Publication:
High-Efficiency Removal of Rhodamine B Using Modified Biochar from Agricultural Waste Pine Nut Shell: Investigation of Kinetics, Isotherms, and Artificial Neural Network Modeling

dc.authorscopusid57830207600
dc.authorscopusid58923609400
dc.authorscopusid9239686500
dc.authorwosidAkbal, Feryal/Abi-1208-2022
dc.authorwosidAtalay Eroğlu, Handan/Lrb-8975-2024
dc.authorwosidAtalay Eroğlu, Handan/Lrb-8975-2024
dc.authorwosidKadioğlu, Eli̇f Ni̇han/Mbw-2544-2025
dc.contributor.authorEroglu, Handan Atalay
dc.contributor.authorKadioglu, Elif Nihan
dc.contributor.authorAkbal, Feryal
dc.contributor.authorIDAtalay Eroğlu, Handan/0000-0001-5707-9336
dc.contributor.authorIDKadioğlu, Eli̇f Ni̇han/0000-0002-0550-1803
dc.date.accessioned2025-12-11T01:18:06Z
dc.date.issued2025
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Eroglu, Handan Atalay; Kadioglu, Elif Nihan; Akbal, Feryal] Ondokuz Mayis Univ, Engn Fac, Environm Engn Dept, TR-55139 Samsun, Turkiyeen_US
dc.descriptionAtalay Eroğlu, Handan/0000-0001-5707-9336; Kadioğlu, Eli̇f Ni̇han/0000-0002-0550-1803;en_US
dc.description.abstractThis study investigated the efficacy of modified biochar derived from pine nut shells (MPNBC) in removing Rhodamine B (RhB) through adsorption. The objective was to eliminate RhB from aqueous systems by employing agricultural wastes as an adsorbent. MPNBC was characterized using SEM, TGA, XRD, BET, and FTIR analyses, revealing a significant BET surface area favorable for RhB adsorption. The study unveiled an average RhB adsorption capacity of 110.68 mg/g and an average BET surface area of 1280.189 m2/g. The adsorbent exhibited the capacity to remove RhB dye with high efficiency; almost 100% elimination is achieved in experiments performed under optimal conditions with an initial dye concentration of 10 mg/L at pH 3.0 with an adsorbent dosage of 0.5 g/L. Kinetic modeling revealed good fits to pseudo-first-order, pseudo-second-order, and Elovich models. Equilibrium isotherms were also well described by Freundlich, Langmuir, Temkin, Redlich-Peterson, and Khan models, with high correlation coefficients. Additionally, an artificial neural network (ANN) model effectively optimized the adsorption parameters, with predicted values closely matching the experimental data. The ANN model yielded excellent statistical performance, with a root-mean-square error (RMSE) of 0.9985 and a coefficient of determination (R2) of 0.983. Overall, the adsorbent exhibited excellent adsorption capabilities for the azo dye under study.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1007/s13399-024-06045-8
dc.identifier.endpage12150en_US
dc.identifier.issn2190-6815
dc.identifier.issn2190-6823
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85202060829
dc.identifier.scopusqualityQ2
dc.identifier.startpage12137en_US
dc.identifier.urihttps://doi.org/10.1007/s13399-024-06045-8
dc.identifier.urihttps://hdl.handle.net/20.500.12712/42694
dc.identifier.volume15en_US
dc.identifier.wosWOS:001298727400003
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofBiomass Conversion and Biorefineryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectModified Biocharen_US
dc.subjectPine Nut Shellen_US
dc.subjectRhodamine Ben_US
dc.subjectAdsorptionen_US
dc.titleHigh-Efficiency Removal of Rhodamine B Using Modified Biochar from Agricultural Waste Pine Nut Shell: Investigation of Kinetics, Isotherms, and Artificial Neural Network Modelingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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