Microbial treatment of high-strength perchlorate wastewater

Seong Jin Nor, Sang Hyon Lee, Kyung Suk Cho, Daniel K. Cha, Kang In Lee, Hee Wook Ryu

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

To treat wastewater containing high concentrations of perchlorate, a perchlorate reducing-bacterial consortium was obtained by enrichment culture grown on high-strength perchlorate (1200mgL-1) feed medium, and was characterized in a sequence batch reactor (SBR) over a long-time operation. The consortium removed perchlorate in the SBR with high reduction rates (35-90mgL-1h-1) and stable removal efficiency over 200-day operations. The maximum specific perchlorate reduction rate (qmax), half saturation constant (Ks), and optimal pH range were 0.67mg-perchlorate mg-dry cell weight-1h-1, 193.8mg-perchlorateL-1, and pH 7-9, respectively. The perchlorate reduction yield was 0.48mol-perchloratemol-acetate-1. A clone library prepared using the amplicons of cld gene encoding chlorate dismutase showed that the dominant (per)chlorate reducing bacteria in the consortium were Dechlorosoma sp. (53%), Ideonella sp. (28%), and Dechloromonas sp. (19%).

Original languageEnglish
Pages (from-to)835-841
Number of pages7
JournalBioresource Technology
Volume102
Issue number2
DOIs
StatePublished - Jan 2011

Bibliographical note

Funding Information:
This research was supported by the Resource Recycling R&D Center, and the 21C Frontier R&D Program funded by the Ministry of Education, Science, and Technology (MEST) . Dr. Sang Hyon Lee was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (NRL program, R0A-2008-000-20044-0).

Keywords

  • Cld Gene
  • High-strength
  • Perchlorate
  • Perchlorate reducing bacteria
  • Sequence-batch reactor

Fingerprint

Dive into the research topics of 'Microbial treatment of high-strength perchlorate wastewater'. Together they form a unique fingerprint.

Cite this