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Dr. Xiaoli Chu received his B.S. degree in chemical engineering from Yantai University in 1996 and his M.S. degree and Ph.D. degree in applied chemistry from the Research Institute of Petroleum Processing (RIPP) in 1999 and 2004, respectively. He is currently the director of a research group on spectroscopy and Chemometrics in Analytical Research Department at the RIPP. His research interests include the research and applications of molecular spectroscopy (UV-visible, infrared, near infrared and Raman) combined with Chemometrics methods for petroleum and petrochemicals. He has applied for more than 40 invention patents; over 30 patents have realized industrialization, and has authored several books.He acted as the guest editor of the special issue of Journal of Near Infrared Spectroscopy. He has been very active in the China Spectroscopy Analysis Community, and organized the first Chinese National Near Infrared Spectroscopy Conference in 2006, co-organized the 2nd Asian Spectroscopy Symposium in 2009 and the 6th Asian Spectroscopy Symposium in 2018. As the secretary-general, he organized the 20th International Conference on Near Infrared Spectroscopy (ICNIRS 2021) which was held in Beijing.
Dr. Yue Huang received his Ph.D. degree from the China Agricultural University in 2012. During 2012-2016, he worked at Beijing R&D Centre of China Tobacco on food quality control. Since 2018, he started to work at China Agricultural University as an associate professor of food safety and nutrition. His research interest focuses on the applications of spectral analysis, hyperspectral imaging, and nondestructive detection on foods. He has published over 50 refereed articles. He is the editorial board member of Food Research and Development (Chinese Journal).
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.
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Nº de ref. del artículo: 571810557
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 612 pp. Englisch. Nº de ref. del artículo: 9789811916243
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