Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence, 1st edition

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence, 1st edition

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Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence, 1st edition

By Ashutosh Kumar Shukla

Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence is a comprehensive guide that explores the use of different spectroscopic techniques in food quality analysis. Authored by Ashutosh Kumar Shukla, this book takes a unique approach by incorporating multivariate analysis and artificial intelligence applications to provide a holistic perspective on the subject. With the inclusion of chromatographic methods, the book covers the analysis of various food items such as wheat flours, oils, and fats. Written by a team of interdisciplinary experts, this book is a valuable resource for researchers and individuals working in the food industry.

Food quality analysis plays a crucial role in ensuring that consumers receive safe and high-quality food products. Traditional methods of food analysis often rely on sensory evaluations or chemical assays, which can be time-consuming and subjective. However, with the advancements in analytical methods and artificial intelligence, researchers now have more efficient and objective tools at their disposal. This book delves into these modern techniques and their applications in the field of food quality analysis.

The book begins by introducing the various spectroscopic techniques used in food analysis, such as infrared spectroscopy, near-infrared spectroscopy, and Raman spectroscopy. Each technique is explained in detail, along with its advantages, limitations, and specific applications in food quality analysis. The author also emphasizes the importance of multivariate analysis, which allows researchers to analyze complex data sets and extract meaningful information.

One of the highlights of this book is its focus on the integration of artificial intelligence methods in food quality analysis. Artificial intelligence, particularly machine learning algorithms, has revolutionized many fields, including food science. By combining analytical methods with artificial intelligence, researchers can develop robust models that can predict the quality and authenticity of food products. This has significant implications for food safety and fraud detection, as well as quality control and product development.

The book also covers chromatographic methods, which are widely used in food analysis. Chromatography allows the separation and identification of individual components in complex food matrices. The author provides insights into the application of chromatographic techniques, such as gas chromatography and liquid chromatography, for the analysis of various food items. The use of advanced detection techniques, such as mass spectrometry, further enhances the sensitivity and selectivity of these methods.

Throughout the book, the authors highlight real-world applications of the discussed techniques. They provide examples of how spectroscopic and chromatographic methods have been successfully applied to analyze food products, ranging from grains and oils to meat and dairy products. These case studies not only demonstrate the effectiveness of the methods but also highlight their potential in solving practical problems in the food industry.

The interdisciplinary nature of this book is another strength. It brings together experts from different fields, including analytical chemistry, food science, and artificial intelligence. This interdisciplinary approach ensures that readers gain a comprehensive understanding of the subject, as it covers both the theoretical background and practical applications.

In conclusion, Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence is a valuable resource for anyone involved in food quality analysis. It provides a thorough exploration of various spectroscopic and chromatographic techniques, as well as their integration with artificial intelligence. The book not only educates readers about the principles behind these methods but also inspires them to explore their potential applications in the food industry. Whether you are a researcher, a food industry professional, or simply interested in the topic, this book offers valuable insights and knowledge that can enhance your understanding and expertise. Get your copy today and unlock the possibilities of modern food quality analysis.

Product Details

  • Publisher ‏ : ‎ Academic Press; 1st edition (December 7, 2022)
  • Language ‏ : ‎ English
  • ‏ : ‎ 222 pages
  • ISBN-10 ‏ : ‎ 0323959881
  • ISBN-13 ‏ : ‎ 978-0323959889

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