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Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies

Authors :
Madhurantakam Sasya
K. S. Shalini Devi
Jayanth K. Babu
John Bosco Balaguru Rayappan
Uma Maheswari Krishnan
Source :
Sensors, Vol 20, Iss 1, p 103 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Metabolic syndrome is a condition that results from dysfunction of different metabolic pathways leading to increased risk of disorders such as hyperglycemia, atherosclerosis, cardiovascular diseases, cancer, neurodegenerative disorders etc. As this condition cannot be diagnosed based on a single marker, multiple markers need to be detected and quantified to assess the risk facing an individual of metabolic syndrome. In this context, chemical- and bio-sensors capable of detecting multiple analytes may provide an appropriate diagnostic strategy. Research in this field has resulted in the evolution of sensors from the first generation to a fourth generation of ‘smart’ sensors. A shift in the sensing paradigm involving the sensing element and transduction strategy has also resulted in remarkable advancements in biomedical diagnostics particularly in terms of higher sensitivity and selectivity towards analyte molecule and rapid response time. This review encapsulates the significant advancements reported so far in the field of sensors developed for biomarkers of metabolic syndrome.

Details

Language :
English
ISSN :
14248220
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.b5f69a042dc14534b541f85d0714435c
Document Type :
article
Full Text :
https://doi.org/10.3390/s20010103