The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.
Methodological approaches for studying the microbial ecology of drinking water distribution systems
Open accessAbstract
The study of the microbial ecology of drinking water distribution systems (DWDS) has traditionally been based on culturing organisms from bulk water samples. The development and application of molecular methods has supplied new tools for examining the microbial diversity and activity of environmental samples, yielding new insights into the microbial community and its diversity within these engineered ecosystems. In this review, the currently available methods and emerging approaches for characterising microbial communities, including both planktonic and biofilm ways of life, are critically evaluated. The study of biofilms is considered particularly important as it plays a critical role in the processes and interactions occurring at the pipe wall and bulk water interface. The advantages, limitations and usefulness of methods that can be used to detect and assess microbial abundance, community composition and function are discussed in a DWDS context. This review will assist hydraulic engineers and microbial ecologists in choosing the most appropriate tools to assess drinking water microbiology and related aspects.
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Metadata
- Authors
- Douterelo, I., Boxall, J. B., Deines, P., Sekar, R., Fish, K. E., & Biggs, C. A.
- Venue
- Water Research
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 65
- Pages
- 134-156
- ISSN
- 0043-1354 (ISSN-L)
- OpenAlex
- W2071956157
- Cited by
- 260
- References
- 174
- FWCI
- 12.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Douterelo, I., Boxall, J. B., Deines, P., Sekar, R., Fish, K. E., & Biggs, C. A. (2014). Methodological approaches for studying the microbial ecology of drinking water distribution systems. Water Research. https://doi.org/10.1016/j.watres.2014.07.008
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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