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Review

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

1
Department of Physics, University of Jammu, Jammu 180006, India
2
Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur 603203, India
3
Department of Mechanical System Engineering, Graduate School of Science and Engineering, Yamagata University, Yamagata 992-8510, Japan
*
Authors to whom correspondence should be addressed.
Received: 24 July 2021 / Revised: 25 August 2021 / Accepted: 31 August 2021 / Published: 14 September 2021
(This article belongs to the Special Issue Advance Nanomaterials for Biosensors)
The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook. View Full-Text
Keywords: biosensor; electrochemical; sensitivity; amperometric; voltammetric; food quality monitoring; machine learning biosensor; electrochemical; sensitivity; amperometric; voltammetric; food quality monitoring; machine learning
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MDPI and ACS Style

Singh, A.; Sharma, A.; Ahmed, A.; Sundramoorthy, A.K.; Furukawa, H.; Arya, S.; Khosla, A. Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope. Biosensors 2021, 11, 336. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090336

AMA Style

Singh A, Sharma A, Ahmed A, Sundramoorthy AK, Furukawa H, Arya S, Khosla A. Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope. Biosensors. 2021; 11(9):336. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090336

Chicago/Turabian Style

Singh, Anoop, Asha Sharma, Aamir Ahmed, Ashok K. Sundramoorthy, Hidemitsu Furukawa, Sandeep Arya, and Ajit Khosla. 2021. "Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope" Biosensors 11, no. 9: 336. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11090336

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