4.8 Article

One-pot hydrothermal route to fabricate nitrogen doped graphene/Ag-TiO2: Efficient charge separation, and high-performance on-off-on switch system based photoelectrochemical biosensing

Journal

BIOSENSORS & BIOELECTRONICS
Volume 83, Issue -, Pages 149-155

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.04.042

Keywords

Photoelectrochemical biosensing; Efficient charge separation; Nitrogen doped graphene; TiO2 nanocrystal; Ag nanoparticle; On-off-on

Funding

  1. National Natural Science Foundation of China [21175061, 21375050, 21405063, 21505055]
  2. Natural Science Foundation of Jiangsu Province [BK20150486]
  3. Key Laboratory of Modern Agriculture Equipment and Technology [NZ201109]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions [PAPD-2014-37]
  5. Qing Lan Project

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Charge separation is crucial for increasing the performances of semiconductor-based materials in many photoactive applications. In this paper, we designed novel nanocomposites consisting of TiO2 nano crystals, Ag nanoparticles (NPs) and nitrogen doped graphene (NGR) via a facile one-pot hydrothermal route. The as-prepared ternary nanocomposites exhibited enhanced photoelectrochemical (PEC) performances owing to the introduction of Ag NPs and NGR, which increase the excitons' lifetime and improve the charge transfer. In particular, it is shown by means of the transient-state surface photo current responses that the photocurrent intensity of the as-fabricated composites exhibited 18.2 times higher than that of pristine TiO2. Based on the robust photocurrent signal, a new kind of on-off-on PEC aptasensor was established with the assistance of Pb2+ aptamer, which integrates the advantages of low background signal and high sensitivity. Under optimal conditions, a wide linear response for Pb2+ detection was obtained from 1 pM to 5 nM as well as a detection limit down to 0.3 pM. With its simplicity, selectivity, and sensitivity, this proposed strategy shows great promise for Pb2+ detection in food and environment analysis. (C) 2016 Elsevier B.V. All rights reserved.

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