• 文献标题:   Enzyme like-colorimetric sensing of H2O2 based on intrinsic peroxidase mimic activity of WS2 nanosheets anchored reduced graphene oxide
  • 文献类型:   Article
  • 作  者:   KEERTHANA S, RAJAPRIYA A, VISWANATHAN C, PONPANDIAN N
  • 作者关键词:   ws2 nanosheet, rgo matrix, peroxidase mimic, colorimetric sensor, catalytic activity, practical application
  • 出版物名称:   JOURNAL OF ALLOYS COMPOUNDS
  • ISSN:   0925-8388 EI 1873-4669
  • 通讯作者地址:  
  • 被引频次:   16
  • DOI:   10.1016/j.jallcom.2021.161669 EA AUG 2021
  • 出版年:   2021

▎ 摘  要

With the rapid advance of peroxidase mimic sensing nanomaterials have been reasonably considered as the alternates for natural enzymes due to their higher stability and cost-effectiveness. Herein, we proposed the synthesis of WS2 Nanosheets anchored reduced graphene oxide (rGO) for the peroxidase sensing of H2O2. The well-dispersed WS2 nanosheets anchored on rGOwith huge porosity of 18 nm in diameter were synthesized by facile one-pot hydrothermal method. The prepared catalysts show thegreater catalytic activity towards the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB). The obtained Michaelis-Menton constant possessed the stronger affinity of H2O2 and TMB by the WS2/rGO. The outstanding catalytic performance of the WS2/rGO is due to their unique mesoporous structure with the higher specific surface area and the synergetic effect of the rGO matrix. This colorimetric detection exhibits a lower detection limit of about 82 nM with a wide linear range. Michaelis-Menton constant and the rate of reaction was found to be 10.001 M and 0.9332 x 10(-8) M s(-1) for H2O2 and 22.406 M and 0.9606 x 10(-8) M s(-1 )for TMB. Also, the WS2/rGO exhibits higher selectivity among various interfering compounds. It exhibits a higher recovery in practical application towards the human urine sample with the standard deviation of 2. Thus, this present study built a favourable strategy for the development of colorimetric sensors towards H2O2 and it demonstrating its potential applications in various clinical applications. (C) 2021 Elsevier B.V. All rights reserved.