Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy

Autor: Anran Zheng, Chao Li, Shengkai Xu, Zhen Guo, Chuanyu Li, Changsong Zhang, Jia Yao, Zhiqi Zhang, Jinze Li, Lutao Du, Shasha Zhao, Chuanxin Wang, Wei Zhang, Lianqun Zhou
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BME Frontiers, Vol 4 (2023)
Druh dokumentu: article
ISSN: 2765-8031
DOI: 10.34133/bmef.0027
Popis: Objective and Impact Statement: We describe an electroenzymatic mediator (EM) sensor based on an electroenzymatic assembly peak separation strategy, which can efficiently realize the simultaneous detection of 3 typical cardiovascular disease (CVD) metabolites in 5 μl of plasma under one test. This work has substantial implications toward improving the efficiency of chronic CVD assessment. Introduction: Monitoring CVD of metabolites is strongly associated with disease risk. Independent and time-consuming detection in hospitals is unfavorable for chronic CVD management. Methods: The EM was flexibly designed by the cross-linking of electron mediators and enzymes, and 3 EM layers with different characteristics were assembled on one electrode. Electrons were transferred under tunable potential; 3 metabolites were quantitatively detected by 3 peak currents that correlated with metabolite concentrations. Results: In this study, the EM sensor showed high sensitivity for the simultaneous detection of 3 metabolites with a lower limit of 0.01 mM. The linear correlation between the sensor and clinical was greater than 0.980 for 242 patients, and the consistency of risk assessment was 94.6%. Conclusion: Metabolites could be expanded by the EM, and the sensor could be a promising candidate as a home healthcare tool for CVD risk assessment.
Databáze: Directory of Open Access Journals