Автор: Federico Marini Название: Chemometrics in Food Chemistry,28 ISBN: 0444595287 ISBN-13(EAN): 9780444595287 Издательство: Elsevier Science Рейтинг: Цена: 17903 р. Наличие на складе: Поставка под заказ.
Описание: The issues related to food science and authentication are of particular importance for researchers, consumers and regulatory entities. The need to guarantee quality foodstuff – where the word "quality" encompasses many different meanings, including e.g. nutritional value, safety of use, absence of alteration and adulterations, genuineness, typicalness, etc. – has led researchers to look for increasingly effective tools to investigate and deal with food chemistry problems. As even the simplest food is a complex matrix, the way to investigate its chemistry cannot be other than multivariate. Therefore, chemometrics is a necessary and powerful tool for the field of food analysis and control. . . For food science in general and food analysis and control in particular, there are several problems for which chemometrics are of utmost importance. Traceability, i.e. the possibility of verifying the animal/botanical, geographical and/or productive origin of a foodstuff, is, for instance, one area where the use of chemometric techniques is not only recommended but essential: indeed, at present no specific chemical and/or physico-chemical markers have been identified that can be univocally linked to the origin of a foodstuff and the only way of obtaining reliable traceability is by means of multivariate classification applied to experimental fingerprinting results. . Anotherarea where chemometrics is of particular importance is in building the bridge between consumer preferences, sensory attributes and molecular profiling of food: by identifying latent structures among the data tables, bilinear modeling techniques (such as PCA, MCR, PLS and its various evolutions) can provide an interpretable and reliable connection among these domains. Other problems include process control and monitoring, the possibility of using RGB or hyperspectral imaging techniques to nondestructively check food quality, calibration of multidimensional or hyphenated instrument
Автор: S.N. Deming Название: Chemometrics: A Textbook, ISBN: 0444426604 ISBN-13(EAN): 9780444426604 Издательство: Elsevier Science Рейтинг: Цена: 6347 р. Наличие на складе: Поставка под заказ.
Описание: As such the book provides the means to approach and solve analytical problems strategically and systematically, without the need for the reader to become a fully-fledged chemometrician. The authors` aim was to write a tutorial book which would be useful to readers at every level in this field.
Описание: This new edition contains 10 percent more worked examples as well as the addition of modern chemometric developments, such as support vector machines, wavelet transformations and multi-way analysis.
Описание: The chemometrics textbook with the widest coverage: Serving as both an introductory text and state-of-the-art reference, it covers all relevant subjects from basic statistics, via modeling and databases right up to the latest regulatory issues.
Автор: Steven D. Brown Название: Comprehensive Chemometrics, ISBN: 0444527028 ISBN-13(EAN): 9780444527028 Издательство: Elsevier Science Рейтинг: Цена: 313005 р. Наличие на складе: Поставка под заказ.
Описание: Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.<br><br>This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics-with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. <br><br>-features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg<br>-examines the merits and limitations of each technique through practical examples <br>and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) <br>-integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques <br>-consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind<br>-offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect
Автор: Pomerantsev Название: Chemometrics in Excel ISBN: 1118605357 ISBN-13(EAN): 9781118605356 Издательство: Wiley Рейтинг: Цена: 10106 р. Наличие на складе: Поставка под заказ.
Описание: Providing an explanation of the fundamentals, methods, and applications of chemometrics, this title acts as a practical guide to multivariate data analysis techniques. It explains the methods used in Chemometrics and teaches the reader to perform all relevant calculations. It presents the basic chemometric methods as worksheet functions in Excel.
Описание: Provides coverage of the various fields of chemometrics, starting with classical statistical met for hypothesis testing to advanced methods such as neural networks, genetic algorithms and latent variable based methods.
Автор: R.G. Brereton Название: Chemometrics Tutorials, ISBN: 0444888373 ISBN-13(EAN): 9780444888372 Издательство: Elsevier Science Рейтинг: Цена: 6347 р. Наличие на складе: Поставка под заказ.
Описание: Comprises reprints of tutorials from the first 5 volumes of this journal, covering the period from late 1986 to mid 1989. The authors of the papers include analytical, organic and environmental chemists, statisticians, pharmacologists, geologists, geochemists, computer scientists and biologists, which reflects the interdisciplinary communication.
Описание: Pattern recognition has been one of the fastest growth points in chemometrics. This title includes `Real world` pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science. It is suitable for chemometricians and analytical scientists.
Описание: Introduces the fundamentals of experimental design. This book discusses the effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance. It includes applications and topics such as confidence bands, rotatability, and confounding.
Автор: Howard Mark Название: Chemometrics in Spectroscopy, ISBN: 012374024X ISBN-13(EAN): 9780123740243 Издательство: Elsevier Science Рейтинг: Цена: 23100 р. Наличие на складе: Поставка под заказ.
Описание: Chemometrics in Spectroscopy builds upon the statistical information covered in other books written by these leading authors in the field by providing a broader range of mathematics and progressing into the fundamentals of multivariate and experimental data analysis. Subjects covered in this work include: matrix algebra, analytic geometry, experimental design, calibration regression, linearity, design of collaborative laboratory studies, comparing analytical methods, noise analysis, use of derivatives, analytical accuracy, analysis of variance, and much more are all part of this chemometrics compendium. Developed in the form of a tutorial offering a basic hands-on approach to chemometric and statistical analysis for analytical scientists, experimentalists, and spectroscopists. Without using complicated mathematics, Chemometrics in Spectroscopy demonstrates the basic principles underlying the use of common experimental, chemometric, and statistical tools. Emphasis has been given to problem-solving applications and the proper use and interpretation of data used for scientific research.
Описание: Provides coverage of the various fields of chemometrics, starting with classical statistics for hypothesis testing to advanced methods such as neural networks, genetic algorithms and latent variable based methods.
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