Research Article
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Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water

Year 2024, Volume: 14 Issue: 1, 70 - 79, 29.04.2024

Abstract

In this study, a digital imaging box-based colorimetric analysis method was developed for the determination of phenolphthalein in drinking water samples. In digital imaging, a smartphone camera was used as a sensor, and an application called "Color Detector" was used as software. Firstly, an optimization study was carried out for the variables that were considered to be effective on the analysis method. For this purpose, the distance of the sample from the phone lens, the location on the sample to be measured, the scale at the measurement location and pH values were optimized. Then, analysis was carried out with samples with different concentrations between 0.5-5.0 ppm. Linearity between 1-4 mg/L was observed in the analysis results. As a result of the calculations made to determine the method performance, the limit of detection (LOD) was found to be 0.58 mg/L and the percent relative standard deviation was 0.28% (n = 8). A recovery study was carried out on a drinking water sample to evaluate the performance of the method we developed in the real sample environment. As a result of the analysis, percentage recovery values were found to be in the range of 99%-106%. These values show that our method has high performance in drinking water samples.

Project Number

1919B012201439

References

  • Adewuyi, A., Oderinde R. A. 2022. Removal of phenolphthalein and methyl orange from laboratory wastewater using tetraethylammonium-modified kaolinite clay. Curr. Res. Green Sustain. Chem., vol. 5:(100320). Doi: 10.1016/J.CRGSC.2022.100320.
  • Barreto, J. A., dos Santos de Assis, R., Santos, L. B., Cassella, R. J., Lemos, V. A. 2020. Pressure variation in-syringe dispersive liquid-liquid microextraction associated with digital image colorimetry: Determination of cobalt in food samples. Microchemical Journal, 157:105064. Doi: https://doi.org/10.1016/j.microc.2020.105064
  • Choodum, A., Sriprom, W., and Wongniramaikul, W. 2019. Portable and selective colorimetric film and digital image colorimetry for the detection of iron. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 208, 40–47.
  • Devadhasan, J.P., Oh, H., Choi, C.S., and Kim, S. 2015. Whole blood glucose analysis based on the smartphone camera module. Journal of Biomedical Optics, 20, 117001.
  • Dunnick, J. K., Hailey, J. R. 1996. Phenolphthalein exposure causes multiple carcinogenic effects in experimental model systems. Cancer Research, 56(21): 4922–4926.
  • El Kaoutit, H., Estévez, P., García, F. C., Serna, F., and García, J. M. 2013. Sub-ppm quantification of Hg(ii) in aqueous media using both the naked eye and digital information from pictures of a colorimetric sensory polymer membrane taken with the digital camera of a conventional mobile phone. Analytical Methods, 5(1), 54–58. https://doi.org/10.1039/c2ay26307f
  • Fan, Y., Li, J., Guo, Y., Xie, L., Zhang, G. 2021. Digital image colorimetry on a smartphone for chemical analysis: A review. Measurement: Journal of the International Measurement Confederation, 171: 108829. Doi: https://doi.org/10.1016/j.measurement.2020.108829
  • Fang, F., Qi, Y., Lu, F., and Yang, L. 2016. Highly sensitive on-site detection of drugs adulterated in botanical dietary supplements using thin layer chromatography combined with dynamic surface enhanced Raman spectroscopy. Talanta, 146, 351–357. https://doi.org/10.1016/j.talanta.2015.08.067
  • Firdaus, M.L., Aprian, A., Meileza, N., Hitsmi, M., Elvia, R., Rahmidar, L., and Khaydarov, R. 2019. Smartphone coupled with a paper-based colorimetric device for sensitive and portable mercury ion sensing. Chemosensors, 7(2).
  • Geng, M., Yang, Y. J., and Hu, S. 2009. The voltammetric determination of phenolphthalein on multi-walled carbon nanotube-DHP composite film-modified glassy carbon electrode. Fullerenes Nanotubes and Carbon Nanostructures, 17(3), 285–297. https://doi.org/10.1080/15363830902779619
  • Guo et al .Z. May 2012. A highly sensitive electrochemiluminescence method combined with molecularly imprinted solid phase extraction for the determination of phenolphthalein in drug, slimming food, and human plasma. Food Chem., 132(2): 1092–1097. Doi: 10.1016/J.FOODCHEM.2011.11.056.
  • Guo, J., Wong, J.X.H., Cui, C., Li, X., and Yu, H.Z. 2015. A smartphone-readable barcode assay for the detection and quantitation of pesticide residues. Analyst, 140, 5518–5525.
  • Jain, R., Jha, R. R., Kumari, A., Khatri, I. 2021. Dispersive liquid-liquid microextraction combined with digital image colorimetry for paracetamol analysis. Microchemical Journal, 162: 105870. Doi: https://doi.org/10.1016/j.microc.2020.105870 Kim, J. Y., Park, H. J., Kim, J. W., Lee, J. H., Heo, S., Yoon, C. Y., and Cho, S. 2016. Development and validation of UPLC and LC-MS/MS methods for the simultaneous determination of anti-obesity drugs in foods and dietary supplements. Archives of Pharmacal Research, 39(1), 103–114. https://doi.org/10.1007/s12272-015-0665-9 Kumar, A., Bera, A., and Kumar, S. 2020. A Smartphone-Assisted Sensitive, Selective and Reversible Recognition of Copper Ions in an Aqueous Medium. ChemistrySelect, 5, 1020–1028.
