Literature DB >> 24462929

Toxicity assessment of chlorinated wastewater effluents by using transcriptome-based bioassays and Fourier transform mass spectrometry (FT-MS) analysis.

Toshikazu Fukushima1, Hiroe Hara-Yamamura1, Makoto Urai2, Ikuro Kasuga2, Futoshi Kurisu2, Taro Miyoshi3, Katsuki Kimura1, Yoshimasa Watanabe3, Satoshi Okabe4.   

Abstract

Effects of chlorination on the toxicity of wastewater effluents treated by activated sludge (AS) and submerged membrane bioreactor (S-MBRB) systems to HepG2 human hepatoblastoma cells were investigated. In addition to the cytotoxicity and genotoxicity assays, the DNA microarray-based transcriptome analysis was performed to evaluate the change in types of biological impacts on HepG2 cells of the effluents by chlorination. Effluent organic matter (EfOM) and disinfection by-products (DBPs) were also characterized by using Fourier transform mass spectrometry (FT-MS). Although no significant induction of genotoxicity was observed by chlorination for both effluents, the chlorination elevated the cytotoxicity of AS effluent but reduced that of S-MBRB effluent. The FT-MS analyses revealed that more DBPs including nitrogenated DBPs (N-DBPs) were formed in the AS effluent than in the S-MBRB effluent by chlorination, supporting the increased cytotoxicity of AS effluent. The lower O/C ratio of S-MBRB EfOM suggests that a large number of organic molecules were detoxified by chlorination, which consequently decreased the cytotoxicity of S-MBRB effluent. Integration of all the results highlights that both cytotoxicity and biological impacts of chlorinated wastewater effluents were clearly dependent on the EfOM characteristics such as DBPs and O/C ratio, namely, on types of treatment systems.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Keywords:  Chlorination; Cytotoxicity; DBPs; DNA microarray; Fourier transform mass spectrometry; Wastewater effluents

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Year:  2014        PMID: 24462929     DOI: 10.1016/j.watres.2014.01.006

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  1 in total

1.  Identification of RNA biomarkers for chemical safety screening in mouse embryonic stem cells using RNA deep sequencing analysis.

Authors:  Hidenori Tani; Jun-Ichi Takeshita; Hiroshi Aoki; Kaoru Nakamura; Ryosuke Abe; Akinobu Toyoda; Yasunori Endo; Sadaaki Miyamoto; Masashi Gamo; Hiroaki Sato; Masaki Torimura
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

  1 in total

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