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Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy

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 w...

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Detalles Bibliográficos
Autores principales: Zheng, Anran, Li, Chao, Xu, Shengkai, Guo, Zhen, Li, Chuanyu, Zhang, Changsong, Yao, Jia, Zhang, Zhiqi, Li, Jinze, Du, Lutao, Zhao, Shasha, Wang, Chuanxin, Zhang, Wei, Zhou, Lianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530654/
https://www.ncbi.nlm.nih.gov/pubmed/37849675
http://dx.doi.org/10.34133/bmef.0027
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author Zheng, Anran
Li, Chao
Xu, Shengkai
Guo, Zhen
Li, Chuanyu
Zhang, Changsong
Yao, Jia
Zhang, Zhiqi
Li, Jinze
Du, Lutao
Zhao, Shasha
Wang, Chuanxin
Zhang, Wei
Zhou, Lianqun
author_facet Zheng, Anran
Li, Chao
Xu, Shengkai
Guo, Zhen
Li, Chuanyu
Zhang, Changsong
Yao, Jia
Zhang, Zhiqi
Li, Jinze
Du, Lutao
Zhao, Shasha
Wang, Chuanxin
Zhang, Wei
Zhou, Lianqun
author_sort Zheng, Anran
collection PubMed
description 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.
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spelling pubmed-105306542023-10-17 Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy Zheng, Anran Li, Chao Xu, Shengkai Guo, Zhen Li, Chuanyu Zhang, Changsong Yao, Jia Zhang, Zhiqi Li, Jinze Du, Lutao Zhao, Shasha Wang, Chuanxin Zhang, Wei Zhou, Lianqun BME Front Research Article 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. AAAS 2023-09-19 /pmc/articles/PMC10530654/ /pubmed/37849675 http://dx.doi.org/10.34133/bmef.0027 Text en Copyright © 2023 Anran Zheng et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Suzhou Institute of Biomedical Engineering and Technology, CAS. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Zheng, Anran
Li, Chao
Xu, Shengkai
Guo, Zhen
Li, Chuanyu
Zhang, Changsong
Yao, Jia
Zhang, Zhiqi
Li, Jinze
Du, Lutao
Zhao, Shasha
Wang, Chuanxin
Zhang, Wei
Zhou, Lianqun
Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title_full Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title_fullStr Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title_full_unstemmed Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title_short Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy
title_sort efficient simultaneous detection of metabolites based on electroenzymatic assembly strategy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530654/
https://www.ncbi.nlm.nih.gov/pubmed/37849675
http://dx.doi.org/10.34133/bmef.0027
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