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

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 bio...

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Autores principales: Singh, Anoop, Sharma, Asha, Ahmed, Aamir, Sundramoorthy, Ashok K., Furukawa, Hidemitsu, Arya, Sandeep, Khosla, Ajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472208/
https://www.ncbi.nlm.nih.gov/pubmed/34562926
http://dx.doi.org/10.3390/bios11090336
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author Singh, Anoop
Sharma, Asha
Ahmed, Aamir
Sundramoorthy, Ashok K.
Furukawa, Hidemitsu
Arya, Sandeep
Khosla, Ajit
author_facet Singh, Anoop
Sharma, Asha
Ahmed, Aamir
Sundramoorthy, Ashok K.
Furukawa, Hidemitsu
Arya, Sandeep
Khosla, Ajit
author_sort Singh, Anoop
collection PubMed
description 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.
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spelling pubmed-84722082021-09-28 Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope Singh, Anoop Sharma, Asha Ahmed, Aamir Sundramoorthy, Ashok K. Furukawa, Hidemitsu Arya, Sandeep Khosla, Ajit Biosensors (Basel) Review 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. MDPI 2021-09-14 /pmc/articles/PMC8472208/ /pubmed/34562926 http://dx.doi.org/10.3390/bios11090336 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Singh, Anoop
Sharma, Asha
Ahmed, Aamir
Sundramoorthy, Ashok K.
Furukawa, Hidemitsu
Arya, Sandeep
Khosla, Ajit
Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title_full Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title_fullStr Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title_full_unstemmed Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title_short Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
title_sort recent advances in electrochemical biosensors: applications, challenges, and future scope
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472208/
https://www.ncbi.nlm.nih.gov/pubmed/34562926
http://dx.doi.org/10.3390/bios11090336
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