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Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi

Year 2025, Volume: 41 Issue: 1, 1 - 19, 30.04.2025

Alper Solmaz , Efdal Kaya , Talip Turna , Zeynel Abidin Sarı , İbrahim Uyanık , Mesut Karta , Ayşegül Yücel

Abstract

Bu çalışmada R programlama dili içerisinde yer alan kütüphaneler kullanılarak makine öğrenmesi temelli bir web tabanlı yazılım geliştirilmiştir. Yazılım makine öğrenmesi algoritmalarından lineer regresyon analizine olanak tanırken aynı zamanda adsorbsiyon uygulamalarında sıklıkla kullanılan Pseudo first order ve Pseudo second order kinetik modelleri ile Freundlich, Langmuir ve Temkin izoterm modellerinin kullanımına izin vermektedir. Geliştirilen yazılımın ilk versiyonu olan Adsorb 1.0 içerisinde yazılımın testi için aktif karbon (AC) ile Crystal Violet (CV) boyasının sulu çözeltisinin kesikli adsorbsiyon testlerinin sonuçları kullanılmıştır. Ayrıca scanning electron microscope (SEM) ve energy dispersive X-ray (EDX) ve fourier dönüşümlü kızılötesi (FTIR) analizleri yapılarak adsorbsiyon prosesi desteklenmiştir. Kesikli adsorbsiyon testlerinde başlangıç pH’ının (2-10) başlangıç boya derişiminin (5,0-1000 mg/L), değişken adsorbent miktarının (12,5-2000 mg), temas süresinin (0-60 dk) ve sıcaklığın (25, 35 ve 45 0C) etkisi araştırılmıştır. Geliştirilen yazılımdan elde edilen sonuçlara göre AC üzerine CV boyasının gideriminde en uygun kinetik ve izoterm modeller sırasıyla Pseudo second order (R2:1) ve Langmuir olduğu tespit edilmiş, ayrıca birim AC başına giderilen CV boyası miktarı ise 223,73mgCV/gAC olarak hesaplanmıştır. Geliştirilen yazılım MS-Excel’deki karmaşık formüllerle yapılan hesapların ve birbirine bağlı köprüler arasındaki olası hataların ortadan kaldırılmasına sağlamıştır. Adsorb 1.0 yazılımına “https://iste.shinyapps.io/Adsorb/” adresinden üzerinden erişilebilmektedir.

Keywords

Adsorbsiyon Makine öğrenmesi Yazılım Aktif karbon Crystal Violet

Supporting Institution

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)

Project Number

TÜBİTAK 123Y087

Thanks

Bu çalışma Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK) tarafından 123Y087 Hibe Numarası ile desteklenmiştir. Yazarlar desteklerinden dolayı TÜBİTAK'a teşekkür ederler.

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Developing Machine Learning Supported Web-Based Software for Adsorption Application and Testing it in Crystal Violet Dye Removal

Year 2025, Volume: 41 Issue: 1, 1 - 19, 30.04.2025

Alper Solmaz , Efdal Kaya , Talip Turna , Zeynel Abidin Sarı , İbrahim Uyanık , Mesut Karta , Ayşegül Yücel

Abstract

In this study, a web-based software based on machine learning was developed using libraries in the R programming language. While the software allows linear regression analysis from machine learning algorithms, it also allows the use of Pseudo first order and Pseudo second order kinetic models and Freundlich, Langmuir and Temkin isotherm models, which are frequently used in adsorption applications. In Adsorb 1.0, the first version of the developed software, the results of batch adsorption tests of activated carbon (AC) and aqueous solution of Crystal Violet (CV) dye were used to test the software. Additionally, the adsorption process was supported by scanning electron microscope (SEM), energy dispersive X-ray (EDX) and Fourier Transform Infrared (FTIR) analyses. In batch adsorption tests, initial pH (2-10), initial dye concentration (5.0-1000 mg/L), variable adsorbent amount (12.5-2000 mg), contact time (0-60 min) and temperature (25 min). , 35 and 45 0C) effects were investigated. According to the results obtained from the developed software, the most suitable kinetic and isotherm models for the removal of CV dye on AC were determined to be Pseudo second order (R2:1) and Langmuir, respectively, and the amount of CV dye removed per unit AC was calculated as 223.73mgCV/gAC. The developed software enabled the elimination of calculations made with complex formulas in MS-Excel and possible errors between interconnected bridges. Adsorb 1.0 software can be accessed at “https://iste.shinyapps.io/Adsorb/”.

