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Spectroscopy and Machine Learning Tools for Food Quality and Safety. Advances in Food and Nutrition Research Volume 115

  • Book

  • August 2025
  • Elsevier Science and Technology
  • ID: 6051740
Spectroscopy and Machine Learning Tools for Food Quality and Safety, Volume 115 in the Advances in Food and Nutrition Research series, highlights new advances in the field, with this new volume presenting interesting chapters related to Spectroscopy and Machine Learning Tools. Chapters in this new release include NIR applications in livestock farming systems and derived products, Fluorescence spectroscopy in grape and wine composition and quality control, From Farm to Fork: Spectroscopy in Meat Quality and Safety Assurance, Raman and Mid infrared in food safety and composition, Spectroscopy food functionality and safety, and Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring.

Table of Contents

1. NIR applications in livestock farming systems and derived products
Jos� Antonio Entrenas de Le�n and Dolores PEREZ-MARIN
2. Fluorescence spectroscopy in grape and wine composition and quality control
David William Jeffery
3. From Farm to Fork: Spectroscopy in Meat Quality and Safety Assurance
Yash Dixit and Marlon M. Reis
4. Raman and Mid infrared in food safety and composition
Luis E. Rodriguez-Saona
5. Spectroscopy food functionality and safety
R Pandiselvam
6. Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring
Krzysztof B. Bec, Justyna Grabska and Christian Huck