  • Lin, B., Yu, Y., Cao, Y., Guo, M., Zhu, D., Dai, J., and Zheng, M. 2018. Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone. Biosensors and Bioelectronics, 100, 482–489.
  • MacEdo Dos Santos, P., Pereira-Filho, E. R. 2013. Digital image analysis-an alternative tool for monitoring milk authenticity. Analytical Methods, 5(15):3669–3674. Doi: https://doi.org/10.1039/c3ay40561c
  • Mahato, K., and Chandra, P. 2019. Paper-based miniaturized immunosensor for naked eye ALP detection based on digital image colorimetry integrated with smartphone. Biosensors and Bioelectronics, 128, 9–16. Masawat, P., Harfield, A., and Namwong, A. 2015. An iPhone-based digital image colorimeter for detecting tetracycline in milk. Food Chemistry, 184, 23–29.
  • Moonrungsee, N., Peamaroon, N., Boonmee, A., Suwancharoen, S., and Jakmunee, J. 2018. Evaluation of tyrosinase inhibitory activity in Salak (Salacca zalacca) extracts using the digital image-based colorimetric method. Chemical Papers, 72, 2729–2736.
  • Nasr, E. M., and Lai, C. W. 2017. Development and validation of a reverse phase-high performance liquid chromatography-ultraviolet method for simultaneous detection of caffeine and phenolphthalein ın weight reducing supplements. Malaysian Journal of Analytical Science, 21(3). https://doi.org/10.17576/mjas-2017-2103-10 Pessoa, K.D., Suarez, W.T., dos Reis, M.F., de Oliveira Krambeck Franco, M., Moreira, R.P.L., and dos Santos, V.B. 2017. A digital image method of spot tests for determination of copper in sugar cane spirits. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 185, 310–316.
  • Pohanka, M., Zakova, J., and Sedlacek, I. 2018. Digital camera-based lipase biosensor for the determination of paraoxon. Sensors and Actuators, B: Chemical, 273, 610–615.
  • Ravazzi, C.G., Krambeck Franco, M. de O., Vieira, M.C.R., and Suarez, W.T. 2018. Smartphone application for captopril determination in dosage forms and synthetic urine employing digital imaging. Talanta, 189, 339–344. Resque, I. S., dos Santos, V. B., Suarez, W. T. 2019. An environmentally friendly analytical approach based on spot tests and digital images to evaluate the conformity of bleaching products. Chemical Papers, 73(7):1659–1668. Doi: https://doi.org/10.1007/s11696-019-00717-w
  • Saeidnia, S., Manayi, A. 2014. Phenolphthalein. In Encyclopedia of Toxicology: Third Edition, Elsevier, pp. 877–880. Doi: https://doi.org/10.1016/B978-0-12-386454-3.01136-2
  • Sicard, C., Glen, C., Aubie, B., Wallace, D., Jahanshahi-Anbuhi, S., Pennings, K., Daigger, G.T., Pelton, R., Brennan, J.D., and Filipe, C.D.M. 2015. Tools for water quality monitoring and mapping using paper-based sensors and cell phones. Water Research, 70, 360–369.
  • Silva, A., Santos, L. H. M. L. M., Antão, C., Delerue-Matos, C., Figueiredo, S. A. 2017. Ecotoxicological evaluation of chemical indicator substances present as micropollutants in laboratory wastewaters. Global Nest Journal, 19(1):94–99. Doi: https://doi.org/10.30955/gnj.002051
  • Wang, D., Man, R., Shu, M., Liu, H., Gao, Y., and Luan, F. 2016. Detection of sibutramine and phenolphthalein in functional foods using capillary electrophoresis. Analytical Methods, 8(3), 621–626. https://doi.org/10.1039/c5ay02973b
  • Wang, Y., Zeinhom, M.M.A., Yang, M., Sun, R., Wang, S., Smith, J.N., Timchalk, C., Li, L., Lin, Y., and Du, D. 2017. A 3D-Printed, Portable, Optical-Sensing Platform for Smartphones Capable of Detecting the Herbicide 2,4-Dichlorophenoxyacetic Acid. Analytical Chemistry, 89, 9339–9346.
  • Wilhelm, J. A. L., Bailey, C., Shepard, T. A., and Venturella, V. S. Jul. 1992. Simultaneous determination of phenolphthalein and phenolphthalein glucuronide from dog serum, urine, and bile by high-performance liquid chromatography. J. Chromatogr. B Biomed. Sci. Appl., 578(2):231–238. Doi: 10.1016/0378-4347(92)80421-L.
  • Wilhelm, J. A., Bailey, L. C., Shepard, T. A., & Venturella, V. S. 1992. Simultaneous determination of phenolphthalein and phenolphthalein glucuronide from dog serum, urine and bile by high-performance liquid chromatography. Journal of Chromatography B: Biomedical Sciences and Applications, 578(2), 231–238. https://doi.org/10.1016/0378-4347(92)80421-L
  • Wongthanyakram, J., and Masawat, P. 2019. Rapid Low-Cost Determination of Lead(II) in Cassava by an iPod-Based Digital Imaging Colorimeter. Analytical Letters, 52, 550–561.
  • Zeng, Y., Xu, Y., Kee, C. L., Low, M. Y., and Ge, X. 2016. Analysis of 40 weight loss compounds adulterated in health supplements by liquid chromatography quadrupole linear ion trap mass spectrometry. Drug Testing and Analysis, 8(3–4), 351–356. https://doi.org/10.1002/dta.1846

