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A hemin/rGO/MWCNT nanocomposite-based dual signal electrochemical aptasensor for sensitive detection of NSEElectronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ay01238k
- Source :
- Analytical Methods; 2024, Vol. 16 Issue: 39 p6726-6735, 10p
- Publication Year :
- 2024
-
Abstract
- Neuron-specific enolase (NSE), a tumor marker of small cell lung cancer (SCLC), has high application value in the early diagnosis of SCLC. In this study, a dual signal electrochemical aptasensor for NSE was constructed based on hemin/reduced graphene oxide/multi-walled carbon nanotube (H–rGO–MWCNT) nanocomposites. Hemin played a dual role, functioning not only as an in situelectrochemical probe but also exhibiting excellent peroxidase-like properties, effectively catalyzing the electroreduction of H2O2. Reduced graphene oxide and multi-walled carbon nanotubes exhibited excellent conductivity. Through their binding with hemin, the nanocomposites achieved a larger specific surface area, providing numerous active sites for capturing the NSE aptamer. In the presence of NSE, the specific adsorption between the antigen and the aptamer formed a stable antigen–aptamer structure, which inhibited the performance of hemin, resulting in the weakening of the electrochemical signals of hemin and H2O2. Leveraging these characteristics, the sensitive and cost-effective dual-signal electrochemical aptasensor has been fabricated for the detection of NSE. One signal corresponded to differential pulse voltammetry (DPV) of hemin, while the other signal was derived from chronoamperometry, capturing the catalytic reduction of H2O2. The linear ranges for NSE were 1 pg mL−1to 1 μg mL−1and 100 pg mL−1to 100 ng mL−1with the limit of detection (LOD) of 0.21 pg mL−1and 11.22 pg mL−1by DPV and chronoamperometry, respectively. In addition, this aptasensor exhibited good reproducibility, stability and specificity. The recovery of NSE in human blood serum samples was from 89% to 131%. It provided a promising strategy for the detection of NSE in clinical diagnostics.
Details
- Language :
- English
- ISSN :
- 17599660 and 17599679
- Volume :
- 16
- Issue :
- 39
- Database :
- Supplemental Index
- Journal :
- Analytical Methods
- Publication Type :
- Periodical
- Accession number :
- ejs67652315
- Full Text :
- https://doi.org/10.1039/d4ay01238k