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2025
Fusion vs. Isolation: Evaluating the Performance of Multi-Sensor Integration for Meat Spoilage Prediction
Foods
2024
Non-Destructive Assessment of Microbial Spoilage of Broiler Breast Meat Using Structured Illumination Reflectance Imaging with Machine Learning
Food Analytical Methods
2024
Evaluation of the Quality Changes in Three Commercial Pastourma Samples during Refrigerated Storage Using Physicochemical, Microbiological, and Image Analyses Combined with Chemometrics
Foods
2023
Preliminary investigation into the prediction of indicators of beef spoilage using Raman and Fourier transform infrared spectroscopy
Meat Science
2023
Intelligent detection of quality deterioration and adulteration of fresh meat products in the supply chain: research progress and application
Food Bioscience
2022
Assessment of the Microbial Spoilage and Quality of Marinated Chicken Souvlaki through Spectroscopic and Biomimetic Sensors and Data Fusion
Microorganisms
2022
Spectroscopic Data for the Rapid Assessment of Microbiological Quality of Chicken Burgers
Foods
2021
Application and Integration of Omics-powered Diagnostics in Clinical and Public Health Microbiology
2021
Authentication and Quality Assessment of Meat Products by Fourier-Transform Infrared (FTIR) Spectroscopy
Food Engineering Reviews
2021
Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning
Frontiers in Microbiology
2020
A machine learning workflow for raw food spectroscopic classification in a future industry
Scientific Reports
2019
Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible—Near-Infrared Spectroscopy and Chemometrics
Foods
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