4.6 Article

Selective Functionalization Blended with Scaffold Conductivity in Graphene Acid Promotes H2O2 Electrochemical Sensing

期刊

ACS OMEGA
卷 4, 期 22, 页码 19944-19952

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsomega.9b02881

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资金

  1. University of Trieste (program FRA 2018 -project INSIDE)
  2. Italian Ministry for University and Research (MIUR program FFARB 2017)
  3. INSTM consortium
  4. Ministry of Education, Youth and Sports of the Czech Republic [CZ.1.05/2.1.00/19.0377, CZ.02.1.01/0.0/0.0/16_019/0000754]
  5. Czech Science Foundation (project GA CR -EXPRO) [19-27454X]
  6. ERC (European Union) [683024]
  7. European Research Council (ERC) [683024] Funding Source: European Research Council (ERC)

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The widespread industrial use of H2O2 has provoked great interest in the development of new and more efficient materials for its detection. Enzymatic electrochemical sensors have drawn particular attention, primarily because of their excellent selectivity. However, their high cost, instability, complex immobilization, and inherent tendency toward denaturation of the enzyme significantly limit their practical usefulness. Inspired by the powerful proton-catalyzed H2O2 reduction mechanism of peroxidases, we have developed a well-defined and densely functionalized carboxylic graphene derivative (graphene acid, GA) that serves as a proton source and conductive electrode for binding and detecting H2O2. An unprecedented H2O2 sensitivity of 525 mu A cm(-2) mM(-1) is achieved by optimizing the balance between the carboxyl group content and scaffold conductivity of GA. Importantly, the GA sensor greatly outperforms all reported carbon-based H2O2 sensors and is superior to enzymatic ones because of its simple immobilization, low cost, and uncompromised sensitivity even after continuous operation for 7 days. In addition, GA-based sensing electrodes remain highly selective in the presence of interferents such as ascorbic acid, paracetamol, and glucose, as well as complex matrices such as milk. GA-based sensors thus have considerable potential for use in practical industrial sensing technologies.

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