Spectroscopy and Machine Learning Tools for Food Quality and Safety

Erscheinungsjahr 2025
ISBN: 978-0-443-34593-7
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

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.

Autoren/Hrsg.

Weitere Mitwirkende

Cozzolino, Daniel

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Lebensmitteltechnologie und Getränketechnologie
• Naturwissenschaften Biowissenschaften Mikrobiologie

Inhaltsverzeichnis

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

Über Autor(innen)

Cozzolino, Daniel
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.