Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence is a comprehensive resource that discusses spectroscopic techniques and their application to food quality analysis, including multivariate analysis and artificial intelligence applications. It also covers chromatographic methods for analyzing various food items.

Format: Paperback / softback
Length: 222 pages
Publication date: 23 November 2022
Publisher: Elsevier Science & Technology

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence is a comprehensive resource that delves into diverse spectroscopic techniques and their application in the realm of food quality analysis. With a unique approach that incorporates multivariate analysis and artificial intelligence applications, this book offers a comprehensive exploration of the field. It also provides valuable insights into chromatographic methods, which are employed to analyze a wide array of food items, including wheat flours, oils, and fats. Authored by a team of interdisciplinary experts, this publication serves as a valuable resource for researchers and professionals engaged in the food industries.

The book begins by introducing the fundamental principles of spectroscopy and their relevance in food quality analysis. It then proceeds to discuss various spectroscopic techniques, such as near-infrared spectroscopy (NIR), infrared spectroscopy (IR), Raman spectroscopy, and multivariate analysis, in detail. Each technique is explored in terms of its principles, instrumentation, and applications in food quality assessment.

Furthermore, the book emphasizes the integration of artificial intelligence applications in food quality analysis. It discusses the use of machine learning algorithms, data mining techniques, and pattern recognition methods to analyze large datasets and identify patterns that can be used to predict food quality attributes. The authors also explore the potential of artificial intelligence in the development of new food safety and quality control systems.

In addition to spectroscopic techniques, the book also provides comprehensive coverage of chromatographic methods. It discusses the principles of gas chromatography (GC), liquid chromatography (LC), and capillary electrophoresis (CE), as well as their applications in the analysis of food components. The authors discuss the separation techniques, detection methods, and quantification capabilities of these methods and how they can be used to identify and quantify various food additives, contaminants, and natural compounds.

The book is organized into five chapters, each covering a specific aspect of food quality analysis. The first chapter provides an overview of the analytical methods used in food quality analysis, while the subsequent chapters focus on the application of specific spectroscopic and chromatographic techniques. The final chapter summarizes the key findings and provides recommendations for future research in the field.

Overall, Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence is a comprehensive and authoritative resource that provides valuable insights into the field of food quality analysis. It is written in a clear and concise manner, making it accessible to researchers, students, and professionals alike. The inclusion of multivariate analysis and artificial intelligence applications makes this book particularly relevant in today's rapidly evolving food industry, where the demand for efficient and accurate food quality assessment is increasing.

Weight: 376g
Dimension: 151 x 228 x 19 (mm)
ISBN-13: 9780323959889