Cargando…

Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection

Glucose measurement is a fundamental tool in the daily care of Diabetes Mellitus (DM) patients and healthcare professionals. While there is an established market for glucose sensors, the rising number of DM cases has promoted intensive research to provide accurate systems for glucose monitoring. Pol...

Descripción completa

Detalles Bibliográficos
Autores principales: Osuna, Velia, Vega-Rios, Alejandro, Zaragoza-Contreras, Erasto Armando, Estrada-Moreno, Iván Alziri, Dominguez, Rocio B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946794/
https://www.ncbi.nlm.nih.gov/pubmed/35323407
http://dx.doi.org/10.3390/bios12030137
_version_ 1784674276097392640
author Osuna, Velia
Vega-Rios, Alejandro
Zaragoza-Contreras, Erasto Armando
Estrada-Moreno, Iván Alziri
Dominguez, Rocio B.
author_facet Osuna, Velia
Vega-Rios, Alejandro
Zaragoza-Contreras, Erasto Armando
Estrada-Moreno, Iván Alziri
Dominguez, Rocio B.
author_sort Osuna, Velia
collection PubMed
description Glucose measurement is a fundamental tool in the daily care of Diabetes Mellitus (DM) patients and healthcare professionals. While there is an established market for glucose sensors, the rising number of DM cases has promoted intensive research to provide accurate systems for glucose monitoring. Polyaniline (PAni) is a conductive polymer with a linear conjugated backbone with sequences of single C–C and double C=C bonds. This unique structure produces attractive features for the design of sensing systems such as conductivity, biocompatibility, environmental stability, tunable electrochemical properties, and antibacterial activity. PAni-based glucose sensors (PBGS) were actively developed in past years, using either enzymatic or non-enzymatic principles. In these devices, PAni played roles as a conductive material for electron transfer, biocompatible matrix for enzymatic immobilization, or sensitive layer for detection. In this review, we covered the development of PBGS from 2015 to the present, and it is not even exhaustive; it provides an overview of advances and achievements for enzymatic and non-enzymatic PBGB PBGS for self-monitoring and continuous blood glucose monitoring. Additionally, the limitations of PBGB PBGS to advance into robust and stable technology and the challenges associated with their implementation are presented and discussed.
format Online
Article
Text
id pubmed-8946794
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89467942022-03-25 Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection Osuna, Velia Vega-Rios, Alejandro Zaragoza-Contreras, Erasto Armando Estrada-Moreno, Iván Alziri Dominguez, Rocio B. Biosensors (Basel) Review Glucose measurement is a fundamental tool in the daily care of Diabetes Mellitus (DM) patients and healthcare professionals. While there is an established market for glucose sensors, the rising number of DM cases has promoted intensive research to provide accurate systems for glucose monitoring. Polyaniline (PAni) is a conductive polymer with a linear conjugated backbone with sequences of single C–C and double C=C bonds. This unique structure produces attractive features for the design of sensing systems such as conductivity, biocompatibility, environmental stability, tunable electrochemical properties, and antibacterial activity. PAni-based glucose sensors (PBGS) were actively developed in past years, using either enzymatic or non-enzymatic principles. In these devices, PAni played roles as a conductive material for electron transfer, biocompatible matrix for enzymatic immobilization, or sensitive layer for detection. In this review, we covered the development of PBGS from 2015 to the present, and it is not even exhaustive; it provides an overview of advances and achievements for enzymatic and non-enzymatic PBGB PBGS for self-monitoring and continuous blood glucose monitoring. Additionally, the limitations of PBGB PBGS to advance into robust and stable technology and the challenges associated with their implementation are presented and discussed. MDPI 2022-02-22 /pmc/articles/PMC8946794/ /pubmed/35323407 http://dx.doi.org/10.3390/bios12030137 Text en © 2022 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
Osuna, Velia
Vega-Rios, Alejandro
Zaragoza-Contreras, Erasto Armando
Estrada-Moreno, Iván Alziri
Dominguez, Rocio B.
Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title_full Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title_fullStr Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title_full_unstemmed Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title_short Progress of Polyaniline Glucose Sensors for Diabetes Mellitus Management Utilizing Enzymatic and Non-Enzymatic Detection
title_sort progress of polyaniline glucose sensors for diabetes mellitus management utilizing enzymatic and non-enzymatic detection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946794/
https://www.ncbi.nlm.nih.gov/pubmed/35323407
http://dx.doi.org/10.3390/bios12030137
work_keys_str_mv AT osunavelia progressofpolyanilineglucosesensorsfordiabetesmellitusmanagementutilizingenzymaticandnonenzymaticdetection
AT vegariosalejandro progressofpolyanilineglucosesensorsfordiabetesmellitusmanagementutilizingenzymaticandnonenzymaticdetection
AT zaragozacontreraserastoarmando progressofpolyanilineglucosesensorsfordiabetesmellitusmanagementutilizingenzymaticandnonenzymaticdetection
AT estradamorenoivanalziri progressofpolyanilineglucosesensorsfordiabetesmellitusmanagementutilizingenzymaticandnonenzymaticdetection
AT dominguezrociob progressofpolyanilineglucosesensorsfordiabetesmellitusmanagementutilizingenzymaticandnonenzymaticdetection