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Elsevier Spectroscopy and Machine Learning Food Quality Safety - Volume 115

Amazon

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£125.99 £111.51 £114.67 £117.83 £120.99 £124.15 £127.31 31 July 2026 18 August 2026 05 September 2026 23 September 2026 11 October 2026
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Description

Spectroscopy and Machine Learning Tools for Food Quality and Safety is Volume 115 in the Advances in Food and Nutrition Research series, presenting cutting-edge advances in analytical techniques for the food industry. This comprehensive collection explores NIR applications in livestock farming systems and derived products, fluorescence spectroscopy methods for grape and wine composition analysis and quality control, and spectroscopic approaches to meat quality and safety assurance from farm to fork. The volume also covers Raman and mid-infrared spectroscopy techniques for food safety assessment and compositional analysis. Published by Academic Press, this resource combines spectroscopic instrumentation with machine learning methodologies to provide food scientists, quality assurance professionals, and researchers with practical solutions for ensuring food safety and quality standards throughout the supply chain.

Key Features

NIR spectroscopy applications in livestock farming systems and analysis of derived food products.

Fluorescence spectroscopy techniques for evaluating grape and wine composition and quality control standards.

Farm-to-fork spectroscopic methods for assessing meat quality and ensuring safety assurance protocols.

Raman and mid-infrared spectroscopy approaches for comprehensive food safety and compositional analysis.

Machine learning integration with spectroscopic tools to advance food quality detection and assessment.

Volume 115 in the Advances in Food and Nutrition Research series from Academic Press.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 August 2025
Listed Since
10 January 2025

Barcode

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