Enzyme-free 'on-off-on' photoelectrochemical biosensor based on cascaded quadratic amplification strategy for miRNA 141 detection
| Autor: | Yingzi Fu, Hui Meng, Jingling Wu, Fangjing Mo, Qian Han, Min Chen |
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| Rok vydání: | 2019 |
| Předmět: |
Materials science
02 engineering and technology 010402 general chemistry 01 natural sciences chemistry.chemical_compound X-ray photoelectron spectroscopy Materials Chemistry Electrical and Electronic Engineering Instrumentation Detection limit Photocurrent business.industry technology industry and agriculture Metals and Alloys 021001 nanoscience & nanotechnology Condensed Matter Physics Zinc sulfide Cadmium sulfide 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials chemistry Linear range Quantum dot Optoelectronics 0210 nano-technology business Biosensor |
| Zdroj: | Sensors and Actuators B: Chemical. 289:269-276 |
| ISSN: | 0925-4005 |
| Popis: | MicroRNAs (miRNAs) assay is of great significance for early diagnosis of diseases, so an enzyme-free “on-off-on” PEC biosensor has been developed for sensitive miRNA 141 determination. Manganese-doped cadmium sulfide coupled with zinc sulfide quantum dots (Mn:CdS@ZnS QDs) and manganese porphyrin (MnPP) have been used as photoelectric material and photosensitizer, respectively. And a high photocurrent of approximately 70.0 μA has been obtained. Cascaded quadratic amplification strategy has been applied in the system. Mn:CdS@ZnS QDs was characterized by transmission electron microscopy (TEM), scanning electron microscope (SEM), X-ray photoelectron spectrum (XPS) and energy dispersive X-ray spectroscopy (EDX). Photoelectrochemical and electrochemical technologies were used to monitor the fabrication process of the biosensor. The sensing platform exhibits recommendable stability and good selectivity, miRNA 141 can be accurately quantified with a linear range of 1.00 × 10−14 to 1.00 × 10-8 mol·L-1 and the detection limit of 3.30 fmol·L-1. This method provides promising potential to explore sensitive detection models for various biological molecules. |
| Databáze: | OpenAIRE |
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