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Spectrophotometric Determination of p -Nitrophenol under ENP Interference

机译:enp干扰下对硝基苯酚的分光光度法测定

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Engineered nanoparticles (ENPs) have been widely developed in various fields in recent years, resulting in an increasing occurrence of nanoparticles in the natural environment. However, the tiny substances have created unexpected confusion in environmental sample testing due to the negative nanoeffect of ENPs. In this paper, a novel technique of spectrophotometric determination of p -nitrophenol (PNP) was developed under the interfering impact of nano-Fe(OH) 3 , widely distributed in the natural environment as a typical example of ENPs. Because of the strong absorption at the two characteristic peaks of PNP, namely, 317?nm and 400?nm, nano-Fe(OH) 3 interfered with the colorimetric determination of PNP. Thus, the developed testing method, with HCl acidification at 60°C and ascorbic acid (AA) masking FeCl 3 , was proposed and successfully realized the accurate determination of PNP in water samples by ultraviolet spectrophotometry with 317?nm as the absorption wavelength. The final colorimetric system of 5% HCl, 10% CH 3 OH, and 1% ascorbic acid was confirmed by optimized batch experiments, and the optimum condition of acidification pretreatment was heating at 60°C for 20?min. Further results demonstrated that the proposed novel method had good accuracy and reproducibility even in high-salinity natural water bodies such as groundwater and surface water. The testing technique presented in this paper provided an interesting and useful tool for problem solving of PNP surveys under ENPs’ interference and practically supported water quality assessment for a better environment.
机译:近年来,工程纳米颗粒(ENP)已被广泛开发的各个领域,导致自然环境中纳米颗粒发生不断增加。然而,由于enps的负纳米缺点,微小物质在环境样本测试中产生了意外混淆。本文在纳米 - Fe(OH)3的干扰局部,在天然环境中广泛分布在天然环境中的干扰影响下,开发了一种新的分光光度法测定p-硝基苯酚(PNP)的新技术。由于PNP的两个特征峰处的强吸收,即317Ω·Nm和400·nm,纳米Fe(OH)3干扰了PNP的比色测定。因此,提出了在60℃和抗坏血酸(AA)掩蔽FECL 3的研制测试方法,并成功地通过紫外分光光度法精确地确定水样中的水样中PNP作为吸收波长。通过优化的批量实验证实了5%HCl,10%CH 3 OH和1%抗坏血酸的最终比色系统,酸化预处理的最佳条件在60℃下加热20≤min。进一步的结果表明,即使在地下水和地表水等高盐度天然水体中,拟议的新方法也具有良好的准确性和再现性。本文提出的测试技术提供了一个有趣的和有用的工具,用于解决enps干扰下的PNP调查和实际支持的水质评估,以获得更好的环境。

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