The Encyclopedia of Spectroscopy and Spectrometry provides authoritative and comprehensive coverage of the whole topic of spectroscopy, from theory to applications. Short articles, each covering one aspect of spectroscopy, provide the professional spectroscopist working in academia or industry with the essential facts and background on areas of spectroscopy peripheral to their own. A list of further reading at the end of each article directs the reader to the level of detail required for professional purposes. Articles are arranged alphabetically, each having been named to facilitate logical access by the reader. Each article is flagged as to which area of spectroscopy it covers ("Mass Spectroscopy," "Magnetic Resonance," etc.) and whether it covers theory, methods and instrumentation, or applications. Users can refer to an alphabetical article listing, or to a listing arranged according to subject area to locate articles. Further reading lists at the end of each article allow easy access to the primary literature. Extensive cross-referencing, a complete subject index, numerous figures, and color plates are included in each volume. Initial access to the online version offering extensive hypertext linking and advanced search tools is available to buyers of the print edition. Ongoing access is maintained for a minimum annual fee.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. John C. Lindon is a professor and senior research investigator in the Division of Computational and Systems Medicine, part of the Department of Surgery and Cancer, Imperial College London. He is also a founder, director of, and a consultant to Metabometrix Ltd, a company spun out of Imperial College to exploit the commercial possibilities of metabolic phenotyping. He is editor in chief of the Encyclopedia of Spectroscopy and Spectrometry and is on the editorial board of several journals. His major research interest is the use of NMR and other analytic methods coupled with multivariate statistics to study biofluids and tissues, a field now termed metabolic phenotyping.
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