Abstract
An android smartphone-based Digital Image Colorimeter (DIC) was proposed as a simple, fast, portable, an environmentally friendly, and accurate analytical procedure for quantitative detection of acid fuchsine dye in aqueous solutions. In this study, light-boxes photography was recommended for the quantitative assessment and constructed utilizing built-in-house analytical device supported by smartphone. An application called Color Grab App was developed for the Android smartphone that uses an image-matching algorithm to assess the AFD solutions. The color values such as red (R), green (G), and blue (B) parameters can be measured via the app and utilized for determining the examined AFD solutions. The influence of main factors, such as light-boxes component, distance of sample cell holder, lighting types, position, angle, and power were studied in detail to obtain the correct color of the AFD solution and optimum conditions for recording the real RGB value. Under optimal conditions, the obtained calibration curves were linear over the ranges 3–9, 3–100, and 3–20 µg mL−1 of AFD with a good correlation coefficient (R2 > 0.99) due to using G, B, and the sum of GB channels, respectively. The obtained signal via a G channel presented greater sensitivity and linearity, therefore preferred to be the best working channel for the AFD assessment. The accuracy and precision of the proposed method were also in acceptable range. UV–Vis spectrophotometry was also utilized as reference method. The proposed method was successfully applied for the evaluation of the dye decolorization levels via Pseudomonas Aeruginosa BCH bacterium strain. It has been observed that the recorded results by the proposed methods are in a good agreement with those recorded by the reference method. The proposed method also provides budgetary advantages due to the use of low-cost and easy-handled device.
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References
M. Elimelech, The global challenge for adequate and safe water. J. Water Supply Res. Technol. 55(1), 3 (2006)
J. Fawell, M.J. Nieuwenhuijsen, Contaminants in drinking water environmental pollution and health. Br. Med. Bull. 68(1), 199 (2003)
H.S. Khalid, H.S. Ali, D.A. Almashhadany, Metalliferous content of drinking water and sediments in storage tanks of some schools in Erbil city, Iraq. Ital. J. Food Saf. 9(3) (2020).
A.F. Al Yaqout, Assessment and analysis of industrial liquid waste and sludge disposal at unlined landfill sites in arid climate. Waste Manage (Oxford) 23(9), 817 (2003)
S. Sharma, A. Bhattacharya, Drinking water contamination and treatment techniques. Appl. Water Sci. 7(3), 1043 (2017)
ChEBI. CHEBI:87052 - Acid Fuchsin Dye, Cambridgeshire, UK (2015). https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:87052#:~:text=Acid%20fuchsin%20has%20wide%20use,to%20distinguish%20muscle%20from%20collagen., Accessed from 10 Aug 2022
G. Marolt, M. Kolar, Analytical methods for determination of phytic acid and other inositol phosphates: a review. Molecules 26(1), 174 (2020)
A. Khanmohammadi, A. Jalili Ghazizadeh, P. Hashemi, A. Afkhami, F. Arduini, H. Bagheri, An overview to electrochemical biosensors and sensors for the detection of environmental contaminants. J. Iran. Chem. Soc. 17(10), 2429 (2020)
L.-P. Chen, Y. Jiao, Preparation of activated carbon from sunflower straw through H3PO4 activation and its application for acid fuchsin dye adsorption. Water Sci. Eng. 16(2), 193 (2023)
A.A. Renita, D.J. Amarnath, S.L. Duraikannu, Synthesis of peanut-shell magnetized biocarbon for acid fuchsin dye removal. Mater. Today: Proc. 43, 3075 (2021)
N.S. Ahmedzeki, A. Kamil, Statistical analysis of the removal of acid fuchsin dye using zeolite 5A. Iraqi J. Chem. Pet. Eng. 18(2), 41 (2017)
D. Monal, J.K. Basu, Statistical optimization for the adsorption of acid fuchsin onto the surface of carbon alumina composite pellet: an application of response surface methodology. J. Environ. Sci. Technol. 5(1), 42 (2012)
N. Gong, Y. Liu, R. Huang, Simultaneous adsorption of Cu2+ and Acid fuchsin (AF) from aqueous solutions by CMC/bentonite composite. Int. J. Biol. Macromol. 115, 580 (2018)
E. Kalkan, H. Nadaroglu, N. Celebi, H. Celik, E. Tasgin, "Experimental Study to Remediate Acid Fuchsin Dye Using Laccase-Modified Zeolite from Aqueous Solutions,"Pol. J. Environ. Stud., 24, 1, (2015).
