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

被引:103
作者
Choodum, Aree [1 ,2 ]
Kanatharana, Proespichaya [2 ,3 ,4 ]
Wongniramaikul, Worawit [2 ,5 ,6 ]
Daeid, Niamh Nic [7 ]
机构
[1] Prince Songkla Univ, Fac Sci, Dept Appl Sci, Hat Yai 90112, Songkhla, Thailand
[2] Prince Songkla Univ, Trace Anal & Biosensor Res Ctr, Hat Yai 90112, Songkhla, Thailand
[3] Prince Songkla Univ, Fac Sci, Dept Chem, Hat Yai 90112, Songkhla, Thailand
[4] Prince Songkla Univ, Fac Sci, Ctr Excellence Innovat Chem, Hat Yai 90112, Songkhla, Thailand
[5] Prince Songkla Univ, Fac Technol & Environm, Phuket 83120, Thailand
[6] Prince Songkla Univ, Southern Univ Consortium, Ctr Excellence Environm & Hazardous Waste Managem, Hat Yai 90112, Songkhla, Thailand
[7] Univ Strathclyde, WestCHEM, Dept Pure & Appl Chem, Ctr Forens Sci, Glasgow G1 1WX, Lanark, Scotland
关键词
Digital images; Red Green Blue color system; iPhone; Trinitrotoluene; CAMERA PHONES; TNT; SAMPLES; TESTS; WATER;
D O I
10.1016/j.talanta.2013.04.037
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:143 / 149
页数:7
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