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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2016-11, Vol.16 (11), p.1878
Main Authors: Baloach, Qurrat-Ul-Ain, Tahira, Aneela, Mallah, Arfana Begum, Abro, Muhammad Ishaq, Uddin, Siraj, Willander, Magnus, Ibupoto, Zafar Hussain
Format: Article
Language:English
Subjects:
Biosensing Techniques - methods
Commercialization
Copper - chemistry
Copper oxides
CuO nanostructures
electrochemical techniques
Enzymes
Glucose
Glucose - analysis
Glucose - chemistry
glucose sensor
Lysine
Microscopy, Electron, Scanning
Morphology
Nanomaterials
Nanostructures - chemistry
Nanostructures - ultrastructure
Organic chemistry
Oxidation
Scanning electron microscopy
Sensors
Stability
X-Ray Diffraction
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s16111878