E. Kalkan, H. Nadaroglu, Adsorptive removal of Acid Fuchsin dye using by-product silica fume and laccase-modified silica fume. Iran. J. Chem. Chem. Eng. 40(2), 551 (2021)
J. Yu, J. Zou, P. Xu, Q. He, Three-dimensional photoelectrocatalytic degradation of the opaque dye acid fuchsin by Pr and Co co-doped TiO2 particle electrodes. J. Clean. Prod. 251, 119744 (2020)
R. Zhou, R. Zhou, X. Zhang, K. Bazaka, K.K. Ostrikov, Continuous flow removal of acid fuchsine by dielectric barrier discharge plasma water bed enhanced by activated carbon adsorption. Front. Chem. Sci. Eng. 13, 340 (2019)
Y. Sheng, L. Zhen, X. Wang, N. Li, Q. Tong, Degradation of acid fuchsine by a modified electro-Fenton system with magnetic stirring as oxygen supplying. J. Environ. Sci. 22(4), 547 (2010)
S.B. Jadhav, S.M. Yedurkar, S.S. Phugare, J.P. Jadhav, Biodegradation studies on acid violet 19, a triphenylmethane dye, by Pseudomonas aeruginosa BCH. Clean–Soil Air Water 40(5), 551 (2012)
L. Ayed, K. Chaieb, A. Cheref, A. Bakhrouf, Biodegradation and decolorization of triphenylmethane dyes by Staphylococcus epidermidis. Desalination 260(1–3), 137–146 (2010)
Y. Fan, J. Li, Y. Guo, L. Xie, G. Zhang, Digital image colorimetry on smartphone for chemical analysis: a review. Measurement 171, 108829 (2021)
S. Damirchi, T. Heidari, Evaluation of digital camera as a portable colorimetric sensor for low-cost determination of inorganic arsenic (III) in industrial wastewaters by chemical hydride generation assisted-Fe (III)− 1, 10-phenanthroline as a green color agent. J Iran. Chem. Soc. 15, 2549 (2018)
M. Kompany-Zareh, M. Mansourian, F. Ravaee, Simple method for colorimetric spot-test quantitative analysis of Fe (III) using a computer controlled hand-scanner. Anal. Chim. Acta 471(1), 97 (2002)
K. Leon, D. Mery, F. Pedreschi, J. Leon, Color measurement in L∗ a∗ b∗ units from RGB digital images. Food Res. Int. 39(10), 1084 (2006)
L. Byrne, J. Barker, G. Pennarun-Thomas, D. Diamond, S. Edwards, Digital imaging as a detector for generic analytical measurements. TrAC 19(8), 517 (2000)
Y. Suzuki, M. Endo, J. Jin, K. Iwase, M. Iwatsuki, Tristimulus colorimetry using a digital still camera and its application to determination of iron and residual chlorine in water samples. Anal. Sci. 22(3), 410 (2006)
N. Bang-iam, Y. Udnan, P. Masawat, Design and fabrication of artificial neural network-digital image-based colorimeter for protein assay in natural rubber latex and medical latex gloves. Microchem. J. 106, 270 (2013)
E. Nobrega Gaiao, V.L. Martins, W. da Silva Lyra, L.F. de Almeida, E.C. da Silva, M.C.U. Araújo, Digital image-based titrations. Anal. Chim. Acta 570(2), 283 (2006)
M.B. Lima, S.I.E. Andrade, I.S. Barreto, L.F. Almeida, M.C.U. Araújo, A digital image-based micro-flow-batch analyzer. Microchem. J. 106, 238 (2013)
A.R. Tôrres, W. da Silva Lyra, S.I.E. de Andrade, R.A.N. Andrade, E.C. da Silva, M.C.U. Araújo, E. da Nóbrega Gaião, A digital image-based method for determining of total acidity in red wines using acid–base titration without indicator. Talanta 84(3), 601 (2011)
A. García, M. Erenas, E.D. Marinetto, C.A. Abad, I. de Orbe-Paya, A.J. Palma, L.F. Capitán-Vallvey, Mobile phone platform as portable chemical analyzer. Sens. Actuators B Chem. 156(1), 350 (2011)
N. López-Ruiz, A. Martínez-Olmos, I.P. de Vargas-Sansalvador, M. Fernández-Ramos, M. Carvajal, L. Capitan-Vallvey, A. Palma, Determination of O2 using colour sensing from image processing with mobile devices. Sens. Actuators B Chem. 171, 938 (2012)
V. Springer, F. Avila, M. Avena, A simple strategy for methylene blue determination in human and veterinary dosage forms by digital imaging. J. Anal. Chem. 75(7), 958 (2020)
