Encyclopedia of Spectroscopy and Spectrometry - Hardcover

 
9780123744173: Encyclopedia of Spectroscopy and Spectrometry

Synopsis

The Second Edition of the Encyclopedia of Spectroscopy and Spectrometry pulls key information into a single source for quick access to answers and/or in-depth examination of topics. "SPEC-2" covers theory, methods, and applications for researchers, students, and professionals―combining proven techniques and new insights for comprehensive coverage of the field. The content is available in print and online via ScienceDirect, the latter of which offers optimal flexibility, accessibility, and usability through anytime, anywhere access for multiple users and superior search functionality.

No other work gives analytical and physical (bio)chemists such unprecedented access to the literature. With 30% new content, SPEC-2 maintains the "authoritative, balanced coverage" of the original work while also breaking new ground in spectroscopic research.

  • Incorporates more than 150 color figures, 5,000 references, and 300 articles (30% of which are new), for a thorough examination of the field
  • Highlights new research and promotes innovation in applied areas ranging from food science and forensics to biomedicine and health
  • Features a new co-editor: David Koppenaal of Pacific Northwest National Laboratory, Washington, USA, whose work in atomic mass spectrometry has been recognized internationally

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About the Author

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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