İçme Sularında Fenolftalein Tayinine Yönelik Dijital Görüntüleme Temelli Kolorimetrik Analiz Yöntemi Geliştirilmesi

Year 2024, Volume: 14 Issue: 1, 70 - 79, 29.04.2024

Abstract

Bu çalışmada, fenolftaleinin içme suyu örneklerinde tayinine yönelik dijital görüntüleme kutusu temelli kolorimetrik analiz yöntemi geliştirilmiştir. Dijital görüntülemede algılayıcı olarak akıllı telefon kamerası kullanılmış, yazılım olarak ise "Color Detector" isimli uygulamadan yararlanılmıştır. İlk olarak analiz yöntemi üzerinde etkili olacağı değerlendirilen değişkenlere yönelik optimizasyon çalışması yapılmıştır. Bu amaçla, numunenin telefon lensine uzaklığı, numune üzerinde ölçüm alınacak konum, ölçüm konumundaki ölçek ve pH değerleri optimize edilmiştir. Daha sonra 0.5-5.0 ppm arasında farklı derişimlere sahip örneklerle analiz yapılmıştır. Analiz sonuçlarında 1-4 mg/L arasında lineerlik gözlenmiştir. Yöntem performansının belirlenmesine yönelik yapılan hesaplamalar sonucu tayin limiti (LOD) 0.58 mg/L ve yüzde bağıl standart sapma %0,28 (n=8) olarak bulunmuştur. Geliştirdiğimiz yöntemin gerçek numune ortamındaki performansının değerlendirilmesi amacıyla içme suyu örneğinde geri kazanım çalışması gerçekleştirilmiştir. Analizler sonucunda yüzde geri kazanım değerleri %99-%106 aralığında bulunmuştur. Bu değerler yöntemimizin içme suyu örneklerinde yüksek performans gösterdiğini ortaya koymaktadır.

