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Feasibility study on ultrasound-assisted emulsification microextraction-near infrared spectroscopy technique for the determination of traces of nonylphenol in water samples

机译:超声乳化微萃取-近红外光谱技术测定水样中痕量壬基酚的可行性研究

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摘要

An ultrasound-assisted emulsification microextraction-near infrared spectroscopy (USAEME-NIR) technique was applied for quantitative analysis of traces of nonylphenol in water samples. Development of the USAEME procedure included optimisation of some important parameters such as extracting temperature, time for ultrasonic-assisted emulsification and the ionic strength. Under optimised conditions, 200 μL carbon tetrachloride was injected into a 20 mL water sample and ultrasonically emulsified for 15min. The organic phase was taken for NIR analysis after centrifuging. Using a least squares-support vector machine regression (LS-SVMR) model, the linearity and accuracy were satisfactory in the range of 600-6000 μg L~(-1). Promising results, with r~2=0.99, RMSEP=44.8μg L~(-1) and RPD=8.9, were achieved when the model was used to analyse for nonylphenol in water samples from local factories and sewage treatment works. The results showed that rapid determination of trace contaminants in water samples by NIR is feasible using the USAEME-NIR technique.
机译:超声辅助乳化微萃取-近红外光谱(USAEME-NIR)技术用于定量分析水中的痕量壬基酚。 USAEME程序的开发包括一些重要参数的优化,例如提取温度,超声辅助乳化时间和离子强度。在最佳条件下,将200μL四氯化碳注入20 mL水样品中,并超声乳化15分钟。离心后将有机相用于NIR分析。使用最小二乘支持向量机回归(LS-SVMR)模型,线性度和精度在600-6000μgL〜(-1)范围内令人满意。当该模型用于分析当地工厂和污水处理厂的水样中的壬基酚时,获得了令人满意的结果,r〜2 = 0.99,RMSEP =44.8μgL〜(-1),RPD = 8.9。结果表明,使用USAEME-NIR技术通过NIR快速测定水中样品中的痕量污染物是可行的。

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