利用氧化铁纳米颗粒检测水样中砷的纸基分析装置的研制

Shraddha K. Chauhan, L. Upadhyay
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引用次数: 0

摘要

地下水砷污染是近年来全球性的主要问题之一。长期接触砷会对健康造成危害,比如皮肤癌、肺癌和心脏病。监测砷水平的传统方法往往是费力的,需要高技能的人员来进行测量,因此需要开发一种简单和经济有效的技术来快速和连续监测。基于纸张的砷检测方法是一种低成本、非仪器的水污染物现场检测方法。本研究开发了一种快速、简单、经济的砷检测方法。该方法涉及在分析系统内与纸质分析装置(PAD)上的硝酸银发生反应的砷气的产生。硝酸银和砷之间的这种反应产生了一种彩色产物,通过图像处理软件扫描彩色强度来检测。氧化铁纳米颗粒作为还原剂,使砷产生砷气体。这些纳米颗粒是用指甲花提取物通过绿色技术合成的。整个反应发生在装有PAD的橡胶盖的玻璃小瓶中。对还原剂浓度、硝酸银浓度、反应时间等影响分析过程性能的实验参数进行了评价。在最佳条件下,该方法的检出限为0.005ppm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and fabrication of a paper based analytical device using iron oxide nanoparticles to detect arsenic in aqueous samples
Ground water arsenic contamination is one of the major global issues in recent days. The long exposure of arsenic can cause hazardous health effects like skin cancer, lung cancer as well as heart diseases. Conventional methods for monitoring arsenic level is often strenuous and require highly skilled personals to perform the measurements, thus there is a need to develop a simple and cost- effective techniques for quick and continuous monitoring. Paper-based approach for detecting the arsenic is a low-cost, non-instrumental method and provides on-site detection of water contaminants. In this study a rapid, simple and affordable method for arsenic detection was developed. This methodology involves the generation of arsine gas inside the analysis system that reacts with the silver nitrate present on the paper analytical device (PAD). This reaction between silver nitrate and arsine gives a colored product that was detected by scanning the colored intensity with image processing software. The iron oxide nanoparticles act as a reducing agent that causes the generation of arsine gas from arsenic. These nanoparticles were synthesized through green technology by using henna extract. The whole reaction takes place in the glass vial with the rubber cap on it at which the PAD was placed. Experimental parameters like concentration of reducing agent, silver nitrate and reaction time were evaluated that affects the performance of the analytical process. Under optimal conditions the method showed the detection limit of 0.005ppm.
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