Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy

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

doi:10.34133/bmef.0027

Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy

BME Front. 2023 Sep 19:4:0027. doi: 10.34133/bmef.0027. eCollection 2023.

Authors

Anran Zheng^{1

2}, Chao Li^{1

3}, Shengkai Xu⁴, Zhen Guo^{1

2

3}, Chuanyu Li^{1

2

5}, Changsong Zhang⁴, Jia Yao^{1

2}, Zhiqi Zhang^{1

2}, Jinze Li^{1

2

5}, Lutao Du⁶, Shasha Zhao², Chuanxin Wang^{6

6}, Wei Zhang^{1

2

3

6}, Lianqun Zhou^{1

2

5

3

6}

Affiliations

¹ CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
² School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
³ Ji Hua Laboratory, Foshan 528000, China.
⁴ Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou 215153, Jiangsu Province, China.
⁵ Suzhou CASENS Co. Ltd., Suzhou 215163, China.
⁶ Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan 250033, Shandong, China.

Abstract

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.