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This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis. Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.
This informative volume presents the application of advanced spectroscopic techniques in the analysis of food quality for novice researchers and professionals looking for cross comparison of techniques.
The use of spectroscopy in food analysis is growing and this informative volume presents the application of advanced spectroscopic techniques in the analysis of food quality. The spectroscopic techniques include visible and NIR spectroscopy, FTIR spectroscopy and Laser-induced Breakdown Spectroscopy (LIBS). A wide range of food and beverage items are covered including tea, coffee and wine. The chapters will highlight the potential of spectroscopic techniques to enrich the food quality analysis experience when coupled with artificial intelligence and machine learning and provide a good opportunity to assess and critically lay out any future prospects. Different chapters have been written using a bottom-up approach that suits the needs of novice researchers and at the same time offers a smooth read for professionals. The book will also be of use to those developing spectroscopic facilities providing a useful cross comparison of the various techniques.
This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.
Machine learning (ML) has recently become popular in chemical and biological sensing applications. ML is a subset of artificial intelligence (AI) and other AI techniques have been used in various chemical and biological sensing. Machine Learning and Artificial Intelligence in Chemical and Biological Sensing covers the theoretical background and practical applications of various ML/AI methods toward chemical and biological sensing. No comprehensive reference text has been available previously to cover the wide breadth of this topic. The Editors have written the first three chapters to firmly introduce the reader to fundamental ML theories that can be used for chemical/biosensing. The subsequent chapters then cover the practical applications with contributions by various experts in the field. They show how ML and AI-based techniques can provide solutions for: 1) identifying and quantifying target molecules when specific receptors are unavailable 2) analyzing complex mixtures of target molecules, such as gut microbiome and soil microbiome 3) analyzing high-throughput and high-dimensional data, such as drug screening, molecular interaction, and environmental toxicant analysis, 4) analyzing complex data sets where fingerprinting approach is needed This book is written primarily for upper undergraduate students, graduate students, research staff, and faculty members at teaching and research universities and colleges who are working on chemical sensing, biosensing, analytical chemistry, analytical biochemistry, biomedical imaging, medical diagnostics, environmental monitoring, and agricultural applications. - Presents the first comprehensive reference text on the use of ML and AI for chemical and biological sensing - Provides a firm grounding in the fundamental theories on ML and AI before covering the practical applications with contributions by various experts in the field - Includes a wide array of practical applications covered, including: E-nose, Raman, SERS, lens-free imaging, multi/hyperspectral imaging, NIR/optical imaging, receptor-free biosensing, paper microfluidics, single molecule analysis in biomedicine, in situ protein characterization, microbial population dynamics, and all-in-one sensor systems
Roselle (Hibiscus sabdariffa) Chemistry, Production, Products, and Utilization assesses the Hibiscus sabdariffa plant for food and nonfood uses, as well as for its use as fixed or essential oils. The chapters explore Hibiscus sabdariffa breeding, production, composition, storage, and quality related to the chemistry, nutrition, antioxidant activity, and traditional uses of its bioactive components. This book also includes coverage of medicinal, pharmacological, therapeutic, and cosmetic uses of Hibiscus sabdariffa. This book will be of interest to nutritionists, food scientists, chemists, ethnobotanists, pharmacists, academics, undergraduate and graduate students, and professionals working with medicinal plants. - Summarizes research developments related to Hibiscus sabdariffa - Presents the practical applications of Hibiscus sabdariffa in industries such as food, cosmetics, medicine, and flavoring - Explains the chemistry, nutrition, and medicinal importance of Hibiscus sabdariffa and its products
Food Quality Analysis: Applications of Analytical Methods Coupled With Artificial Intelligence provides different spectroscopic techniques and their application to food quality analysis, with the unique approach of adding multivariate analysis as well as artificial intelligence applications. It also brings chromatographic methods for the analysis of a wide range of food items including wheat flours, oils and fats. Written by a team of interdisciplinary experts, this is a valuable resource for researchers and personnel involved in food industries. - Covers food quality analysis experience combined with spectroscopic techniques, artificial intelligence and machine learning - Presents the applications of analytical techniques to speed up the resolution of food safety issues, prevent food fraud and traceability purposes - Explores different spectroscopic techniques and their application to food quality analysis
Analysis of Foods and Beverages: Modern Techniques covers the principles and practical applications of selected analytical methodologies in the field of food and beverages. It also gives an informed forecast of developments in this field. The book focuses on developed fields of scanning electron microscopy, X-ray microanalysis, differential laser light scattering, near-infrared reflectance and Fourier transformations, and continuous-flow and flow-injection analyses. It also includes mass spectrometry, nuclear magnetic resonance, and bioassay. This text also describes traditional techniques, such as the various forms of chromatography. Furthermore, the book presents an introduction of molecular analysis of synthetic flavors and the automation of food analysis by use of computers, robotics, and other on-line methods. Students, teachers, researchers, and all food analysts will find this book valuable, as it can provide information on the various modern analytical techniques in the food industry.
