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一种现场可部署的表面增强拉曼散射(SERS)方法,用于环境水中银纳米粒子的灵敏分析。

A field-deployable surface-enhanced Raman scattering (SERS) method for sensitive analysis of silver nanoparticles in environmental waters.

机构信息

Stockbridge School of Agriculture, University of Massachusetts Amherst, United States of America.

Stockbridge School of Agriculture, University of Massachusetts Amherst, United States of America; Department of Civil and Environmental Engineering, University of Massachusetts Amherst, United States of America.

出版信息

Sci Total Environ. 2019 Feb 25;653:1034-1041. doi: 10.1016/j.scitotenv.2018.10.435. Epub 2018 Nov 2.

Abstract

The proliferation of silver nanoparticles (AgNPs) in the environment and resultant transport into aquatic systems have raised concerns regarding their potential toxicity to various organisms. These environmental and ecological concerns demand reliable AgNP detection methods which can measure environmentally relevant quantities of AgNPs in real aquatic systems. This study developed a method that couples a rapid vacuum filtration technique with a portable Raman spectrometer to achieve on-site detection of ultra-low levels of AgNPs in typical and complex aquatic systems. To extract and detect AgNPs, aluminum chloride and ferbam were added for AgNP aggregation and labelling, respectively. The AgNP aggregates were filtered through a membrane, and their presence and quantity were determined based upon the surface-enhanced Raman scattering (SERS) peak intensity of ferbam. Under the optimized conditions, the extraction efficiencies are 99 ± 0.001% in ultrapure water and 98 ± 0.025% in marine water for 1 mg/L AgNPs. This method enables simple volume adjustment and improves the consistency of AgNP distribution on the membrane. The performance of the method was evaluated in different environmental waters, including marine water, fresh waters (pond water, river water, and reservoir outlet water) and drinking waters (municipal tap water and well water), with highest signal intensity in marine water and lowest signals in fresh waters. The signal intensity difference was suggested to be caused by the amount of natural organic matter (NOM) in these environmental waters. Using pond water as an example, the interference was minimized by changing the aggregating salt from AlCl to MgCl, and AgNPs as low as 5 μg/L were reliably detected with a volume of 100 mL. At the same volume, the developed method was sensitive enough to detect 1 μg/L AgNPs in marine water and also holds promise for assessing the time-dependent transformation of AgNPs.

摘要

银纳米粒子(AgNPs)在环境中的扩散及其进入水生系统的运输,引起了人们对其对各种生物潜在毒性的关注。这些环境和生态方面的关注要求有可靠的 AgNP 检测方法,能够在实际的水生系统中测量与环境相关的 AgNP 数量。本研究开发了一种方法,该方法将快速真空过滤技术与便携式拉曼光谱仪相结合,实现了在典型和复杂水生系统中对超低水平 AgNPs 的现场检测。为了提取和检测 AgNPs,分别添加了氯化铝和 ferbam 用于 AgNP 聚集和标记。AgNP 聚集体通过膜过滤,根据 ferbam 的表面增强拉曼散射(SERS)峰强度来确定其存在和数量。在优化条件下,在 1mg/L AgNPs 下,超纯水的提取效率为 99±0.001%,海水为 98±0.025%。该方法可简单调整体积,并提高 AgNP 在膜上分布的一致性。该方法在不同的环境水中进行了性能评估,包括海水、淡水(池塘水、河水和水库出水口水)和饮用水(市政自来水和井水),其中在海水中信号强度最高,在淡水中信号强度最低。信号强度的差异被认为是这些环境水中天然有机物(NOM)的含量所致。以池塘水为例,通过将聚集盐从 AlCl 更改为 MgCl,可以最大程度地减少干扰,并且可以可靠地检测到低至 5μg/L 的 AgNPs,体积为 100mL。在相同的体积下,开发的方法对于检测海水中的 1μg/L AgNPs 足够灵敏,并且对于评估 AgNPs 的时间依赖性转化也具有很大的潜力。

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