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Author:   Kristian Pastor
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Weight:   0.711kg
ISBN:  

9783031302879

ISBN 10:   3031302877
Pages:   353
Publication Date:   28 July 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Part I. Introduction.- Chapter 1. Gas Chromatography and Mass Spectrometry: The Technique.- Chapter 2. Statistical and Mathematical Models in Food Authentication.- Part II. Authentication of Food.- Chapter 3. Cereals, Pseudocereals, Flour and Bakery Products.- Chapter 4. Edible Oils and Fats.- Chapter 5. Milk and Dairy Products.- Chapter 6. Meat, Eggs, Fish and Seafood.- Chapter 7. Honey and Bee Products.- Chapter 8. Fruits, Vegetables, Nuts and Fungi.- Chapter 9.- Herbs and Spices.- Part III. Authentication of Beverages.- Chapter 10. Fruit Juices.- Chapter 11. Coffee and Tea.- Chapter 12. Wine, Beer and Alcoholic Beverages.- Part IV. Outlook.- Chapter 13. Concluding Remarks and Future Perspectives. 

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Author Information

Dr. Kristian Pastor is holding a PhD in food engineering, and currently serves as a senior research associate at the Department of Applied and Engineering Chemistry, Faculty of Technology, University of Novi Sad, Serbia. He is very passionate about food forensics and data science – developing methods for food authentication and fraud detection, employing novel data treatment tools, and studying proper human nutrition and health beneficial effects of various foods and beverages. The participation in seminars, trainings, projects and mobility programs in various cultural and professional surroundings such as Iran, Austria, Oman, Germany, Turkey, India, Greece, Morocco and others, significantly influenced his personal and professional development. Having a wide-ranging research interests, he worked in various fields including food analysis and technology, nutrition, environmental monitoring, bioenergy and biofuels, nanomaterials and nanotechnology, data science and applicative machinelearning.

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