Keywords

Adsorption Machine learning Software Activated carbon Crystal Violet

Project Number

TÜBİTAK 123Y087

References

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  • A.K. Surela, L.K. Chhachhia, V.K. Surela, P.L. Meena, Polypyrrole-Based Composites for Dyes Removal From Contaminated Water, in: Reference Module in Materials Science and Materials Engineering, Elsevier, 2024. https://doi.org/10.1016/B978-0-323-95486-0.00019-3.
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  • J.N. Wekoye, W.C. Wanyonyi, P.T. Wangila, M.K. Tonui, Kinetic and equilibrium studies of Congo red dye adsorption on cabbage waste powder, Environmental Chemistry and Ecotoxicology 2 (2020) 24–31. https://doi.org/10.1016/j.enceco.2020.01.004.
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  • H.M. Ali, S.F. Shehata, K.M.A. Ramadan, Microbial decolorization and degradation of crystal violet dye by Aspergillus niger, International Journal of Environmental Science and Technology 13 (2016) 2917–2926. https://doi.org/10.1007/s13762-016-1117-x.
  • K. Vikrant, B.S. Giri, N. Raza, K. Roy, K.-H. Kim, B.N. Rai, R.S. Singh, Recent advancements in bioremediation of dye: Current status and challenges, Bioresour Technol 253 (2018) 355–367. https://doi.org/10.1016/j.biortech.2018.01.029.
  • B. Lellis, C.Z. Fávaro-Polonio, J.A. Pamphile, J.C. Polonio, Effects of textile dyes on health and the environment and bioremediation potential of living organisms, Biotechnology Research and Innovation 3 (2019) 275–290. https://doi.org/10.1016/J.BIORI.2019.09.001.
  • S. Rahimi, A. Poormohammadi, B. Salmani, M. Ahmadian, M. Rezaei, Comparing the photocatalytic process efficiency using batch and tubular reactors in removal of methylene blue dye and COD from simulated textile wastewater, Journal of Water Reuse and Desalination 6 (2016) 574–582. https://doi.org/10.2166/wrd.2016.190.
  • V. Katheresan, J. Kansedo, S.Y. Lau, Efficiency of various recent wastewater dye removal methods: A review, J Environ Chem Eng 6 (2018) 4676–4697. https://doi.org/10.1016/j.jece.2018.06.060.
  • H. Liu, J. Zhang, M. Lu, L. Liang, H. Zhang, J. Wei, Biosynthesis based membrane filtration coupled with iron nanoparticles reduction process in removal of dyes, Chemical Engineering Journal 387 (2020) 124202. https://doi.org/10.1016/j.cej.2020.124202.
  • E. Brillas, C.A. Martínez-Huitle, Decontamination of wastewaters containing synthetic organic dyes by electrochemical methods. An updated review, Appl Catal B 166–167 (2015) 603–643. https://doi.org/10.1016/j.apcatb.2014.11.016.
  • J.M. Sánchez-Silva, A. Aguilar-Aguilar, G.J. Labrada-Delgado, E.G. Villabona-Leal, H.J. Ojeda-Galván, J.L. Sánchez-García, H. Collins-Martínez, MV. López-Ramón, R. Ocampo-Pérez, Hydrothermal synthesis of a photocatalyst based on Byrsonima crassifolia and TiO2 for degradation of crystal violet by UV and visible radiation, Environ Res 231 (2023) 116280. https://doi.org/10.1016/j.envres.2023.116280.
  • E. Hosseini Koupaie, M.R. Alavi Moghaddam, S.H. Hashemi, Post-treatment of anaerobically degraded azo dye Acid Red 18 using aerobic moving bed biofilm process: Enhanced removal of aromatic amines, J Hazard Mater 195 (2011) 147–154. https://doi.org/10.1016/j.jhazmat.2011.08.017.
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There are 54 citations in total.

Details

Primary Language Turkish
Subjects Environmental Management (Other)
Journal Section Articles
Authors

Alper Solmaz 0000-0001-6928-3289

Efdal Kaya 0000-0002-5553-0143

Talip Turna 0000-0001-6318-7245

Zeynel Abidin Sarı 0000-0001-5932-2141

İbrahim Uyanık 0000-0003-4850-6708

Mesut Karta

Ayşegül Yücel 0000-0001-7069-7518

Project Number TÜBİTAK 123Y087
Publication Date April 30, 2025
Submission Date June 25, 2024
Acceptance Date April 24, 2025
Published in Issue Year 2025 Volume: 41 Issue: 1

Cite

APA Solmaz, A., Kaya, E., Turna, T., Sarı, Z. A., et al. (2025). Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 41(1), 1-19.
AMA Solmaz A, Kaya E, Turna T, Sarı ZA, Uyanık İ, Karta M, Yücel A. Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. April 2025;41(1):1-19.
Chicago Solmaz, Alper, Efdal Kaya, Talip Turna, Zeynel Abidin Sarı, İbrahim Uyanık, Mesut Karta, and Ayşegül Yücel. “Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 41, no. 1 (April 2025): 1-19.
EndNote Solmaz A, Kaya E, Turna T, Sarı ZA, Uyanık İ, Karta M, Yücel A (April 1, 2025) Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 41 1 1–19.
IEEE A. Solmaz, E. Kaya, T. Turna, Z. A. Sarı, İ. Uyanık, M. Karta, and A. Yücel, “Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi”, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, vol. 41, no. 1, pp. 1–19, 2025.
ISNAD Solmaz, Alper et al. “Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 41/1 (April 2025), 1-19.
JAMA Solmaz A, Kaya E, Turna T, Sarı ZA, Uyanık İ, Karta M, Yücel A. Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2025;41:1–19.
MLA Solmaz, Alper et al. “Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, vol. 41, no. 1, 2025, pp. 1-19.
Vancouver Solmaz A, Kaya E, Turna T, Sarı ZA, Uyanık İ, Karta M, Yücel A. Adsorbsiyon Uygulaması İçin Makine Öğrenmesi Destekli Web Tabanlı Yazılım Geliştirilerek Crystal Violet Boyası Giderimde Test Edilmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2025;41(1):1-19.
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