Spectroscopy and Machine Learning Tools for Food Quality and Safety
Series: Advances in Food and Nutrition Research; 115;
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53 917 Ft (51 350 Ft + 5% VAT)
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53 917 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 29 August 2025
- ISBN 9780443345937
- Binding Hardback
- No. of pages230 pages
- Size 229x152 mm
- Weight 450 g
- Language English 691
Categories
Long description:
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.
MoreTable of Contents:
1. NIR applications in livestock farming systems and derived products
Josï¿1⁄2 Antonio Entrenas de Leï¿1⁄2n 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
The Thirteenth-Century Notion of Signification: The Discussions and their Origin and Development
52 258 HUF
48 078 HUF