Supporting Institution

TÜBİTAK 2209-A Üniversite Öğrencileri Araştırma Projeleri Destekleme Programı

Project Number

1919B012201439

Thanks

Çalışmamız TÜBİTAK 2209-A Üniversite Öğrencileri Araştırma Projeleri Destekleme Programı kapsamında desteklenmiştir.

References

  • Adewuyi, A., Oderinde R. A. 2022. Removal of phenolphthalein and methyl orange from laboratory wastewater using tetraethylammonium-modified kaolinite clay. Curr. Res. Green Sustain. Chem., vol. 5:(100320). Doi: 10.1016/J.CRGSC.2022.100320.
  • Barreto, J. A., dos Santos de Assis, R., Santos, L. B., Cassella, R. J., Lemos, V. A. 2020. Pressure variation in-syringe dispersive liquid-liquid microextraction associated with digital image colorimetry: Determination of cobalt in food samples. Microchemical Journal, 157:105064. Doi: https://doi.org/10.1016/j.microc.2020.105064
  • Choodum, A., Sriprom, W., and Wongniramaikul, W. 2019. Portable and selective colorimetric film and digital image colorimetry for the detection of iron. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 208, 40–47.
  • Devadhasan, J.P., Oh, H., Choi, C.S., and Kim, S. 2015. Whole blood glucose analysis based on the smartphone camera module. Journal of Biomedical Optics, 20, 117001.
  • Dunnick, J. K., Hailey, J. R. 1996. Phenolphthalein exposure causes multiple carcinogenic effects in experimental model systems. Cancer Research, 56(21): 4922–4926.
  • El Kaoutit, H., Estévez, P., García, F. C., Serna, F., and García, J. M. 2013. Sub-ppm quantification of Hg(ii) in aqueous media using both the naked eye and digital information from pictures of a colorimetric sensory polymer membrane taken with the digital camera of a conventional mobile phone. Analytical Methods, 5(1), 54–58. https://doi.org/10.1039/c2ay26307f
  • Fan, Y., Li, J., Guo, Y., Xie, L., Zhang, G. 2021. Digital image colorimetry on a smartphone for chemical analysis: A review. Measurement: Journal of the International Measurement Confederation, 171: 108829. Doi: https://doi.org/10.1016/j.measurement.2020.108829
  • Fang, F., Qi, Y., Lu, F., and Yang, L. 2016. Highly sensitive on-site detection of drugs adulterated in botanical dietary supplements using thin layer chromatography combined with dynamic surface enhanced Raman spectroscopy. Talanta, 146, 351–357. https://doi.org/10.1016/j.talanta.2015.08.067
  • Firdaus, M.L., Aprian, A., Meileza, N., Hitsmi, M., Elvia, R., Rahmidar, L., and Khaydarov, R. 2019. Smartphone coupled with a paper-based colorimetric device for sensitive and portable mercury ion sensing. Chemosensors, 7(2).
  • Geng, M., Yang, Y. J., and Hu, S. 2009. The voltammetric determination of phenolphthalein on multi-walled carbon nanotube-DHP composite film-modified glassy carbon electrode. Fullerenes Nanotubes and Carbon Nanostructures, 17(3), 285–297. https://doi.org/10.1080/15363830902779619
  • Guo et al .Z. May 2012. A highly sensitive electrochemiluminescence method combined with molecularly imprinted solid phase extraction for the determination of phenolphthalein in drug, slimming food, and human plasma. Food Chem., 132(2): 1092–1097. Doi: 10.1016/J.FOODCHEM.2011.11.056.
  • Guo, J., Wong, J.X.H., Cui, C., Li, X., and Yu, H.Z. 2015. A smartphone-readable barcode assay for the detection and quantitation of pesticide residues. Analyst, 140, 5518–5525.
  • Jain, R., Jha, R. R., Kumari, A., Khatri, I. 2021. Dispersive liquid-liquid microextraction combined with digital image colorimetry for paracetamol analysis. Microchemical Journal, 162: 105870. Doi: https://doi.org/10.1016/j.microc.2020.105870 Kim, J. Y., Park, H. J., Kim, J. W., Lee, J. H., Heo, S., Yoon, C. Y., and Cho, S. 2016. Development and validation of UPLC and LC-MS/MS methods for the simultaneous determination of anti-obesity drugs in foods and dietary supplements. Archives of Pharmacal Research, 39(1), 103–114. https://doi.org/10.1007/s12272-015-0665-9 Kumar, A., Bera, A., and Kumar, S. 2020. A Smartphone-Assisted Sensitive, Selective and Reversible Recognition of Copper Ions in an Aqueous Medium. ChemistrySelect, 5, 1020–1028.
  • Lin, B., Yu, Y., Cao, Y., Guo, M., Zhu, D., Dai, J., and Zheng, M. 2018. Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone. Biosensors and Bioelectronics, 100, 482–489.
  • MacEdo Dos Santos, P., Pereira-Filho, E. R. 2013. Digital image analysis-an alternative tool for monitoring milk authenticity. Analytical Methods, 5(15):3669–3674. Doi: https://doi.org/10.1039/c3ay40561c
