4.7 Article

Porous Co3O4 nanodisks as robust peroxidase mimetics in an ultrasensitive colorimetric sensor for the rapid detection of multiple heavy metal residues in environmental water samples

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 417, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhazmat.2021.125994

关键词

Nanozyme; Porous material; Metal oxide; Inhibition; Visual detection

资金

  1. National Natural Science Foundation of China [31760486, 21565009]
  2. Guizhou Provincial Science and Technology Foundation [037]
  3. Science and Technology Support Program of Guizhou Province for Social Development [[2018]2795]
  4. Science and Technology Program of Guizhou Province for Talent Team Building [[2018]5781, [2017] 5788]
  5. Science and Technology Platform and Talent Team Project of Guizhou Province [[2018]5251]
  6. Talent Base of Fermentation Engineering and Liquor Making in Guizhou Province [[2018]3]
  7. Guizhou Province Graduate Research Fund [YJSCXJH[2020]070]

向作者/读者索取更多资源

A porous Co3O4 nanodisks with robust peroxidase-mimicking activity was prepared for ultrasensitive and rapid detection of multiple heavy metals in environmental water. The heavy metals inhibit the catalytic activity of the sensor, with an average recovery range of up to 98.3% in actual water samples.
The current method for rapid and ultrasensitive detection of multiple heavy metals in environmental water still face challenge. Herein, the porous Co3O4 nanodisks with robust peroxidase-mimicking activity were prepared, and its catalytic activity can be significantly inhibited by the heavy metals like Cd(II), Hg(II), Pb(II) and As, which makes us to establish an ultrasensitive and rapid colorimetric sensor for the detection of multiple heavy metals. Further investigation reveals the anticompetitive inhibition effect of heavy metals on peroxidasemimicking activity. The colorimetric sensor displays excellent sensitivity and selectivity, and the limits of detection (LOD) for Cd(II), Hg(II), Pb(II) and As are 0.085 mu g center dot L-1, 0.19 mu g center dot L-1, 0.2 mu g center dot L-1 and 0.156 mu g center dot L-1, respectively. Notably, the absorbance variation will be greater than 0.5 as the concentration of heavy metals exceeds 5 mu g center dot L-1, which can be clearly discriminated by the naked eyes. Moreover, the average recovery range of heavy metals in actual water samples is from 86.9% to 98.3%. The above results indicate that the proposed sensor exhibits excellent practical applicability for the rapid and ultrasensitive detection of multiple harmful heavy metals in several environmental water samples, which has potential bright application in protecting the environment and human health.

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