Next Article in Journal
Laboratory Performance of Five Selected Soil Moisture Sensors Applying Factory and Own Calibration Equations for Two Soil Media of Different Bulk Density and Salinity Levels
Next Article in Special Issue
Remote Blood Glucose Monitoring in mHealth Scenarios: A Review
Previous Article in Journal
Interference-Robust Transmission in Wireless Sensor Networks
Previous Article in Special Issue
Conducting Polymers and Their Applications in Diabetes Management
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(11), 1878; doi:10.3390/s16111878

A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures

1
Kazi Institute of Chemistry, University of Sindh, Jamshoro 76080, Pakistan
2
Department of Metallurgy and Material Science, Mehran University of Engineering and Technology, Jamshoro 76080, Pakistan
3
National Center of Excellence in Analytical Chemistry, University of Sindh, Jamshoro 76080, Pakistan
4
Department of Science and Technology, Campus Norrkoping, Linkoping University, Norrkoping SE-60174, Sweden
*
Authors to whom correspondence should be addressed.
Academic Editors: Giovanni Sparacino, Andrea Facchinetti and J. Hans DeVries
Received: 21 August 2016 / Revised: 1 November 2016 / Accepted: 4 November 2016 / Published: 14 November 2016
(This article belongs to the Special Issue Glucose Sensors: Revolution in Diabetes Management 2016)
View Full-Text   |   Download PDF [3181 KB, uploaded 14 November 2016]   |  

Abstract

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. View Full-Text
Keywords: CuO nanostructures; lysine; glucose sensor; electrochemical techniques CuO nanostructures; lysine; glucose sensor; electrochemical techniques
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Baloach, Q.-U.-A.; Tahira, A.; Mallah, A.B.; Abro, M.I.; Uddin, S.; Willander, M.; Ibupoto, Z.H. A Robust, Enzyme-Free Glucose Sensor Based on Lysine-Assisted CuO Nanostructures. Sensors 2016, 16, 1878.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top