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Wu R, Yu S, Chen S, Dang Y, Wen SH, Tang J, Zhou Y, Zhu JJ. A carbon dots-enhanced laccase-based electrochemical sensor for highly sensitive detection of dopamine in human serum. Anal Chim Acta 2022; 1229:340365. [PMID: 36156223 DOI: 10.1016/j.aca.2022.340365] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/26/2022] [Accepted: 09/05/2022] [Indexed: 11/29/2022]
Abstract
Enzyme-based electrochemical sensor possesses a significant advantage in the highly efficient detection of small molecules, however, the poor electron transport efficiency limits their wide application. In this study, taking advantage of the distinct biocatalytic activity of laccase and the excellent electroconductibility of carbon dots, a carbon dots-enhanced laccase-based electrochemical sensor for the detection of dopamine (DA) is established. Thereinto, laccase can specifically recognize DA and promote its electrocatalytic oxidation on the electrode, while, the carbon dots can be used as the immobilization substrate of laccase and enhance its electron transfer efficiency, thus achieving the highly sensitive detection of dopamine. The electrochemical performance of the modified electrode interface is studied by electrochemical impedance spectroscopy and differential pulse voltammetry. As demonstrated, the electrocatalytic activity of the proposed electrochemical sensor for DA is significantly improved and exhibits a low detection limit (0.08 μM) and a wide linear range (0.25 μM-76.81 μM). The excellent selectivity allows the sensor has the capacity for specific discrimination the DA from other interferents. Furthermore, by analyzing the DA in human serum verifies the practicability of this assay in real sample analysis.
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Affiliation(s)
- Ru Wu
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Sha Yu
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Siyu Chen
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Yuan Dang
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Shao-Hua Wen
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Jieli Tang
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China
| | - Yuanzhen Zhou
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China.
| | - Jun-Jie Zhu
- School of Chemistry and Chemical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, PR China.
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