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

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2019 Dec 28

PMID 31878023

Citations 6

Authors

Madhurantakam Sasya

K S Shalini Devi

Jayanth K Babu

John Bosco Balaguru Rayappan

Uma Maheswari Krishnan

Affiliations

Soon will be listed here.

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.

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