中文摘要：纳米氧化硅阻抗生物传感器，引入了选择性电子标记技术，能够敏感地显示浓度相关的共振峰，具有广阔的应用前景。本文详细报道了纳米氧化硅的孔隙结构对传感性能的理论及实践研究。黄曲霉毒素B1(AFB1)和赭曲霉毒素A(OTA)分别作为特异性抗原和非特异性抗原，用有限元法通过求解泊松-能斯特-普朗克方程，评估了传感器传输线路模型中的孔隙阻抗。结果发现灵敏度和选择性参数以及它们的重复性指数呈逆相关性，因此最大灵敏值不随孔隙纵横比改变而改变。此外，与过去报道中未经优化的方式相比，孔隙尺寸优化后导致优异值提高了三倍，从而使传感器的检测精度提高超过一个数量级，选择精度提高两个数量级。
外文摘要：Nanocrystalline silicon oxide impedance biosensor has a promising feature of displaying a concentration dependent resonant peak in the sensitivity characteristics which introduces an electrical marker for selectivity. However, the design of optimum pore geometry for a desirable combination of sensitivity, selectivity and repeatability is expected to be nontrivial due to the effect of electrical double layer impedance at the electrode-electrolyte interface and local charge modulation at the interface of the cylindrical and the hemispherical regions owing to the mutual interference of the electric field lines. In this paper, detailed theoretical and experimental investigations of the effect of pore geometry on the sensing performance have been reported. The pore impedance in the transmission line model of such sensors has been evaluated by solving the Poisson Nernst Planck equation using finite element method. Aflatoxin B1(AFB1) and Ochratoxin A(OTA) has been used as the specific and nonspecific antigen respectively. It has been observed that the sensitivity and selectivity parameters along with their repeatability index change oppositely and hence the maximum figure of merit does not vary in accordance with the aspect ratio of the pores. Further, the optimized dimensions have experimentally resulted in tripling of the figure of merit compared to the un-optimized dimension reported in previous literature. This effect has led to enhancement in accuracy of detection by more than an order of magnitude and selectivity by two orders of magnitude.
外文关键词：Pore geometry optimization；impedance biosensors；sensitivity；selectivity；figure of merit
作者：Ghosh, H；RoyChaudhuri, C
作者单位：Indian Inst Engn Sci & Technol
期刊名称：IEEE SENSORS JOURNAL
期刊影响因子：1.889
出版年份：2016
出版刊次：22
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