  • Mahato, K., and Chandra, P. 2019. Paper-based miniaturized immunosensor for naked eye ALP detection based on digital image colorimetry integrated with smartphone. Biosensors and Bioelectronics, 128, 9–16. Masawat, P., Harfield, A., and Namwong, A. 2015. An iPhone-based digital image colorimeter for detecting tetracycline in milk. Food Chemistry, 184, 23–29.
  • Moonrungsee, N., Peamaroon, N., Boonmee, A., Suwancharoen, S., and Jakmunee, J. 2018. Evaluation of tyrosinase inhibitory activity in Salak (Salacca zalacca) extracts using the digital image-based colorimetric method. Chemical Papers, 72, 2729–2736.
  • Nasr, E. M., and Lai, C. W. 2017. Development and validation of a reverse phase-high performance liquid chromatography-ultraviolet method for simultaneous detection of caffeine and phenolphthalein ın weight reducing supplements. Malaysian Journal of Analytical Science, 21(3). https://doi.org/10.17576/mjas-2017-2103-10 Pessoa, K.D., Suarez, W.T., dos Reis, M.F., de Oliveira Krambeck Franco, M., Moreira, R.P.L., and dos Santos, V.B. 2017. A digital image method of spot tests for determination of copper in sugar cane spirits. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 185, 310–316.
  • Pohanka, M., Zakova, J., and Sedlacek, I. 2018. Digital camera-based lipase biosensor for the determination of paraoxon. Sensors and Actuators, B: Chemical, 273, 610–615.
  • Ravazzi, C.G., Krambeck Franco, M. de O., Vieira, M.C.R., and Suarez, W.T. 2018. Smartphone application for captopril determination in dosage forms and synthetic urine employing digital imaging. Talanta, 189, 339–344. Resque, I. S., dos Santos, V. B., Suarez, W. T. 2019. An environmentally friendly analytical approach based on spot tests and digital images to evaluate the conformity of bleaching products. Chemical Papers, 73(7):1659–1668. Doi: https://doi.org/10.1007/s11696-019-00717-w
  • Saeidnia, S., Manayi, A. 2014. Phenolphthalein. In Encyclopedia of Toxicology: Third Edition, Elsevier, pp. 877–880. Doi: https://doi.org/10.1016/B978-0-12-386454-3.01136-2
  • Sicard, C., Glen, C., Aubie, B., Wallace, D., Jahanshahi-Anbuhi, S., Pennings, K., Daigger, G.T., Pelton, R., Brennan, J.D., and Filipe, C.D.M. 2015. Tools for water quality monitoring and mapping using paper-based sensors and cell phones. Water Research, 70, 360–369.
  • Silva, A., Santos, L. H. M. L. M., Antão, C., Delerue-Matos, C., Figueiredo, S. A. 2017. Ecotoxicological evaluation of chemical indicator substances present as micropollutants in laboratory wastewaters. Global Nest Journal, 19(1):94–99. Doi: https://doi.org/10.30955/gnj.002051
  • Wang, D., Man, R., Shu, M., Liu, H., Gao, Y., and Luan, F. 2016. Detection of sibutramine and phenolphthalein in functional foods using capillary electrophoresis. Analytical Methods, 8(3), 621–626. https://doi.org/10.1039/c5ay02973b
  • Wang, Y., Zeinhom, M.M.A., Yang, M., Sun, R., Wang, S., Smith, J.N., Timchalk, C., Li, L., Lin, Y., and Du, D. 2017. A 3D-Printed, Portable, Optical-Sensing Platform for Smartphones Capable of Detecting the Herbicide 2,4-Dichlorophenoxyacetic Acid. Analytical Chemistry, 89, 9339–9346.
  • Wilhelm, J. A. L., Bailey, C., Shepard, T. A., and Venturella, V. S. Jul. 1992. Simultaneous determination of phenolphthalein and phenolphthalein glucuronide from dog serum, urine, and bile by high-performance liquid chromatography. J. Chromatogr. B Biomed. Sci. Appl., 578(2):231–238. Doi: 10.1016/0378-4347(92)80421-L.
  • Wilhelm, J. A., Bailey, L. C., Shepard, T. A., & Venturella, V. S. 1992. Simultaneous determination of phenolphthalein and phenolphthalein glucuronide from dog serum, urine and bile by high-performance liquid chromatography. Journal of Chromatography B: Biomedical Sciences and Applications, 578(2), 231–238. https://doi.org/10.1016/0378-4347(92)80421-L
  • Wongthanyakram, J., and Masawat, P. 2019. Rapid Low-Cost Determination of Lead(II) in Cassava by an iPod-Based Digital Imaging Colorimeter. Analytical Letters, 52, 550–561.
  • Zeng, Y., Xu, Y., Kee, C. L., Low, M. Y., and Ge, X. 2016. Analysis of 40 weight loss compounds adulterated in health supplements by liquid chromatography quadrupole linear ion trap mass spectrometry. Drug Testing and Analysis, 8(3–4), 351–356. https://doi.org/10.1002/dta.1846
There are 29 citations in total.

