4.7 Article

A microfluidic flow-through chip integrated with reduced graphene oxide transistor for influenza virus gene detection

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 251, 期 -, 页码 927-933

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.05.147

关键词

Microfluidic device; Flow-through chip; Reduced graphene oxide (rGO); Transistor

资金

  1. National Natural Science Foundation of China [81471747]
  2. Hong Kong Research Council General Research Grant [PolyU 152213/15E]
  3. Central Research Grant of the Hong Kong Polytechnic University [G-YBAA]
  4. Internal Fund of the Hong Kong Polytechnic University [4-BCCC]

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Most of the current graphene transistor based deoxyribonucleic acid (DNA) sensors are based on dip and-dry methods The flow-through approach for graphene transistor based DNA sensors have not been explored yet. Moreover, the effect of probe immobilization strategies on the performance of a graphene transistor biosensor in flowing environment was rarely studied. In this paper, a microfluidic integrated reduced graphene oxide (rGO) transistor was developed for H5N1 influenza virus gene detection with high stability and sensitivity via a flow-through strategy. Different DNA probe immobilization approaches including extended long capture probe via Tr-Tr stacking, short capture probe via Tr-Tr stacking and covalent immobilization via linker were studied. Both fluorescence measurement and electrical detection were performed to evaluate the performance of rGO transistors in flowing environment for these probe immobilization strategies. The results showed that among these approaches, extended long capture probe could provide both high sensitivity and stability in flowing environment while short capture probe suffered by the low stability in flowing environment and covalent immobilization via linker had relatively low sensitivity. This microfluidic integrated rGO transistor with extended capture probe immobilization approach could provide a promising platform for nucleic acid detection with high sensitivity and stability for potential flow-through chip application. (C) 2017 Elsevier B.V. All rights reserved.

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