A comprehensive source of in-depth information provided on existing and emerging food technologies based on the electromagnetic spectrum Electromagnetic Technologies in Food Science examines various methods employed in food applications that are based on the entire electromagnetic (EM) spectrum. Focusing on recent advances and challenges in food science and technology, this is an up-to-date volume that features vital contributions coming from an international panel of experts who have shared both fundamental and advanced knowledge of information on the dosimetry methods, and on potential applications of gamma irradiation, electron beams, X-rays, radio and microwaves, ultraviolet, visible, pulsed light, and more. Organized into four parts, the text begins with an accessible overview of the physics of the electromagnetic spectrum, followed by discussion on the application of the EM spectrum to non-thermal food processing. The physics of infrared radiation, microwaves, and other advanced heating methods are then deliberated in detail—supported by case studies and examples that illustrate a range of both current and potential applications of EM-based methods. The concluding section of the book describes analytical techniques adopted for quality control, such as hyperspectral imaging, infrared and Raman spectroscopy. This authoritative book resource: Covers advanced theoretical knowledge and practical applications on the use of EM spectrum as novel methods in food processing technology Discusses the latest progress in developing quality control methods, thus enabling the control of continuous fast-speed processes Explores future challenges and benefits of employing electromagnetic spectrum in food technology applications Addresses emerging processing technologies related to improving safety, preservation, and overall quality of various food commodities Electromagnetic Technologies in Food Science is an essential reading material for undergraduate and graduate students, researchers, academics, and agri-food professionals working in the area of food preservation, novel food processing techniques and sustainable food production.
Advances in instrumentation and applied instrumental analysis methods have allowed scientists concerned with food and beverage quality, labeling, compliance, and safety to meet ever increasing analytical demands. Texts dealing with instrumental analysis alone are usually organized by the techniques without regard to applications. The biannual review issue of Analytical Chemistry under the topic of Food Analysis is organized by the analyte such as N and protein, carbohydrate, inorganics, enzymes, flavor and odor, color, lipids, and vitamins. Under 'flavor and odor' the subdivisions are not along the lines of the analyte but the matrix (e.g. wine, meat, dairy, fruit) in which the analyte is being determined. In "Instrumentation in Food and Beverage Analysis" the reader is referred to a list of 72 entries entitled "Instrumentation and Instrumental Techniques" among which molecular spectroscopy, chromatographic and other sophisticated separations in addition to hyphenated techniques such as GS-Mass spectrometry. A few of the entries appear under a chapter named for the technique. Most of the analytical techniques used for determination, separations and sample work prior to determination are treated in the context of an analytical method for a specific analyte in a particular food or beverage matrix with which the author has a professional familiarity, dedication, and authority. Since, in food analysis in particular, it is usually the food matrix that presents the research analytical chemist involved with method development the greatest challenge.