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Spectroscopy and Machine Learning Tools for Food Quality and Safety: Advances in Food and Nutrition Research, cartea 115

Daniel Cozzolino
en Limba Engleză Hardback – aug 2025
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.

  • Provides the latest information on Advances in Food and Nutrition Research
  • Offers outstanding and original reviews on a range of Spectroscopy and Machine Learning Tools for Food Quality and Safety topics
  • Serves as an indispensable reference for researchers and students alike
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Specificații

ISBN-13: 9780443345937
ISBN-10: 0443345937
Pagini: 230
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Advances in Food and Nutrition Research


Cuprins

1. NIR applications in livestock farming systems and derived products
José Antonio Entrenas de León 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