Spectroscopy and Machine Learning Tools for Food Quality and Safety
- 1st Edition, Volume 115 - August 25, 2025
- Latest edition
- Editor: Daniel Cozzolino
- Language: English
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 t… Read more
Description
Description
Key features
Key features
- 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
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 115
- Published: August 29, 2025
- Language: English
About the editor
About the editor
Daniel Cozzolino
Prof. Dr. Daniel Cozzolino is an internationally recognized scientist in food chemistry, chemometrics, spectroscopy, and machine learning applications in food and agricultural systems. His research focuses on the application of vibrational spectroscopy, hyperspectral imaging, and artificial intelligence for food quality, authenticity, traceability, and compositional analysis. He has extensive academic and industrial experience across Australia, Uruguay, and international research institutions, and is widely recognized for pioneering contributions to rapid analytical technologies and AI-assisted food analysis.