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利用 iPhone 对土壤中的三硝基甲苯进行快速定量分析。

Using the iPhone as a device for a rapid quantitative analysis of trinitrotoluene in soil.

机构信息

Department of Applied Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90112 Thailand; Trace Analysis and Biosensor Research Center, Prince of Songkla University, Hat Yai, Songkhla 90112 Thailand.

出版信息

Talanta. 2013 Oct 15;115:143-9. doi: 10.1016/j.talanta.2013.04.037. Epub 2013 Apr 29.

Abstract

Mobile 'smart' phones have become almost ubiquitous in society and are typically equipped with a high-resolution digital camera which can be used to produce an image very conveniently. In this study, the built-in digital camera of a smart phone (iPhone) was used to capture the results from a rapid quantitative colorimetric test for trinitrotoluene (TNT) in soil. The results were compared to those from a digital single-lens reflex (DSLR) camera. The colored product from the selective test for TNT was quantified using an innovative application of photography where the relationships between the Red Green Blue (RGB) values and the concentrations of colorimetric product were exploited. The iPhone showed itself to be capable of being used more conveniently than the DSLR while providing similar analytical results with increased sensitivity. The wide linear range and low detection limits achieved were comparable with those from spectrophotometric quantification methods. Low relative errors in the range of 0.4 to 6.3% were achieved in the analysis of control samples and 0.4-6.2% for spiked soil extracts with good precision (2.09-7.43% RSD) for the analysis over 4 days. The results demonstrate that the iPhone provides the potential to be used as an ideal novel platform for the development of a rapid on site semi quantitative field test for the analysis of explosives.

摘要

移动“智能”手机在社会中已几乎无处不在,通常配备有高分辨率的数码相机,可以非常方便地拍摄图像。在这项研究中,智能手机(iPhone)的内置数码相机用于拍摄土壤中三硝基甲苯(TNT)快速定量比色测试的结果。将结果与数码单反相机(DSLR)的结果进行了比较。使用摄影的创新应用对 TNT 选择性测试的有色产物进行了定量,利用了红、绿、蓝(RGB)值与比色产物浓度之间的关系。与 DSLR 相比,iPhone 更便于使用,同时提供了类似的分析结果,具有更高的灵敏度。所达到的宽线性范围和低检测限与分光光度定量方法相当。在分析对照样品时,相对误差在 0.4 到 6.3%的范围内,在分析 4 天内,加标土壤提取物的相对误差在 0.4-6.2%之间,精密度良好(RSD 为 2.09-7.43%)。结果表明,iPhone 具有成为用于开发用于爆炸物现场快速半定量现场测试的理想新型平台的潜力。

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