Electrochemical biosensors represent promising detection tools in medical field
In recent years, there has been a growing demand for rapid detection methods, leading to the proliferation of biosensors, particularly electrochemical biosensors, which have garnered substantial attention from researchers. The fusion of biosensors with advanced electrochemical sensing technology has...
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Published in | Advanced Sensor and Energy Materials Vol. 2; no. 4; p. 100081 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2023
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Subjects | |
Online Access | Get full text |
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Summary: | In recent years, there has been a growing demand for rapid detection methods, leading to the proliferation of biosensors, particularly electrochemical biosensors, which have garnered substantial attention from researchers. The fusion of biosensors with advanced electrochemical sensing technology has given rise to a diverse array of electrochemical biosensors characterized by their rapid detection capabilities and heightened sensitivity. Consequently, an imperative exists to comprehensively recapitulate recent advances in electrochemical biosensors, especially within the realm of clinical medicine. This review aims to elucidate the applications of electrochemical biosensors and delineate future development prospects, facilitating a more profound comprehension and further progression of this field. Specifically, we will examine the utilization of electrochemical biosensors in clinical medicine, encompassing their roles in point-of-care testing, disease diagnosis, and therapeutic monitoring. Moreover, we will spotlight emerging trends and prospective innovations, such as the evolution of nanostructured sensors and portable devices. By providing a comprehensive overview of the advances and potential applications of electrochemical biosensors in clinical medicine, this review will significantly contribute to the advancement of this field and serve as a catalyst for further research into innovative detection tools. |
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ISSN: | 2773-045X 2773-045X |
DOI: | 10.1016/j.asems.2023.100081 |