4.8 Article

Rational Confinement of Yttrium Vanadate within Three-Dimensional Graphene Aerogel: Electrochemical Analysis of Monoamine Neurotransmitter (Dopamine)

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 13, Issue 9, Pages 10987-10995

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c22781

Keywords

binary metal oxide; carbonous material; electrocatalyst; electrochemical sensors; human health; biological sample

Funding

  1. Ministry of Science and Technology, Taiwan [MOST 107-2113-M-027-005-MY3]
  2. Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia [FP-79-42]

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The study introduces a novel electrochemical sensor YVO/GA for detecting dopamine, showing good detection performance and potential applicability in analyzing neurotransmitter levels. It has promising prospects in early diagnosis of dementia, psychiatric disorders, and neurodegenerative diseases.
Real-time monitoring of neurotransmitter levels is of tremendous technological demand, which requires more sensitive and selective sensors over a dynamic concentration range. As a use case, we report yttrium vanadate within three-dimensional graphene aerogel (YVO/GA) as a novel electrocatalyst for detecting dopamine (DA). This synergy effect endows YVO/GA nanocomposite with good electrochemical behaviors for DA detection compared to other electrodes. Benefiting from tailorable properties, it provides a large specific surface area, rapid electron transfer, more active sites, good catalytic activity, synergic effect, and high conductivity. The essential analytical parameters were estimated from the calibration plot, such as a limit of detection (1.5 nM) and sensitivity (7.1 mu A mu M-1 cm(-2)) with the YVO/GA sensor probe electrochemical approach. The calibration curve was fitted with the correlation coefficient of 0.994 in the DA concentration range from 0.009 to 83 mu M, which is denoted as the linear working range. We further demonstrate the proposed YVO/GA sensor's applicability to detect DA in human serum sample with an acceptable recovery range. Our results imply that the developed sensor could be applied to the early analysis of dementia, psychiatric, and neurodegenerative disorders.

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