• 文献标题:   SiC/Graphene Film by Laser CVD as an Implantable Sensor Material for Dopamine Detection
  • 文献类型:   Article
  • 作  者:   LI CC, CAI YL, HU JR, LIU JW, DAI HL, XU QF, ZHANG CTF, ZHANG X, LIU K, KOSINOVA ML, GOTO T, TU R, ZHANG S
  • 作者关键词:   sic, graphene film, lcvd, dopamine, electrochemical detection, biocompatibility
  • 出版物名称:   ACS APPLIED MATERIALS INTERFACES
  • ISSN:   1944-8244 EI 1944-8252
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1021/acsami.3c04628
  • 出版年:   2023

▎ 摘  要

Implantable electrochemical sensor holds great promisein the real-timemonitoring of dopamine (DA) to regulate body function. However, thereal application of these sensors is limited by the weak current signalof DA in the human body and the poor compatibility of the on-chipmicroelectronic devices. In this work, a SiC/graphene composite filmwas fabricated using laser chemical vapor deposition (LCVD) and employedas a DA sensor. The graphene in the porous nanoforest-like SiC frameworkoffered efficient channels for electronic transmission, leading toan enhanced electron transfer rate and consequently an increased currentresponse for DA detection. The three-dimensional (3D) porous networkalso facilitated the exposure of more catalytic active sites towardDA oxidation. Besides, the wide distribution of graphene in the nanoforest-likeSiC films reduced the interfacial resistance of the charge transfer.The SiC/graphene composite film exhibited excellent electrocatalyticactivity toward DA oxidation with a low detection limit of 0.11 mu Mand a high sensitivity of 0.86 mu A center dot mu M-1 center dot cm(-2). The film electrode also showed a widelinear response for DA in 0.5-78 mu M, along with goodselectivity, repeatability, and reproducibility. Furthermore, thecell counting kit-8 (CCK-8) and live-dead assays revealed thatthe film is also biocompatible for biomedical applications. Therefore,the nanoforest-like SiC/graphene composite film via the CVD process enables a promising candidate for an integratedminiature DA biosensor with high detection performance.