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Derivation of predicted no effect concentrations (PNEC) for 2,4,6-trichlorophenol based on Chinese resident species

  • Xiaowei Jin
  • , Jinmiao Zha
  • , Yiping Xu
  • , John P. Giesy
  • , Kristine L. Richardson
  • , Zijian Wang*
  • *Corresponding author for this work

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Abstract

    2,4,6-Trichlorophenol (2,4,6-TCP) is a common chemical intermediate and a by-product of water chlorination and combustion processes, and is a priority pollutant of the aquatic environment in many countries. Although information on the toxicity of 2,4,6-TCP is available, there is a lack of information on the predicted no-effect concentration (PNEC) of 2,4,6-TCP, mainly due to the shortage of chronic and site-specific toxicity data. In the present study, acute and sub-chronic toxicity of 2,4,6-TCP on six different resident Chinese aquatic species were determined. PNEC values were calculated and compared by use of two approaches: assessment factor (AF) and species sensitivity distribution (SSD). Values for acute toxicity ranged from 1.1 mg L-1 (Plagiognathops microlepis) to 42 mg L-1 (Corbicula fluminea) and the sub-chronic no observed effect concentrations (NOECs) ranged from 0.05 mg L-1 (Mylopharyngodon piceus) to 2.0 mg L-1 (C. fluminea). PNECs obtained by the assessment factor approach with acute (AF=1000, 0.001 mg L-1) or chronic (AF=10, 0.005 mg L-1) toxicity data were one order of magnitude less than those from SSD methods (0.057 mg L-1). PNEC values calculated using SSD methods with a 50% certainty for 2,4,6-TCP was less than those obtained by use of the USEPA recommend final chronic value (FCV) method (0.097 mg L-1) and the one obtained by use of the USEPA recommend acute-to-chronic (ACR) methods (0.073 mg L-1). PNECs derived using AF methods were more protective and conservative than that derived using SSD methods. © 2011 Elsevier Ltd.
    Original languageEnglish
    Pages (from-to)17-23
    JournalChemosphere
    Volume86
    Issue number1
    DOIs
    Publication statusPublished - Jan 2012

    Research Keywords

    • Assessment factor, probabilistic
    • Chinese resident species
    • Chronic toxicity
    • Species sensitivity distribution
    • Water quality criteria

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