BME Frontiers (Jan 2023)

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
https://doi.org/10.34133/bmef.0027
Journal volume & issue
Vol. 4

Abstract

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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.