Details

Primary Language English
Subjects Instrumental Methods
Journal Section Research Articles
Authors

Nihal Yücel 0009-0002-0197-3579

Ozan Yağmuroğlu 0000-0002-4703-6313

Project Number 1919B012201439
Publication Date April 29, 2024
Submission Date February 19, 2024
Acceptance Date April 15, 2024
Published in Issue Year 2024 Volume: 14 Issue: 1

Cite

APA Yücel, N., & Yağmuroğlu, O. (2024). Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water. Karaelmas Fen Ve Mühendislik Dergisi, 14(1), 70-79.
AMA Yücel N, Yağmuroğlu O. Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water. Karaelmas Fen ve Mühendislik Dergisi. April 2024;14(1):70-79.
Chicago Yücel, Nihal, and Ozan Yağmuroğlu. “Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water”. Karaelmas Fen Ve Mühendislik Dergisi 14, no. 1 (April 2024): 70-79.
EndNote Yücel N, Yağmuroğlu O (April 1, 2024) Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water. Karaelmas Fen ve Mühendislik Dergisi 14 1 70–79.
IEEE N. Yücel and O. Yağmuroğlu, “Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water”, Karaelmas Fen ve Mühendislik Dergisi, vol. 14, no. 1, pp. 70–79, 2024.
ISNAD Yücel, Nihal - Yağmuroğlu, Ozan. “Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water”. Karaelmas Fen ve Mühendislik Dergisi 14/1 (April 2024), 70-79.
JAMA Yücel N, Yağmuroğlu O. Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water. Karaelmas Fen ve Mühendislik Dergisi. 2024;14:70–79.
MLA Yücel, Nihal and Ozan Yağmuroğlu. “Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water”. Karaelmas Fen Ve Mühendislik Dergisi, vol. 14, no. 1, 2024, pp. 70-79.
Vancouver Yücel N, Yağmuroğlu O. Development of a Digital Imaging-Based Colorimetric Analysis Method for the Determination of Phenolphthalein in Drinking Water. Karaelmas Fen ve Mühendislik Dergisi. 2024;14(1):70-9.