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智能手机图形比色法快速测定水中的高氯酸盐
引用本文:陈沛宇,罗琳,杨远,宾明杰. 智能手机图形比色法快速测定水中的高氯酸盐[J]. 中国无机分析化学, 2024, 14(4): 379-385
作者姓名:陈沛宇  罗琳  杨远  宾明杰
作者单位:湖南农业大学 环境与生态学院,湖南农业大学 环境与生态学院,湖南农业大学 环境与生态学院,湖南农业大学
基金项目:湖南省重点研发计划(2023NK2029);国家自然科学基金资助项目(42107308和42077308);中国博士后基金资助项目(2019M652768)
摘    要:高氯酸盐是水环境中一种典型的难降解的持久性无机污染物,具有高度水溶性及扩散性。地表水及地下水中的高氯酸盐可以通过多种方式保存在食物和饮用水中,对人体健康造成严重危害。针对传统的高氯酸盐检测技术操作复杂、检测周期长、成本高且不便于即时检测等问题,本文提出了一种智能手机快速测定高氯酸盐含量的新方法,以充分发挥其能简便、准确、快速现场检测水高氯酸盐的优势。本研究采用由3D打印箱、扩散板、补光灯和智能手机构建的数字图像比色装置完成了水中高氯酸盐浓度的快速检测,探讨了手机型号、光源、干扰离子对数字图像比色装置检测结果R(红)、G(绿)、B(蓝)值的影响。结果表明,以R-通道数字信号值作为测定值时,高氯酸盐在0 μg/L~600 μg/L浓度范围内呈良好的线性关系,线性方程为y=-0.1505 x+150.66,相关系数为R2=0.995,加标回收率为96~107%,检出限为27.7 μg/L,测定限为88 μg/L。选择白光、iPhone 11检测两组不同浓度高氯酸盐的实际水样,以探究重现性,测定结果的相对标准偏差为3.2%~4.0%,回收率为95%-107%,本方法具有一定的可行性和准确性,为现场快速测定水中高氯酸盐提供了一个新思路。

关 键 词:高氯酸盐  数字图像  亚甲蓝络合  智能手机
收稿时间:2023-07-11
修稿时间:2024-01-05

Rapid Determination of Perchlorate Concentration in Environmental Water Based on Smartphone
CHEN Peiyu,LUO Lin,YANG Yuan and Bing mingjie. Rapid Determination of Perchlorate Concentration in Environmental Water Based on Smartphone[J]. Chinese Journal of Inorganic Analytical Chemistry, 2024, 14(4): 379-385
Authors:CHEN Peiyu  LUO Lin  YANG Yuan  Bing mingjie
Affiliation:College of Environment and Ecology, Hunan Agricultural University,College of Environment and Ecology, Hunan Agricultural University,College of Environment and Ecology, Hunan Agricultural University,Hunan Agricultural University
Abstract:Perchlorate is a typical persistent inorganic pollutant that is difficult to degrade in the aquatic environment, with high water solubility and diffusivity. Perchlorates in surface water and groundwater can be stored in food and drinking water in various ways, posing a serious threat to human health. In response to the problems of complex operation, long detection cycle, high cost, and inconvenient real-time detection of traditional perchlorate detection technology, this article proposes a new method for rapid determination of perchlorate content using smartphone, fully leveraging its advantages of simple, accurate, and fast on-site detection of water perchlorate. In this study, a digital image colorimetric device constructed by 3D printing box, diffusion plate, fill light and smart phone was used to achieve rapid detection of perchlorate concentration in water. The effects of mobile phone model, light source and interfering ions on the R (red), G (green) and B (blue) values of the digital image colorimetric device were discussed. The results showed that when the R-channel digital signal value was taken as the determination value, the perchlorate showed a good linear relationship in the concentration range of 0 μg/L ~ 600 μg/L. The linear equation was y=-0.1505 x+150.66, the correlation coefficient was R2=0.995, and the recovery rate was 96~107%. The limit of detection was 27.7 μg/L and the limit of determination was 88 μg/L. Two sets of actual water samples with different concentrations of perchlorate were tested using white light and iPhone 11 to explore reproducibility. The relative standard deviation of the test results was only 3.2% to 4.0%, and the sample recovery rate ranges from 95% to 107%. This method has certain feasibility and accuracy, and provides a new idea for the on-site rapid determination of perchlorate in water.
Keywords:Perchlorate   Digital images   Methylene blue complexation   Smartphone
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