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首页> 外文期刊>藥學雜誌 >Identification of Dimethoate-containing Water Using Partitioned Dispersive Liquid-liquid Microextraction Coupled with Near-infrared Spectroscopy
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Identification of Dimethoate-containing Water Using Partitioned Dispersive Liquid-liquid Microextraction Coupled with Near-infrared Spectroscopy

机译：分配分散液-液微萃取-近红外光谱法鉴定含乐果的水

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摘要

A simple, rapid and efficient extraction procedure, partitioned dispersive liquid-liquid microextraction, has been developed in combination with near-infrared spectroscopy for the extraction and discrimination of dimethoate from aqueous samples. For this technique, the appropriate mixture of extraction solvent (CC14) and disperser solvent (THF) was utilized. Partial least squares discriminant analysis was applied to build the model with several pre-process methods over the wavenumber regions between 7100 cm-1 to 7300 cm~(-1).The best model gave satisfactory classification accuracy, 98.6 % for calibration set (n=74) and 97.6% for prediction set (n=42) ， using preprocessing of standard normal variate followed by Savitzky-Golay first derivative. The method was successfully applied to bottled water, tap water, lake water and farm water samples. The results demonstrated the possibility of near-infrared spectroscopy after partitioned dispersive liquid-liquid microextraction for the identification of water contaminated by dimethoate.
机译：结合近红外光谱技术开发了一种简单，快速，高效的提取程序，即分散式液-液微萃取，用于从含水样品中提取和鉴别乐果。对于该技术，使用了萃取溶剂（CC14）和分散溶剂（THF）的适当混合物。运用偏最小二乘判别分析，通过几种预处理方法对7100 cm-1至7300 cm〜（-1）的波数区域建立了模型。最佳模型给出了令人满意的分类精度，校准集的准确率为98.6％（n = 74）和97.6％的预测集（n = 42），使用标准正态变量的预处理，然后进行Savitzky-Golay一阶导数。该方法已成功应用于瓶装水，自来水，湖水和农田水样品。结果表明，在分配分散的液-液微萃取后，近红外光谱法可用于鉴定乐果污染的水。

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