Networks, Computer Nucleosides Chromatography, High Pressure Liquid Food Storage Food Contamination Workflow Agaricales
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