4.7 Article

A miniaturized electrochemical toxicity biosensor based on graphene oxide quantum dots/carboxylated carbon nanotubes for assessment of priority pollutants

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 324, 期 -, 页码 272-280

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhazmat.2016.10.057

关键词

Priority pollutants; Cell sensor; Toxicity; Graphene oxide quantum dots; Carbon nanotubes

资金

  1. National Major Scientific and Technological Special Project of China [2014ZX07201-011-008]
  2. National Natural Science Foundation of China [51178092, 51478097, 51238001]
  3. Fundamental Research Funds for the Central Universities of China [14ZZ1517]
  4. State Scholarship Fund of China Scholarship Council

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The study presented a sensitive and miniaturized cell-based electrochemical biosensor to assess the toxicity of priority pollutants in the aquatic environment. Human hepatoma (HepG2) cells were used as the biological recognition agent to measure the changes of electrochemical signals and reflect the cell viability. The graphene oxide quantum dots/carboxylated carbon nanotubes hybrid was developed in a facile and green way. Based on the hybrid composite modified pencil graphite electrode, the cell culture and detection vessel was miniaturized to a 96-well plate instead of the traditional culture dish. In addition, three sensitive electrochemical signals attributed to guanine/xanthine, adenine, and hypoxanthine were detected simultaneously. The biosensor was used to evaluate the toxicity of six priority pollutants, including Cd, Hg, Pb, 2,4-dinitrophenol, 2,4,6-trichlorophenol, and pentachlorophenol. The 24h IC50 values obtained by the electrochemical biosensor were lower than those of conventional MTT assay, suggesting the enhanced sensitivity of the electrochemical assay towards heavy metals and phenols. This platform enables the label-free and sensitive detection of cell physiological status with multi-parameters and constitutes a promising approach for toxicity detection of pollutants. It makes possible for automatical and high-throughput analysis on nucleotide catabolism, which may be critical for life science and toxicology. (C) 2016 Elsevier B.V. All rights reserved.

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