Back to Search
Start Over
Facile Fabrication of a Selective Poly(caffeic acid)@MWCNT-Ni(OH) 2 Hybrid Nanomaterial and Its Application as a Non-Enzymatic Glucose Sensor.
- Source :
- Chemosensors; Aug2023, Vol. 11 Issue 8, p452, 16p
- Publication Year :
- 2023
-
Abstract
- A novel catechol-based PCA@MWCNT-Ni(OH)<subscript>2</subscript> hybrid material was prepared and used to construct a non-enzymatic glucose biosensor. In this synthesis, MWCNTs were covered with a poly(caffeic acid) coating and then subjected to a straightforward electrochemical process to decorate the hybrid material with Ni(OH)<subscript>2</subscript> particles. The physicochemical properties and morphology of the nanomaterial were characterized using high-resolution transmission electron microscopy (HRTEM), X-ray photoelectron spectroscopy (XPS), energy-dispersive X-ray spectroscopy (EDS), and atomic force microscopy (AFM). Amperometry and cyclic voltammetric studies demonstrated the enhanced redox properties of a GC/PCA@MWCNT-Ni(OH)<subscript>2</subscript> electrode and its electrocatalytic activity in glucose detection, with a low detection limit (0.29 μM), a selectivity of 232.7 μA mM<superscript>−1</superscript> cm<superscript>−2</superscript>, and a linear range of 0.05–10 mM, with good stability (5 months) and reproducibility (n = 8). The non-enzymatic sensor was also used for glucose determination in human serum and human blood, with recovery values ranging from 93.3% to 98.2%. In view of the properties demonstrated, the described GC/PCA@MWCNT-Ni(OH)<subscript>2</subscript> sensor represents a facile synthesis method of obtaining the hybrid nanomaterial and a low-cost approach to electrochemical glucose measurement in real samples (human serum, human blood). [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22279040
- Volume :
- 11
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Chemosensors
- Publication Type :
- Academic Journal
- Accession number :
- 170742246
- Full Text :
- https://doi.org/10.3390/chemosensors11080452