Construction of Chitosan-Zn-Based Electrochemical Biosensing Platform for Rapid and Accurate Assay of Actin.

Construction of Chitosan-Zn-Based Electrochemical Biosensing Platform for Rapid and Accurate Assay of Actin.
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壳聚糖-锌基电化学生物传感平台的构建用于肌动蛋白的快速准确检测

DOI:
10.3390/s18061865
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发表时间:
2018-06-07
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Cao J
Cao J
中科院分区:
其他
文献类型:
--
作者:
Sun C;Zou Y;Wang D;Geng Z;Xu W;Liu F;Cao J

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本工作报道了一种用于肌动蛋白检测的灵敏免疫传感器的研制。该传感器分别使用壳聚糖 - 锌纳米粒子(NPs)作为传感材料以及在玻碳电极上修饰的抗肌动蛋白制成。利用透射电子显微镜(TEM)、傅里叶变换红外光谱(FTIR)、X射线衍射(XRD)光谱和圆二色性(CD)技术对制备的材料进行了表征。同时,通过线性扫描伏安法(LSV)、电化学阻抗谱(EIS)和差分脉冲伏安法(DPV)研究了其电化学性质。根据实验,在最佳条件下,线性拟合方程为I(μA)= -17.31 + 78.97c(R² = 0.9948)。线性范围为0.0001至0.1 mg/mL,检测限(LOD,S/N = 3)为21.52 ng/mL。还进行了干扰研究以检验传感器对肌动蛋白的选择性。由于壳聚糖 - 锌纳米粒子具有更好的性能,该修饰电极被认为比蛋白质印迹法或免疫组织化学方法更适合实时应用。所报道的检测限是迄今为止最低的,这种方法为质量评估提供了一种新途径。
This work reports a study on the development of a sensitive immunosensor for the assay of actin, which is fabricated using sensing material chitosan-Zn nanoparticles (NPs) and anti-actin modified on glassy carbon electrode respectively. The prepared materials were characterized using transmission electron microscope (TEM), fourier transform infrared spectra (FTIR), X-ray diffraction (XRD) spectra, and circular dichroism (CD) techniques. Meanwhile, the electrochemical properties were studied by linear sweep voltammetric (LSV), electrochemical impedance spectra (EIS), and differential pulse voltammetry (DPV). According to the experiments, under the optimum conditions, the linear fitting equation was I (μA) = −17.31 + 78.97c (R2 = 0.9948). The linear range was from 0.0001 to 0.1 mg/mL and the detection limit (LOD, S/N = 3) was 21.52 ng/mL. The interference studies were also performed for checking the sensors’ selectivity to actin. With better properties of the chitosan-Zn NPs, the modified electrode is considered as a better candidate than Western blot or immunohistochemical method for real-time usability. The detection limit reported is the lowest till date and this method provides a new approach for quality evaluation.
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