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首页> 外文期刊>Environmental progress >Quartz Crystal Nanobalance in Conjunction with Principal Component Analysis for Identification and Determination of Telone, Methyl Iodide, Endosulfan, and Methyl Bromide
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Quartz Crystal Nanobalance in Conjunction with Principal Component Analysis for Identification and Determination of Telone, Methyl Iodide, Endosulfan, and Methyl Bromide

机译：石英晶体纳米天平与主成分分析相结合，用于鉴定和测定特拉酮，碘甲烷，硫丹和溴甲烷

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摘要

This study reports the capability of a system based on single silicon OV-25 (a methylphenylsilicon (～75% phenyi)) modified quartz crystal nanobalance (QCN) sensor with the application of principal component analysis (PCA) as a pattern recognition technique for the detection and determination of some organo-halide pesticides (Telone, Methyl Iodide, Endosulfan, and Methyl Bromide) in aqueous solutions. It was found that the sensor response is linear against the organo-halide pesticides in the concentration ranged between of 5-30 mg L~(-1) for Endosulfan and 5-60 mg L~(-1) for three other studied pesticides. The correlation coefficients (0.992, 0.989, 0.994, and 0.993), the sensitivity factors (2.27, 2.41, 3.61, and 1.44 Hz/mg L~(-1)), and the lower limit of detections (1.4, 4.6, 2, and 4.6 mg L~(-1)) were obtained for Telone, Methyl Iodide, Endosulfan, and Methyl Bromide, respectively. PCA has been performed based on the silicon OV-25-modified QCN sensor measurement results, and the signals were transformed into feature space. It was found that the transformed values of Telone, Methyl Iodide, Endosulfan, and Methyl Bromide were well separated. Thus, the developed QCN sensor has very good applicability to successfully determine organo-halide pesticides. Also, it was found that over 93.5% of the data variance could still be explained by using two principal components (PC, and PC_2).
机译：这项研究报告了基于单硅OV-25（甲基苯基硅（〜75％酚）的改性石英晶体纳米天平（QCN）传感器的系统的功能，并将主成分分析（PCA）作为模式识别技术的应用。检测和测定水溶液中的某些有机卤化物农药（Telone，碘甲烷，硫丹和溴甲烷）。研究发现，硫丹对有机卤化物农药的传感器响应是线性的，浓度范围为5-30 mg L〜（-1），其他三种农药浓度为5-60 mg L〜（-1）。相关系数（0.992、0.999、0.994和0.993），灵敏度系数（2.27、2.41、3.61和1.44 Hz / mg L〜（-1））和检测下限（1.4、4.6、2）对于泰隆，碘甲烷，硫丹和溴甲烷，分别获得4.6 mg L〜（-1））。基于硅OV-25修改的QCN传感器的测量结果执行了PCA，并将信号转换到特征空间中。发现Telone，碘甲烷，硫丹和溴化甲烷的转化值被很好地分离了。因此，开发的QCN传感器对于成功确定有机卤化物农药具有非常好的适用性。另外，发现仍然可以通过使用两个主要成分（PC和PC_2）来解释超过93.5％的数据差异。

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