4.8 Article

Shape-controlled ceria-reduced graphene oxide nanocomposites toward high-sensitive in situ detection of nitric oxide

Journal

BIOSENSORS & BIOELECTRONICS
Volume 70, Issue -, Pages 310-317

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2015.03.056

Keywords

Ceria-reduced graphene oxide nanocomposites; Nitric oxide; Real-time living cell detection; Electrochemical sensor

Funding

  1. 973 program of China [2013CB127804]
  2. National Natural Science Foundation of China, China [21205098, 21273173]
  3. Fundamental Research Funds for the Central Universities [XDJK2012C049]
  4. Chongqing Key Laboratory for Advanced Materials and Technologies of Clean Energies
  5. Southwest University [SWU111071]
  6. Chongqing Engineering Research Center for Rapid Diagnosis of Dread Disease and Chongqing Development
  7. Reform Commission

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Nitric oxide (NO) is an important signal molecule released by most cancer cells under drug stimulation or/and disease development but it is extremely challenging to in situ while real-time sensitively detect NO due to its large diffusivity, low concentration and fast decay. Herein, shape-controlled reduced graphene oxide nanocomposing with ceria (rGO-CeO2) was synthesized via hydrothermal reaction to construct a highly sensitive real-time sensing platform for NO detection. The crystal shape of CeO2 nanoparticles in rGO-CeO2 composites significantly affects the sensing performance of rGO-CeO2, of which the regular hexagonal nanocrystal CeO2 achieves the highest sensitivity (1676.06 mA cm(-2) M-1), a wide dynamic range (18.0 nM to 5.6 mu M) and a low detection limit (9.6 nM). This attributes to a synergical effect from high catalytic activity of the specifically shaped CeO2 nanocrystal and good conductivity/high surface area of rGO. This work demonstrates a way by rationally compose individual merit components while well control the nanostructure for a superior synergistic effect to build a smart sensing platform, while offering a great application potential to sensitively real-time detect NO released from living cells for diagnosis or/and studies of complicated biological processes. (C) 2015 Elsevier B.V. All rights reserved.

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