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基于 SPE 的土壤处理和适体传感器集成检测系统,用于快速现场筛选土壤中的砷污染。

SPE based soil processing and aptasensor integrated detection system for rapid on site screening of arsenic contamination in soil.

机构信息

School of Mechanical Engineering, Korea University of Technology and Education, Cheonan, Chungnam, 31253, South Korea.

School of Mechanical Engineering, Korea University of Technology and Education, Cheonan, Chungnam, 31253, South Korea.

出版信息

Ecotoxicol Environ Saf. 2020 Jun 15;196:110559. doi: 10.1016/j.ecoenv.2020.110559. Epub 2020 Apr 4.

DOI:10.1016/j.ecoenv.2020.110559
PMID:32259761
Abstract

Rapid industrialization and urbanization have resulted in serious environmental deterioration, especially in terms of heavy metal contamination in soil. Arsenic is one of the primary heavy metal contaminants in the soil and possesses a severe threat to all the plants and animals including humans. The conventional methods for analyzing arsenic contamination in soil have tedious, time-consuming sample preparation steps and require laboratory equipped instruments and skilled personnel. The present work demonstrates a novel method for arsenic As(III) detection in the contaminated soil based on field applicable sample preparation and smartphone-based optical sensing. Soil sample preparation has been simplified and optimized using acid extraction and serial application of different solid phase extraction (SPE) cartridges for the removal of interfering ions with high arsenic yield in one step. The acidic extraction and SPE efficiencies were found to be 35.4% and 54.0%, respectively, for arsenic contaminated field soil samples. The quantification of As(III) was performed by aptamer-AuNPs based colorimetric assay with a smartphone coupled optical unit. This aptasensor integrated detection system (ADS) has shown a detection limit of 14.44 ppb for aqueous samples and 1.97 ppm for field soil samples. In the accuracy comparison with ICP-MS, arsenic contaminated field soils from various sources have been tested and the results depicted a highly significant correlation coefficient of 0.997 with an average difference of 1.67 ppm. By integrating all the required analytical steps into a portable format, the presented setup enables on-site tests of arsenic contamination in soil.

摘要

快速的工业化和城市化导致了严重的环境恶化,特别是土壤中重金属污染的问题。砷是土壤中主要的重金属污染物之一,对包括人类在内的所有动植物都构成了严重威胁。传统的土壤砷污染分析方法需要繁琐、耗时的样品制备步骤,并且需要配备实验室仪器和熟练的操作人员。本工作展示了一种基于现场适用的样品制备和基于智能手机的光学传感技术检测土壤中砷污染的新方法。通过酸提取和不同固相萃取(SPE)小柱的连续应用,简化并优化了土壤样品的制备,以一步法去除高砷含量的干扰离子。对于砷污染的野外土壤样品,酸性提取和 SPE 的效率分别为 35.4%和 54.0%。通过与智能手机耦合的光学单元进行适配体-AuNPs 比色测定法定量分析 As(III)。该适配体集成检测系统(ADS)对水溶液的检测限为 14.44 ppb,对野外土壤样品的检测限为 1.97 ppm。与 ICP-MS 的准确性比较表明,对来自不同来源的砷污染野外土壤进行了测试,结果显示出高度显著的相关系数为 0.997,平均差异为 1.67 ppm。通过将所有必需的分析步骤集成到便携式设备中,该系统实现了现场土壤砷污染的检测。

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