Identifying Microbes by Mass Spectrometry Proteomics

Identifying Microbes by Mass Spectrometry Proteomics

by Charles H. Wick (Editor)


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This book presents an in-depth examination of the process of detecting and identifying microbes using mass spectrometry techniques and the possibility of using this technology in a field application. Through a side-by-side comparative discussion of the different mass spectrometry approaches, it demonstrates the strengths and weaknesses of each approach. The book includes recent findings that show the detection of new viruses, new bacteria, fungi, and other microbes in complex environmental samples. It describes sample preparation methods and discusses the rationale and methods for the detection and identification of unknown, genetically modified, or synthetic microbes.

Product Details

ISBN-13: 9781466504943
Publisher: Taylor & Francis
Publication date: 09/17/2013
Pages: 289
Product dimensions: 6.30(w) x 9.30(h) x 0.80(d)

About the Author

Dr. Charles H. Wick, Ph.D., is a retired senior scientist from the U.S. Army Edgewood Chemical Biological Center, where he has served both as a manager and research physical scientist and has made significant contributions to forensic science. Although his 40-year professional career has spanned both the public sector and the military, his better-known work in the area of forensic science has occurred in concert with the Department of Defense. Throughout his career, Dr. Wick has made lasting and important contributions to forensic science and to the field of antiterrorism. He holds several U.S. patents in the area of microbe detection and classification. He has written more than 45 civilian and military publications and has received myriad awards and citations.

Table of Contents

Introduction. Ionization Methods Used for Analysis of Microbial Constituents by MS. Mass Analyzers and MS/MS Methods Used For Microbial Detection and Identification. Collection and Processing of Microbial Samples for Mass Spectrometric Analysis. Chemometric and Bioinformatic Approaches for Data and Discrimination of Microbes. Characterization of Microorganisms by Matching Mass Spectral Profiles of Biomarkers. Classification and Identification of Bacteria Using Sequence. Survey of Commercially Available MS Based Platforms Potentially Suitable For Bacterial Detection and Identification. Current and Future Trends in Using MS for Microbial Detection and Identification.

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