硫代硫酸盐
比色法
肉眼
RGB颜色模型
分析物
吸光度
银纳米粒子
化学
比色分析
检出限
材料科学
分析化学(期刊)
纳米颗粒
计算机科学
纳米技术
色谱法
人工智能
有机化学
硫黄
作者
Chen Dong,Zhuqing Wang,Yujie Zhang,Xuehua Ma,M. Zubair Iqbal,Lijing Miao,Zhuangwei Zhou,Zheyu Shen,Aiguo Wu
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2017-08-02
卷期号:2 (8): 1152-1159
被引量:54
标识
DOI:10.1021/acssensors.7b00257
摘要
Developing thiosulfate (S2O32–) sensors with silver nanoparticles (AgNPs) for analysis of aqueous solutions with the interference of other anions remains challenging. In this study, we propose a new strategy for excellent selective colorimetric detection of S2O32–. The nonmorphological transition of AgNPs leading to a color change from yellow to brown is verified by UV–vis, TEM, DLS, SEM, and XPS analyses. The sensor exhibits high sensitivity with detection limits of 1.0 μM by naked-eye determination and 0.2 μM by UV–vis spectroscopy analysis. The linear relationship (R2 = 0.998) between the (A0 – A)/A0 values and S2O32– concentrations from 0.2 μM to 2.0 μM indicates that the fabricated AgNPs-based colorimetric sensor can be employed for quantitative assay of S2O32–. Colorimetric responses are also monitored using the built-in camera of a smartphone. The sensor shows a linear response to S2O32– in 0–20.0 μM solutions under the optimized conditions and is thus more suitable for rapid on-site tests than other detection methods. A smartphone application (app) is downloaded under Android or IOS platforms to measure the RGB (red, green, blue) values of the colorimetric sensor after exposure to the analyte. Following data processing, the RGB values are converted into concentration values by using preloaded calibration curves. Confirmatory analysis indicates that the proposed S2O32– colorimetric sensor exhibits feasibility and sensitivity for S2O32– detection in real environmental samples.
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