期刊
SENSORS
卷 17, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/s17040861
关键词
graphene oxide; porous structure; gold nanoparticles; indium tin oxide; neurotransmitters; dopamine; composites; electrochemical detection
资金
- Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Health Welfare [HI15C3051]
- National Research Foundation of Korea (NRF) [2016R1C1B1016088]
- Nano Material Technology Development Program through the National Research Foundation of Korea (NRF) - Korea Government (MSIP) [NRF-2014M3A7B4051907]
- National Research Foundation of Korea [2016R1C1B1016088, 22A20150013275, 2014M3A7B4051907] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The detection of dopamine in a highly sensitive and selective manner is crucial for the early diagnosis of a number of neurological diseases/disorders. Here, a report on a new platform for the electrochemical detection of dopamine with a considerable accuracy that comprises a 3D porous graphene oxide (pGO)/gold nanoparticle (GNP)/pGO composite-modified indium tin oxide (ITO) is presented. The pGO was first synthesized and purified by ultrasonication and centrifugation, and it was then further functionalized on the surface of a GNP-immobilized ITO electrode. Remarkably, owing to the synergistic effects of the pGO and GNPs, the 3D pGO-GNP-pGO-modified ITO electrode showed a superior dopamine-detection performance compared with the other pGO-or GNP-modified ITO electrodes. The linear range of the newly developed sensing platform is from 0.1 mu M to 30 mu M with a limit of detection (LOD) of 1.28 mu M, which is more precise than the other previously reported GO-functionalized electrodes. Moreover, the 3D pGO-GNP-pGO-modified ITO electrodes maintained their detection capability even in the presence of several interfering molecules (e.g., ascorbic acid, glucose). The proposed platform of the 3D pGO-GNP-pGO-modified ITO electrode could therefore serve as a competent candidate for the development of a dopamine-sensing platform that is potentially applicable for the early diagnosis of various neurological diseases/disorders.
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