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An Ultrasensitive Electrochemical DNA Biosensor Based on Carboxylated Multi-walled Carbon Nanotube/Molybdenum Disulfide Composites for KRAS Gene Detection

In this paper, an ultrasensitive electrochemical biosensor based on carboxylated multi-walled carbon nanotube/molybdenum disulfide composites (MWCNTs-COOH/MoS2) for the detection of KRAS gene is described. An easy, low-cost method, named one-step hydrothermal, was used for the synthesize of MWCNTs-C...

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Bibliographic Details
Published in:Analytical Sciences 2019/04/10, Vol.35(4), pp.441-448
Main Authors: WANG, Xiaojing, YANG, Mei, LIU, Qingyan, YANG, Siyi, GENG, Xintong, YANG, Yixia, FA, Huanbao, WANG, Yongzhong, HOU, Changjun
Format: Article
Language:English
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Summary:In this paper, an ultrasensitive electrochemical biosensor based on carboxylated multi-walled carbon nanotube/molybdenum disulfide composites (MWCNTs-COOH/MoS2) for the detection of KRAS gene is described. An easy, low-cost method, named one-step hydrothermal, was used for the synthesize of MWCNTs-COOH/MoS2 nanocomposites, and scanning electronic microscopy (SEM), high resolution transmission electron microscopy (HRTEM), Fourier transform infrared spectroscopy (FT-IR), X-ray photoelectron spectroscopy (XPS) and X-ray diffraction (XRD) were used for characterizing the prepared composites. Furthermore, cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were employed for an electrochemical performance study of this biosensor. Under optimal conditions, the detection limit of target DNA achieved down to 3 fM (S/N = 3) with high sensitivity; the linear range with the logarithm of the concentrations of target DNA varied from 1.0 × 10−14 to 1.0 × 10−7 M. Finally, the practicality of our proposed sensor was verified by a determination of the KRAS gene in human serum samples with good accuracy and high precision due to the excellent conductivity and large active surface area of the MWCNTs-COOH/MoS2 nanocomposites. This proposed biosensor thus provides a practical method for the rapid and sensitive analysis of gene detection.
ISSN:0910-6340
1348-2246
DOI:10.2116/analsci.18P518