Machine Learning-Based Modeling of Methyl Blue Adsorptive Removal from Aqueous Solutions with Lignin

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dc.authorid0000-0002-1748-9354
dc.authorid0000-0001-5633-6505
dc.contributor.authorBayram, Okan
dc.contributor.authorOzkan, Ugur
dc.contributor.authorKardes, Serkan
dc.contributor.authorSahin, Halil Turgut
dc.date.accessioned2026-02-08T15:14:50Z
dc.date.available2026-02-08T15:14:50Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractDyes are chemical compounds extensively utilized in numerous industries such as textile, paper, leather, and cosmetics. These substances can cause serious environmental problems by mixing into wastewater during production processes. Methyl blue (MB), which is an anionic dye, has a wide range of applications and poses serious ecological and health risks if discharged untreated into water bodies. In this study, the adsorption process of MB removal using lignin was explained by examining the parameters of temperature, contact time, pH, initial MB dye concentration and initial lignin amount. In addition, lignin was characterized by FT-IR, SEM-EDS, XRD, Zeta potential, DSC, and BET. Then, the results obtained by artificial neural networks (ANN) and support vector regression (SVR) methods were modeled. The analysis revealed that the process is endothermic, follows a pseudo-second-order (PSO) kinetic model, and conforms to the Langmuir isotherm model, with a maximum adsorption capacity (q(max)) of 175.439 +/- 8.772 mg/g, R-2 = 96.200% for ANN and R-2 = 93.500% for SVR. The results obtained showed that lignin can be used for MB removal and that it would be suitable for use in machine learning algorithms.
dc.identifier.doi10.1002/slct.202501609
dc.identifier.issn2365-6549
dc.identifier.issue38
dc.identifier.scopus2-s2.0-105018641856
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1002/slct.202501609
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5464
dc.identifier.volume10
dc.identifier.wosWOS:001589990400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley-V C H Verlag Gmbh
dc.relation.ispartofChemistryselect
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectAdsorption
dc.subjectAnionic dye
dc.subjectANN
dc.subjectLignin
dc.subjectMethyl blue
dc.subjectSVR
dc.titleMachine Learning-Based Modeling of Methyl Blue Adsorptive Removal from Aqueous Solutions with Lignin
dc.typeArticle

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