Literature DB >> 24054571

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

Aree Choodum1, Proespichaya Kanatharana, Worawit Wongniramaikul, Niamh Nic Daeid.   

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.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Digital images; Red Green Blue color system; Trinitrotoluene; iPhone

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Year:  2013        PMID: 24054571     DOI: 10.1016/j.talanta.2013.04.037

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Monitoring of Cobalt and Cadmium in Daily Cosmetics Using Powder and Paper Optical Chemosensors.

Authors:  Ahmed Radwan; Islam M El-Sewify; Hassan Mohamed El-Said Azzazy
Journal:  ACS Omega       Date:  2022-04-28

2.  Ethylenediamine-bound magnetite nanoparticles as dual function colorimetric sensor having charge transfer and nanozyme activity for TNT and tetryl detection.

Authors:  Batuhan Yardımcı; Ömer Kaan Koç; Ayşem Üzer; Jülide Hızal; Reşat Apak
Journal:  Mikrochim Acta       Date:  2021-06-11       Impact factor: 5.833

3.  Estimation of PM10 Levels and Sources in Air Quality Networks by Digital Analysis of Smartphone Camera Images Taken from Samples Deposited on Filters.

Authors:  Selena Carretero-Peña; Lorenzo Calvo Blázquez; Eduardo Pinilla-Gil
Journal:  Sensors (Basel)       Date:  2019-11-04       Impact factor: 3.576

4.  The Development of Digital Image Colorimetric Quantitative Analysis of Multi-Explosives Using Polymer Gel Sensors.

Authors:  Yudtapum Thipwimonmas; Adul Thiangchanya; Apichai Phonchai; Sittipoom Thainchaiwattana; Wachirawit Jomsati; Sunisa Jomsati; Kunanunt Tayayuth; Warakorn Limbut
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

5.  Computer vision vs. spectrofluorometer-assisted detection of common nitro-explosive components with bola-type PAH-based chemosensors.

Authors:  Igor S Kovalev; Leila K Sadieva; Olga S Taniya; Victoria M Yurk; Artem S Minin; Sougata Santra; Grigory V Zyryanov; Valery N Charushin; Oleg N Chupakhin; Mikhail V Tsurkan
Journal:  RSC Adv       Date:  2021-07-27       Impact factor: 4.036

  5 in total

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