Hierarchically Structured P-Doped MoS2/MoO2 Ultrathin Nanosheets on N-Doped Carbon Hemispheres for Sensitive Dopamine Detection

Dopamine (DA) is a key neurotransmitter in the central nervous system, and abnormal concentrations are associated with a variety of diseases. In this study, a novel electrochemical sensor is constructed based on ultrathin P-doped MoS2/MoO2 nanosheets supported on bowl-shaped N-doped carbon hemispher...

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Détails bibliographiques
Publié dans:Langmuir : the ACS journal of surfaces and colloids. - 1985. - 41(2025), 31 vom: 12. Aug., Seite 20723-20733
Auteur principal: Xu, Li (Auteur)
Autres auteurs: Hu, Pingyue, Tan, Liwen, Guo, Junchun, Li, Sheng, Xiong, Xiaoli
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:Langmuir : the ACS journal of surfaces and colloids
Sujets:Journal Article Molybdenum 81AH48963U Dopamine VTD58H1Z2X Disulfides molybdenum disulfide ZC8B4P503V Carbon 7440-44-0 plus... Oxides molybdenum dioxide
Description
Résumé:Dopamine (DA) is a key neurotransmitter in the central nervous system, and abnormal concentrations are associated with a variety of diseases. In this study, a novel electrochemical sensor is constructed based on ultrathin P-doped MoS2/MoO2 nanosheets supported on bowl-shaped N-doped carbon hemispheres (N-BCHP-MoS2/MoO2). The unique hierarchical structure combines the high specific surface area of N-BCH with the enhanced electrocatalytic activity of P-doped MoS2/MoO2, resulting in significant improvements in the performance for DA detection. The electronic structure of the catalyst is further modulated by the codoping of N and P, which increases the electrical conductivity and the number of active centers. The results show that the N-BCH@P-MoS2/MoO2 exhibits excellent sensitivity and selectivity for DA detection, capable of achieving a detection limit as low as 0.12 μM within a broad concentration range (3-100 μM) (S/N = 3). Furthermore, electrocatalysts have been employed in the detection of DA in human serum, indicating significant promise for clinical diagnosis
Description:Date Completed 12.08.2025
Date Revised 12.08.2025
published: Print-Electronic
Citation Status MEDLINE
ISSN:1520-5827
DOI:10.1021/acs.langmuir.5c02156