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A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures
The production of a nanomaterial with enhanced and desirable electrocatalytic properties is of prime importance, and the commercialization of devices containing these materials is a challenging task. In this study, unique cupric oxide (CuO) nanostructures were synthesized using lysine as a soft temp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134537/ https://www.ncbi.nlm.nih.gov/pubmed/27854253 http://dx.doi.org/10.3390/s16111878 |
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author | Baloach, Qurrat-ul-Ain Tahira, Aneela Mallah, Arfana Begum Abro, Muhammad Ishaq Uddin, Siraj Willander, Magnus Ibupoto, Zafar Hussain |
author_facet | Baloach, Qurrat-ul-Ain Tahira, Aneela Mallah, Arfana Begum Abro, Muhammad Ishaq Uddin, Siraj Willander, Magnus Ibupoto, Zafar Hussain |
author_sort | Baloach, Qurrat-ul-Ain |
collection | PubMed |
description | The production of a nanomaterial with enhanced and desirable electrocatalytic properties is of prime importance, and the commercialization of devices containing these materials is a challenging task. In this study, unique cupric oxide (CuO) nanostructures were synthesized using lysine as a soft template for the evolution of morphology via a rapid and boiled hydrothermal method. The morphology and structure of the synthesized CuO nanomaterial were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD), respectively. The prepared CuO nanostructures showed high potential for use in the electrocatalytic oxidation of glucose in an alkaline medium. The proposed enzyme-free glucose sensor demonstrated a robust response to glucose with a wide linear range and high sensitivity, selectivity, stability, and reproducibility. To explore its practical feasibility, the glucose content of serum samples was successfully determined using the enzyme-free sensor. An analytical recovery method was used to measure the actual glucose from the serum samples, and the results were satisfactory. Moreover, the presented glucose sensor has high chemical stability and can be reused for repetitive measurements. This study introduces an enzyme-free glucose sensor as an alternative tool for clinical glucose quantification. |
format | Online Article Text |
id | pubmed-5134537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51345372017-01-03 A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures Baloach, Qurrat-ul-Ain Tahira, Aneela Mallah, Arfana Begum Abro, Muhammad Ishaq Uddin, Siraj Willander, Magnus Ibupoto, Zafar Hussain Sensors (Basel) Article The production of a nanomaterial with enhanced and desirable electrocatalytic properties is of prime importance, and the commercialization of devices containing these materials is a challenging task. In this study, unique cupric oxide (CuO) nanostructures were synthesized using lysine as a soft template for the evolution of morphology via a rapid and boiled hydrothermal method. The morphology and structure of the synthesized CuO nanomaterial were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD), respectively. The prepared CuO nanostructures showed high potential for use in the electrocatalytic oxidation of glucose in an alkaline medium. The proposed enzyme-free glucose sensor demonstrated a robust response to glucose with a wide linear range and high sensitivity, selectivity, stability, and reproducibility. To explore its practical feasibility, the glucose content of serum samples was successfully determined using the enzyme-free sensor. An analytical recovery method was used to measure the actual glucose from the serum samples, and the results were satisfactory. Moreover, the presented glucose sensor has high chemical stability and can be reused for repetitive measurements. This study introduces an enzyme-free glucose sensor as an alternative tool for clinical glucose quantification. MDPI 2016-11-14 /pmc/articles/PMC5134537/ /pubmed/27854253 http://dx.doi.org/10.3390/s16111878 Text en © 2016 by the authors; 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Baloach, Qurrat-ul-Ain Tahira, Aneela Mallah, Arfana Begum Abro, Muhammad Ishaq Uddin, Siraj Willander, Magnus Ibupoto, Zafar Hussain A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title | A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title_full | A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title_fullStr | A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title_full_unstemmed | A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title_short | A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures |
title_sort | robust, enzyme-free glucose sensor based on lysine-assisted cuo nanostructures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134537/ https://www.ncbi.nlm.nih.gov/pubmed/27854253 http://dx.doi.org/10.3390/s16111878 |
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