On-site semi-quantitative analysis for ammonium nitrate detection using digital image colourimetry

Choodum, Aree; Boonsamran, Pichapat; NicDaéid, Niamh; Wongniramaikul, Worawit

doi:10.1016/j.scijus.2015.05.001

Cited by 21 publications

(9 citation statements)

References 37 publications

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“…Therefore, research about the application of digital image colorimetry has bloomed in the past decade. These studies have tried to quantify the metal cations [ 14 , 15 , 16 , 17 ], nitrate (trinitrotoluene (TNT) [ 18 ], ammonium nitrate [ 19 ]), phosphorus [ 17 ], chlorine [ 14 , 20 , 21 ] in water through digital images by using either camera, smartphone or webcams, but without a comparable method to correct light influence or using different color values, which makes it difficult to make a comparison. Details of the literature are shown in Table S1 .…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Digital Colorimetry Setup to Investigate the Relationship between Water Color and Its Chemical Composition

Zeng

Mannaerts

Shang

2021

Sensors

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Developments in digital image acquisition technologies and citizen science lead to more water color observations and broader public participation in environmental monitoring. However, the implications of the use of these simple water color indices for water quality assessment have not yet been fully evaluated. In this paper, we build a low-cost digital camera colorimetry setup to investigate quantitative relationships between water color indices and concentrations of optically active constituents (OACs). As proxies for colored dissolved organic matter (CDOM) and phytoplankton, humic acid and algae pigments were used to investigate the relationship between water chromaticity and concentration. We found that the concentration fits an ascending relationship with xy chromaticity values and a descending relationship with hue angle. Our investigations permitted us to increase the information content of simple water color observations, by relating them to chemical constituent concentrations in observed waters.

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Section: Introductionmentioning

confidence: 99%

A Low-Cost Digital Colorimetry Setup to Investigate the Relationship between Water Color and Its Chemical Composition

Zeng

Mannaerts

Shang

2021

Sensors

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“…The colorimetric method is an interesting approach because it is inexpensive and does not require expert analysis. For example, the development of rapid quantitative determination of 2,4,6-trinitrotoluene (TNT) and ammonium nitrate explosives made use of a software application installed on a mobile phone [ 25 , 26 ]. The response was fast, processing was possible in real time, the procedure was simple, and the device was portable.…”

Section: Introductionmentioning

confidence: 99%

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

Thipwimonmas

Thiangchanya

Phonchai

et al. 2021

Sensors

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Polymer gel sensors on 96-well plates were successfully used to detect four different multi-explosives, including 2,4,6-trinitrotoluene (TNT), 2,4-dinitrotoluene (DNT), nitrite, and perchlorate. The products of reactions between the explosives and the polymer gel sensors were digitally captured, and the images were analyzed by a developed Red–Green–Blue (RGB) analyzer program on a notebook computer. RGB color analysis provided the basic color data of the reaction products for the quantification of the explosives. The results provided good linear range, sensitivity, limit of detection, limit of quantitation, specificity, interference tolerance, and recovery. The method demonstrated great potential to detect explosives by colorimetric analysis of digital images of samples on 96-well plates. It is possible to apply the proposed method for quantitative on-site field screening of multi-explosives.

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“…4 TMAH-doped starch films were used in conjunction with digital image colorimetry (DIC) instead of conventional spectrophotometric measurement 7,16,[26][27][28] for rapid quantitative analysis. DIC makes on-site TNT detection more convenient and cost effective because it employs cheaper portable detection devices, e.g., a digital camera [29][30][31][32][33][34] or smartphone, [4][5][6]8,31 instead of a spectrophotometer. In the work described in this article, a widely commercially available webcam was used to photograph the colorimetric product obtained from the film developed.…”

Section: Introductionmentioning

confidence: 99%

Tetramethylammonium Hydroxide-doped Starch Film as a Colorimetric Sensor for Trinitrotoluene Detection

et al. 2020

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A tetramethylammonium hydroxide (TMAH)-doped starch film was developed for trinitrotoluene (TNT) detection. A purple Janowsky anion was obtained from the reaction of TNT with released TMAH. When the film was used in conjunction with digital image colorimetry (DIC), rapid quantitative analysis of TNT was achieved. The Red-Green-Blue (RGB) intensities analyzed from digital photographs of the purple product were used to establish calibration curves for TNT. A wide linear range (2.5 to 50 mgL-1) with good linearity (R 2 > 0.99) was achieved for the quantification of TNT. Good precision (1.73 to 3.74%RSD) was obtained for inter-day tests (n = 5). The films were applied to test four postblast soil samples and two positive results were observed. The concentrations quantified by DIC were in good agreement with spectrophotometry. The film was able to be stored in a freezer for 3 months with <4.3% change in performance.

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On-site semi-quantitative analysis for ammonium nitrate detection using digital image colourimetry

Cited by 21 publications

References 37 publications

A Low-Cost Digital Colorimetry Setup to Investigate the Relationship between Water Color and Its Chemical Composition

A Low-Cost Digital Colorimetry Setup to Investigate the Relationship between Water Color and Its Chemical Composition

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

Tetramethylammonium Hydroxide-doped Starch Film as a Colorimetric Sensor for Trinitrotoluene Detection

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