Molecular Alternatives to Indicator and Pathogen Detection | Real-Time PCR

Weiping Chu (u. a.)

ISBN 10: 1843397358 / ISBN 13: 9781843397359

Published by Werf, 2006

About this Item

Molecular Alternatives to Indicator and Pathogen Detection | Real-Time PCR | Weiping Chu (u. a.) | Taschenbuch | Werf Report S | Kartoniert / Broschiert | Englisch | 2006 | Werf | EAN 9781843397359 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 135425661

Bibliographic Details

• Title: Molecular Alternatives to Indicator and Pathogen Detection | Real-Time PCR
• Publisher: Werf
• Publication Date: 2006
• Language: English
• ISBN 10: 1843397358
• ISBN 13: 9781843397359
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 279W x 210H x 6D millimeters 279 millimeters width by 210 millimeters height by 6 millimeters depth
• Weight: 281 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Microbial quality of water is a prime public health concern in today's world. To protect public health, the World Health Organization and the U.S. Environmental Protection Agency have established microbial pollution indicator standards and recommended routine monitoring of water for both total and fecal coliforms. However, the adequacy of current water quality standards to indicate the presence or absence of human pathogens is still questionable. For example, human viruses are more resistant to sewage treatment processes and environmental conditions than bacterial indicators and therefore may pose a substantial threat. It is now recognized that the absence, or a low concentration, of indicator organisms in water may not adequately reflect the absence of human viruses. In our previous study of southern California coastal waters, we found over 30% of coastal waters tested contained human viruses, and the presence of these viruses did not correlate with an elevated level of bacterial indicators (Jiang et al. 2000). The goal of this research is to develop and validate a molecular method for rapid and specific detection of microbial contaminants including human viruses and bacterial indicators in treated sewage effluents and receiving waters.