» Articles » PMID: 32651423

Au Nanoparticles Modified CuO Nanowireelectrode Based Non-enzymatic Glucose Detection with Improved Linearity

Overview
Journal Sci Rep
Specialty Science
Date 2020 Jul 12
PMID 32651423
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

This paper explores gold nanoparticle (GNP) modified copper oxide nanowires(CuO NWs)based electrode grown on copper foil for non-enzymatic glucose detection in a wide linear ranging up to 31.06 mM, and 44.36 mM at 0.5 M NaOH and 1 M NaOH concentrations. The proposed electrode can be used to detect a very low glucose concentration of 0.3 µM with a high linearity range of 44.36mM and sensitivity of 1591.44 µA mM cm. The electrode is fabricated by first synthesizing Cu (OH) NWs on a copper foil by chemical etching method and then heat treatment is performed to convert Cu (OH) NWs into CuO NWs. The GNPs are deposited on CuO NWs to enhance the effective surface-to-volume ratio of the electrode with improved catalytic activity. The surface morphology has been investigated by XRD, XPS, FE-SEM and HR-TEM analysis. The proposed sensor is expected to detect low-level of glucose in urine, and saliva. At the same time, it can also be used to measure extremely high sugar levels (i.e. hyperglycemia) of ~ 806.5454 mg/dl. The proposed sensor is also capable of detecting glucose after multiple bending of the GNP modified CuO NWs electrode. The proposed device is also used to detect the blood sugar level in human being and it is found that this sensor's result is highly accurate and reliable.

Citing Articles

Unveiling the potential of alginate-based nanomaterials in sensing technology and smart delivery applications.

Uzokboev S, Akhmadbekov K, Nuritdinova R, Tawfik S, Lee Y Beilstein J Nanotechnol. 2024; 15:1077-1104.

PMID: 39188756 PMC: 11346306. DOI: 10.3762/bjnano.15.88.


Graphene Nanoribbon Field Effect Transistor Simulations for the Detection of Sugar Molecules: Semi-Empirical Modeling.

Wasfi A, Al Hamarna A, Al Shehhi O, Al Ameri H, Awwad F Sensors (Basel). 2023; 23(6).

PMID: 36991722 PMC: 10051405. DOI: 10.3390/s23063010.


Sugar Molecules Detection via CN Transistor-Based Sensor: First Principles Modeling.

Wasfi A, Awwad S, Hussein M, Awwad F Nanomaterials (Basel). 2023; 13(4).

PMID: 36839068 PMC: 9967288. DOI: 10.3390/nano13040700.


Reduced graphene oxide supported MXene based metal oxide ternary composite electrodes for non-enzymatic glucose sensor applications.

Gopal T, Alzahrani K, Assaifan A, Albrithen H, Alodhayb A, Muthuramamoorthy M Sci Rep. 2022; 12(1):20583.

PMID: 36446882 PMC: 9708649. DOI: 10.1038/s41598-022-24700-w.


Trending Technology of Glucose Monitoring during COVID-19 Pandemic: Challenges in Personalized Healthcare.

Phan L, Vo T, Hoang T, Selvam S, Pham H, Kim J Adv Mater Technol. 2021; 6(9):2100020.

PMID: 34179343 PMC: 8212092. DOI: 10.1002/admt.202100020.


References
1.
Zhu G, Xu H, Xiao Y, Liu Y, Yuan A, Shen X . Facile fabrication and enhanced sensing properties of hierarchically porous CuO architectures. ACS Appl Mater Interfaces. 2012; 4(2):744-51. DOI: 10.1021/am2013882. View

2.
Habrioux A, Sibert E, Servat K, Vogel W, Kokoh K, Alonso-Vante N . Activity of platinum-gold alloys for glucose electrooxidation in biofuel cells. J Phys Chem B. 2007; 111(34):10329-33. DOI: 10.1021/jp0720183. View

3.
Dung N, Patil D, Jung H, Kim D . A high-performance nonenzymatic glucose sensor made of CuO-SWCNT nanocomposites. Biosens Bioelectron. 2012; 42:280-6. DOI: 10.1016/j.bios.2012.10.044. View

4.
Liang B, Fang L, Yang G, Hu Y, Guo X, Ye X . Direct electron transfer glucose biosensor based on glucose oxidase self-assembled on electrochemically reduced carboxyl graphene. Biosens Bioelectron. 2013; 43:131-6. DOI: 10.1016/j.bios.2012.11.040. View

5.
Mani V, Devadas B, Chen S . Direct electrochemistry of glucose oxidase at electrochemically reduced graphene oxide-multiwalled carbon nanotubes hybrid material modified electrode for glucose biosensor. Biosens Bioelectron. 2012; 41:309-15. DOI: 10.1016/j.bios.2012.08.045. View