Chapter title |
CRENAME, A Molecular Microbiology Method Enabling Multiparametric Assessment of Potable/Drinking Water
|
---|---|
Chapter number | 9 |
Book title |
PCR
|
Published in |
Methods in molecular biology, May 2017
|
DOI | 10.1007/978-1-4939-7060-5_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7059-9, 978-1-4939-7060-5
|
Authors |
Luc Bissonnette, Andrée F. Maheux, Michel G. Bergeron, Bissonnette, Luc, Maheux, Andrée F., Bergeron, Michel G. |
Editors |
Lucília Domingues |
Abstract |
The microbial assessment of potable/drinking water is done to ensure that the resource is free of fecal contamination indicators or waterborne pathogens. Culture-based methods for verifying the microbial safety are limited in the sense that a standard volume of water is generally tested for only one indicator (family) or pathogen.In this work, we describe a membrane filtration-based molecular microbiology method, CRENAME (Concentration Recovery Extraction of Nucleic Acids and Molecular Enrichment), exploiting molecular enrichment by whole genome amplification (WGA) to yield, in less than 4 h, a nucleic acid preparation which can be repetitively tested by real-time PCR for example, to provide multiparametric presence/absence tests (1 colony forming unit or microbial particle per standard volume of 100-1000 mL) for bacterial or protozoan parasite cells or particles susceptible to contaminate potable/drinking water. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 14% |
Student > Master | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 1 | 7% |
Other | 2 | 14% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 21% |
Engineering | 2 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 3 | 21% |
Unknown | 3 | 21% |