Identification of toxicity variations in a stream affected by industrial effluents using Daphnia magna and Ulva pertusa

Jisu Yoo, Byeongyong Ahn, Jeong Ju Oh, Taejun Han, Woo Keun Kim, Sanghoon Kim, Jinho Jung

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

A comprehensive toxicity monitoring study from August to October 2011 using Daphnia magna and Ulva pertusa was conducted to identify the cause of toxicity in a stream receiving industrial effluents (IEs) from a textile and leather products manufacturing complex. Acute toxicity toward both species was observed consistently in IE, which influenced toxicity of downstream (DS) water. A toxicity identification evaluation (TIE) confirmed that both Cu and Zn were key toxicants in the IE, and that the calculated toxicity based on Cu and Zn concentrations well simulated the variation in the observed toxicity (r2=0.9216 and 0.7256 for D. magna and U. pertusa, respectively). In particular, U. pertusa was sensitive enough to detect acute toxicity in DS and was useful to identify Zn as a key toxicant. Activities of catalase, superoxide dismutase, glutathione peroxidase, glutathione S-transferase, and malondialdehyde were induced significantly in D. magna, although acute toxicity was not observed. In addition, higher levels of antioxidant enzymes were expressed in DS than upstream waters, likely due to the Cu and Zn from IE. Overall, TIE procedures with a battery of bioassays were effective for identifying the cause of lethal and sub-lethal toxicity in effluent and stream water.

Original languageEnglish
Pages (from-to)1042-1049
Number of pages8
JournalJournal of hazardous materials
Volume260
DOIs
Publication statusPublished - 2013 Sep 15

Keywords

  • Acute toxicity
  • Heavy metal
  • Oxidative stress
  • TIE
  • WET
  • Wastewater

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

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