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Drinking Water Engineering and Science An interactive open-access journal
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Volume 2, issue 2
Drink. Water Eng. Sci., 2, 35–39, 2009
https://doi.org/10.5194/dwes-2-35-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
Drink. Water Eng. Sci., 2, 35–39, 2009
https://doi.org/10.5194/dwes-2-35-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Aug 2009

06 Aug 2009

Technical Note: Community of bacteria attached on the PVDF MF membrane surface fouled from drinking water treatment, in Seoul, Korea

K. Chon1, K. Chon1, J.-S. Chang2, H. Oh3, E. Lee3, and J. Cho1 K. Chon et al.
  • 1NOM Lab., Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 1 Oryong-dong, Buk-gu, Gwangju 500-712, Korea
  • 2Department of Biological and Chemical Engineering, Yianbian University of Science and Technology (YUST), ChaoYang Street, Yianji, Jilin Province, 133-000, China
  • 3Environmental Technology Research Team, DAEWOO E&C, 60 Songjuk-dong Jangan-gu Suwon city Gyeonggi-do, Korea

Abstract. Alpha, beta, and gamma proteobacteria comprise approximately 68, 16, and 7% of all identified bacteria. In this study, bacterial communities that had fouled polyvinylidene fluoride microfiltration membranes, which are used for drinking water treatment, over an 18 month period were analyzed using the 16s rRNA gene clone library method. The alpha, beta, and gamma proteobacteria were composed of mainly Bradyrhizobium and Rhodopseudomonas, Ralstonia, and Legionella, respectively. The presence of a relatively high amount of alpha proteobacteria was due to the oligotrophic condition of the drinking water source, the Han River, tested in this specific case study. The second most prominent bacteria community was the beta proteobacteria, which are typically found in a freshwater environment. This finding supports the notion that the drinking water source was relatively clean. Analyses of the organic foulants indicated that they were most likely from extra cellular polymers and/or cell fractured chemicals from bacteria or micro-organisms, as identified using organic characterizing tools, including 3-D fluorescence excitation-emission matrix and Fourier transform IR analyses.

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