Biology Reference
In-Depth Information
Although humans have been protected from consuming infectious par-
ticles from water bodies through water treatment and fecal source tracking
using indicator organism, the paradigm has shifted to being able to directly
detect the pathogen. With biosensors, microfluidic processing, and nano-
technology advancing in leaps and bounds, it is reasonable to assume that
this vision is not too far in the future.
REFERENCES
1 .
Health Canada.
Guidelines for Canadian drinking water quality: technical guideline document -
2 .
Health Canada.
Guidelines for Canadian drinking water quality: technical guideline document -
3 .
Field KG, Samadpour M. Fecal source tracking, the indicator paradigm, and managing
4 .
Girones R, Ferrús MA, Alonso JL, Rodriguez-Manzano J, Calgua B, de Abreu Corrêa
5. USEPA.
Office of ground water and drinking water, standards and risk management Division
.
Washington, DC 20004; 2006.
6 .
ASTM, ASTM D5916 - 96
Standard test method for detection and enumeration of Clostrid-
7 .
Lemarchand K, Lebaron P. Occurrence of
Salmonella
spp. and
Cryptosporidium
spp. in a
8 .
Ahmed W, Huygens F, Goonetilleke A, Gardner T. Real-time PCR detection of
9 .
Ahmed W, Sawant S, Huygens F, Goonetilleke A, Gardner T. Prevalence and occur-
10.
Wilkes G, Edge T, Gannon V, Jokinen C, Lyautey E, Medeiros D, et al. Seasonal rela-
11.
Aw TG, Rose JB. Detection of pathogens in water: from phylochips to qPCR to pyro-
12.
Straub TM, Chandler DP. Towards a unified system for detecting waterborne patho-
13.
Allen MJ, Clancy JL, Rice EW. The plain, hard truth about pathogen monitoring.
14.
Wong K, Fong TT, Bibby K, Molina M. Application of enteric viruses for fecal pollu-
15.
Jofre J, Blanch AR. Feasibility of methods based on nucleic acid amplification tech-
16.
Slabbinck B, De Baets B, Dawyndt P, De Vos P. Towards large-scale FAME-based
bacterial species identification using machine learning techniques.
Systematic and
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