Determination of azo dyes using Smartphone Digital Image

Authors

  • Neda Ibrahem Mahdi Department of Chemistry, College of Science, Mustansiriyah University, 10052 Baghdad, IRAQ.

DOI:

https://doi.org/10.23851/mjs.v34i3.1352

Keywords:

Colorimetric analysis, Dyes, Digital image, RGB, Smartphone's camera, Radar diagrams

Abstract

The development of an economical and simple colorimetric system based on a smartphone camera and image processing was included in this study.  This method was applied to determine three azo dyes namely: Methyl Blue (M.B), Methyl Red (M.R) and Methyl Orange (M.O) using the smartphone's camera as a detector. The results of the radar diagrams were giving a good agreement with the results of the calibration curves which were built using data of RGB for each dye. For establishing the accuracy and precision of this method, a classical method (spectrophotometric) was used for validation. This advancement in smartphone-based detection and identification systems will revolutionize environmental monitoring, ensuring rapid and effective diagnosis of contaminants for individuals and communities. Streamlining the Digital image colorimetry DIC process on smartphones is essential to public health and safety while promoting more conscious and sustainable practices worldwide.

Downloads

Download data is not yet available.

References

Sumriddetchkajorn S, Chaitavon K, Intaravanne Y. Mobile-platform based colorimeter for monitoring chlorine concentration in water. Sensors and Actuators B: Chemical. 2014 Feb 1; 191:561-6.

CrossRef

Kanwar L, Rao KK. Development of a low-cost portable colorimeter for the estimation of fluoride in drinking water. Sensors and Actuators B: Chemical. 2010 Aug 6;149(1):245-51.

CrossRef

Sargazi M, Kaykhaii M. Application of a smartphone-based spectrophotometer for rapid in-field determination of nitrite and chlorine in environmental water samples. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2020 Feb 15; 227:117672.

CrossRef | PubMed

Safavi A, Maleki N, Rostamzadeh A, Maesum S. CCD camera full range pH sensor array. Talanta. 2007 Jan 15;71(1):498-501.

CrossRef | PubMed

Özdemir GK, Bayram A, Kılıç V, Horzum N, Solmaz ME. Smartphone-based detection of dyes in water for environmental sustainability. Analytical Methods. 2017;9(4):579-85.

CrossRef

Botelho BG, Dantas KC, Sena MM. Determination of allura red dye in hard candies by using digital images obtained with a mobile phone and N-PLS. Chemometrics and Intelligent Laboratory Systems. 2017 Aug 15; 167:44-9.

CrossRef

Steiner MS, Meier RJ, Duerkop A, Wolfbeis OS. Chromogenic sensing of biogenic amines using a chameleon probe and the red− green− blue readout of digital camera images. Analytical chemistry. 2010 Oct 15;82(20):8402-5.

CrossRef | PubMed

Shrivas K, Kant T, Karbhal I, Kurrey R, Sahu B, Sinha D, Patra GK, Deb MK, Pervez S. Smartphone coupled with paper-based chemical sensor for on-site determination of iron (III) in environmental and biological samples. Analytical and Bioanalytical Chemistry. 2020 Jan 13:1-1.

CrossRef | PubMed

Bueno D, Munoz R, Marty JL. Fluorescence analyzer based on smartphone camera and wireless for detection of Ochratoxin A. Sensors and Actuators B: Chemical. 2016 Sep 1; 232:462-8.

CrossRef

Shahvar A, Saraji M, Shamsaei D. Smartphone-based chemiluminescence sensing for TLC imaging. Sensors and Actuators B: Chemical. 2018 Feb1; 255: 891-894.

CrossRef

Firdaus ML, Aprian A, Meileza N, Hitsmi M, Elvia R, Rahmidar L, Khaydarov R. Smartphone coupled with a paper-based colorimetric device for sensitive and portable mercury ion sensing. Chemosensors. 2019 Jun;7(2):25.

CrossRef

Shen L, Hagen JA, Papautsky I. Point-of-care colorimetric detection with a smartphone. Lab on a Chip. 2012;12(21):4240-3.

CrossRef | PubMed

Lopez-Molinero A, Liñan D, Sipiera D, Falcon R. Chemometric interpretation of digital image colorimetry. Application for titanium determination in plastics. Microchemical Journal. 2010 Nov 1;96(2):380-5.

CrossRef

Pongnumkul S, Chaovalit P, Surasvadi N. Applications of smartphone-based sensors in agriculture: a systematic review of research. Journal of Sensors. 2015;2015.

CrossRef

Li L, Zhang Q, Huang D. A review of imaging techniques for plant phenotyping. Sensors. 2014 Nov;14(11):20078-111.

CrossRef | PubMed

Guo W, Liu Y, Cao Z, Su B. Imaging analysis based on electrogenerated chemiluminescence. Journal of Analysis and Testing. 2017 Apr 1;1(2):14.

CrossRef

Majumder S, Deen MJ. Smartphone sensors for health monitoring and diagnosis. Sensors. 2019 Jan;19(9):2164.

CrossRef | PubMed

Kwon O, Park T. Applications of smartphone cameras in agriculture, environment, and food: A review. Journal of Biosystems Engineering. 2017;42(4):330-8.

Larbi PA. RGBExcel: An RGB image data extractor and exporter for Excel processing. Signal and Image Processing: An International Journal. 2016;7(1):1-9.

CrossRef

Abbas R, Waheb A, Hami H, Mahdi N. Smartphone Digital Image Using for Determination of DCH by a Diazotization Reaction. Current Analytical Chemistry. 2020, 16: 1-8

CrossRef

Downloads

Key Dates

Published

30-09-2023

Issue

Section

Original Article

How to Cite

[1]
N. I. Mahdi, “Determination of azo dyes using Smartphone Digital Image”, Al-Mustansiriyah Journal of Science, vol. 34, no. 3, pp. 43–49, Sep. 2023, doi: 10.23851/mjs.v34i3.1352.

Similar Articles

1-10 of 129

You may also start an advanced similarity search for this article.