中文摘要：据最近报道，纳米氧化硅（nc-SiO2）免疫传感器阵列式电子舌（E-舌）能以亚飞摩尔灵敏度同时检测多种食物毒素。但是，这些报告中毒素的量化相当不精确，导致错误超过100％。本文结合两大改进方案，通过对电子舌系统的升级设计，将亚飞摩尔范围内多重食物毒素检测的量化精度提高了90％以上。本研究所提出的E-舌系统成本低廉，操作简单，因此具有巨大的商业开发潜力。
外文摘要：Nanocrystalline silicon oxide (nc-SiO2) immunosensor array-based electronic tongue (E-tongue) has been recently reported to simultaneously detect multiple food toxins with subfemtomolar sensitivity. However, the quantification in these reports is quite imprecise leading to an error of more than 100%. In this paper, the quantification accuracy of multiple food toxin detection in the subfemtomolar range has been improved by more than 90% through upgraded design of the E-tongue system by incorporating two major modifications.First, the pore geometry of the nc-SiO2 immunosensors has been optimized to obtain the best combination of sensitivity, selectivity, and reproducibility through the evaluation of a figure of merit. Second, in the multivariate data processing using partial least squares discriminate analysis, additional input parameters corresponding to selectivity and standard deviations of the experimentally measured data have been incorporated. The final set of input parameters include peak frequency corresponding to maximum impedance sensitivity, bandwidth of the impedance sensitivity characteristics, cutoff frequency from noise spectroscopy, and their standard deviations. The optimized E-tongue system is capable of quantifying 0.1 fg/ml Aflatoxin B1 and Ochratoxin A with an error of only 10% and 20%, respectively, which is a remarkable achievement in the domain of food toxin detection. The proposed E-tongue system is low cost with minimal operator dependence and hence has immense potential for commercial deployment.
外文关键词：Electronic tongue (E-tongue)；impedance spectroscopy, noise spectroscopy；optimized nanocrystalline silicon oxide (nc-SiO2) immunosensor；partial least squares-discriminate analysis (PLS-DA)
作者：Ghosh,H；Das,R；RoyChaudhuri,C
作者单位：Indian Inst Engn Sci & Technol Shibpur
期刊名称：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
期刊影响因子：1.808
出版年份：2017
出版刊次：5
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