M.S. Woolf, L.M. Dignan, A.T. Scott, J.P. Landers, Digital postprocessing and image segmentation for objective analysis of colorimetric reactions. Nat. Protoc. 16(1), 218 (2021)
P. Masawat, A. Harfield, A. Namwong, An iPhone-based digital image colorimeter for detecting tetracycline in milk. Food Chem. 184, 23 (2015)
J. Chanla, M. Kanna, J. Jakmunee, S. Somnam, Application of smartphone as a digital image colorimetric detection for batch and flow-based acid-base titration. Chiang Mai J. Sci. 46(5), 975 (2019)
Y. Thipwimonmas, A. Thiangchanya, A. Phonchai, S. Thainchaiwattana, W. Jomsati, S. Jomsati, K. Tayayuth, W. Limbut, The development of digital image colorimetric quantitative analysis of multi-explosives using polymer gel sensors. Sensors 21, 23 (2021)
Alexis. 10 Best Color Identifier Apps for Android/iPhones (iOS) in 2023 (2023). https://oscarmini.com/best-color-identifier-apps/, Accessed from 20 Apr 2023
A. Negi. 10 best color identifier apps for Android and iPhone 2023 (2022). https://tipsroid.com/color-identifier-apps/, Accessed from 25 May 2023
B. Stephenson. The 8 best colors apps of 2023 (2023). https://www.lifewire.com/the-10-best-colors-apps-of-2018-4178722, Accessed from 25 April 2023
V. Arunachalam, D.C. Salgaonkar, N.V. Kevat, B.V. Walawalkar, B. Das, Quantification of betacyanin content variation of amaranth varieties by an Android App, colorimeter, and infrared spectroscopy. Chin. J. Anal. Chem. 50(10), 100145 (2022)
M. Moslemzadeh, A. Larki, K. Ghanemi, A combination of dispersive liquid–liquid microextraction and smartphone-based colorimetric system for the phenol measurement. Microchem. J. 159, 105583 (2020)
R.F. Abbas, A.A. Waheb, H.K. Hami, N.I. Mahdi, Smartphone digital image using for determination of DCH by a diazotization reaction. Curr. Anal. Chem. 16(8), 988 (2020)
M. Fan, Z. Pan, C. Wang, Y. Guo, J. Sun, M. Liu, B. Peng, J. Wu, Y. Fang, Quantitative visual detection of mercury ions with ratiometric fluorescent test paper sensor. Front. Chem. 10, 859379 (2022)
B. Peng, J. Zhou, J. Xu, M. Fan, Y. Ma, M. Zhou, T. Li, S. Zhao, A smartphone-based colorimetry after dispersive liquid–liquid microextraction for rapid quantification of calcium in water and food samples. Microchem. J. 149, 104072 (2019)
B. Jain, R. Jain, R.R. Jha, A. Bajaj, S. Sharma, A green analytical approach based on smartphone digital image colorimetry for aspirin and salicylic acid analysis. Green Anal. Chem. 3, 100033 (2022)
M. Saadati, Smartphone-based digital image analysis for determination of some food dyes in commercial products. Food Anal. Methods 14(11), 2367 (2021)
A. Hossain, J. Canning, S. Ast, P.J. Rutledge, T.L. Yen, A. Jamalipour, Lab-in-a-phone: smartphone-based portable fluorometer for pH measurements of environmental water. IEEE Sens. J. 15(9), 5095 (2014)
C.G. Ravazzi, M.D.O.K. Franco, M.C.R. Vieira, W.T. Suarez, Smartphone application for captopril determination in dosage forms and synthetic urine employing digital imaging. Talanta 189, 339 (2018)
B. Hemmateenejad, S.F. Farzam, N. Mobaraki, Simultaneous measurement of leucine and isoleucine by multivariate image analysis-thin layer chromatography (MIA-TLC). J Iran. Chem. Soc. 11, 1609 (2014)
L.P. dos Santos Benedetti, V.B. dos Santos, T.A. Silva, E. Benedetti Filho, V.L. Martins, O. Fatibello-Filho, A digital image-based method employing a spot-test for quantification of ethanol in drinks. Anal. Methods 7(10), 4138 (2015)
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Khalid, H.S., Fakhre, N.A. An android smartphone-based digital image colorimeter for detecting acid fuchsine dye in aqueous solutions. J IRAN CHEM SOC 20, 3043–3057 (2023). https://doi.org/10.1007/s13738-023-02896-6
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DOI: https://doi.org/10.1007/s13738-023-02896-6