期刊
CARBON LETTERS
卷 33, 期 6, 页码 1863-1873出版社
SPRINGER JAPAN KK
DOI: 10.1007/s42823-023-00545-9
关键词
Cancer detection; Electrochemical biosensor; f-MWCNT; microRNA-141
In this article, a simple and label-free electrochemical miRNA biosensor was developed, which could detect miR-141 sensitively and selectively without tags. The hybridization between single-stranded DNA probes and target miR-141 sequence was successfully accomplished, and significant peaks were observed at different concentrations of miR-141. The detection limit of miR-141 was found to be 3 pM, and the biosensor showed a significant difference in peak currents between miR-141 and other target molecules. The integration of this strategy into mobile devices has also been successfully carried out.
MicroRNAs (miRNAs) are emerging materials as ideal biomarkers for noninvasive cancer detection in the early phase. In this article, a simple and label-free electrochemical miRNA biosensor was developed. A single-stranded DNA (ss-DNA) probes were successfully mapped to f-MWCNT and hybridized with the target miR-141 sequence. The optimum peak points of the obtained hybridization were determined using Cyclic Voltammetry (CV) and Differential Pulse Voltammetry (DPV) methods. Significant peaks were observed in the results, depending on miR-141 at different concentrations. The linear relationship (& nu;) between redox peak currents (Ip) and scanning rate indicated that electron transfer (ET) between miR-141 and the electrode surface was accomplished successfully. In DPV measurements, miR-141 was measured with a low detection limit (LOD) in the 1.3-12 nM concentration range, and the LOD and limit of quantification (LOQ) results were found to be 3 and 9.1 pM, respectively. Besides, selectivity test was investigated for the biosensor using different target analytes and a significant difference in value was observed between the peak currents of miR-141, and other target molecules. This developed strategy has been found to detect miR-141 sensitively, selectively and without tags, and its integration into mobile devices has been successfully carried out.
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