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High-Performance Colorimetric Detection of Thiosulfate by Using Silver Nanoparticles for Smartphone-Based Analysis
ACS Sensors ( IF 8.2 ) Pub Date : 2017-08-02 00:00:00 , DOI: 10.1021/acssensors.7b00257 Chen Dong 1 , Zhuqing Wang 2 , Yujie Zhang 1 , Xuehua Ma 1 , M. Zubair Iqbal 1 , Lijing Miao 1 , Zhuangwei Zhou 1 , Zheyu Shen 1 , Aiguo Wu 1
ACS Sensors ( IF 8.2 ) Pub Date : 2017-08-02 00:00:00 , DOI: 10.1021/acssensors.7b00257 Chen Dong 1 , Zhuqing Wang 2 , Yujie Zhang 1 , Xuehua Ma 1 , M. Zubair Iqbal 1 , Lijing Miao 1 , Zhuangwei Zhou 1 , Zheyu Shen 1 , Aiguo Wu 1
Affiliation
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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.
中文翻译：
银纳米粒子的智能比色法高效比色检测硫代硫酸盐
开发具有银纳米颗粒（AgNPs）的硫代硫酸盐（S 2 O 3 2-）传感器以分析水溶液中其他阴离子的干扰仍然具有挑战性。在这项研究中，我们提出了一种出色的S 2 O 3 2–选择性比色检测的新策略。通过紫外可见，TEM，DLS，SEM和XPS分析验证了AgNPs的非形态转变导致颜色从黄色变为棕色。该传感器具有高灵敏度，通过肉眼测定的检测极限为1.0μM，通过紫外可见光谱分析的检测极限为0.2μM。的线性关系（- [R 2的（之间= 0.998）阿0 -甲/）A 0值和0.2μM至2.0μM的S 2 O 3 2–浓度表明，基于AgNPs的比色传感器可用于S 2 O 3 2–的定量分析。还可以使用智能手机的内置摄像头监控比色响应。传感器显示出对S 2 O 3 2–的线性响应在优化条件下在0–20.0μM溶液中进行分析，因此比其他检测方法更适合于快速现场测试。在Android或IOS平台上下载了智能手机应用程序（app），以测量暴露于分析物后的比色传感器的RGB（红色，绿色，蓝色）值。数据处理之后，通过使用预加载的校准曲线将RGB值转换为浓度值。验证性分析表明，所建议的S 2 O 3 2-比色传感器对实际环境样品中S 2 O 3 2-的检测具有可行性和敏感性。
更新日期：2017-08-03
中文翻译：
银纳米粒子的智能比色法高效比色检测硫代硫酸盐
开发具有银纳米颗粒（AgNPs）的硫代硫酸盐（S 2 O 3 2-）传感器以分析水溶液中其他阴离子的干扰仍然具有挑战性。在这项研究中，我们提出了一种出色的S 2 O 3 2–选择性比色检测的新策略。通过紫外可见，TEM，DLS，SEM和XPS分析验证了AgNPs的非形态转变导致颜色从黄色变为棕色。该传感器具有高灵敏度，通过肉眼测定的检测极限为1.0μM，通过紫外可见光谱分析的检测极限为0.2μM。的线性关系（- [R 2的（之间= 0.998）阿0 -甲/）A 0值和0.2μM至2.0μM的S 2 O 3 2–浓度表明，基于AgNPs的比色传感器可用于S 2 O 3 2–的定量分析。还可以使用智能手机的内置摄像头监控比色响应。传感器显示出对S 2 O 3 2–的线性响应在优化条件下在0–20.0μM溶液中进行分析，因此比其他检测方法更适合于快速现场测试。在Android或IOS平台上下载了智能手机应用程序（app），以测量暴露于分析物后的比色传感器的RGB（红色，绿色，蓝色）值。数据处理之后，通过使用预加载的校准曲线将RGB值转换为浓度值。验证性分析表明，所建议的S 2 O 3 2-比色传感器对实际环境样品中S 2 O 3 2-的检测具有可行性和敏感性。
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