Experimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar

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dc.contributor.authorKaya, Nihan
dc.contributor.authorUzun, Zeynep Yildiz
dc.date.accessioned2025-03-23T19:42:18Z
dc.date.available2025-03-23T19:42:18Z
dc.date.issued2024
dc.departmentSinop Üniversitesi
dc.description.abstractThis study was carried out to evaluate the potential application of pine cone (PC)-derived activated biochar which has a surface area of 1714.5 m(2)/g for bromocresol green (BCG) dye removal from aqueous solution. Batch adsorption experiments involved varying pH, temperature, contact time, adsorbent dosage, and initial dye concentrations and the maximum BCG removal (96.27%) occurred at pH: 2.0, T: 45 degrees C, m: 2 g/L, t: 15 min., and C-o: 25 mg/L. To study the characteristics of adsorption, the adsorption kinetic isotherm and thermodynamic parameters were employed. The experimental data was evaluated to fit well with the Temkin isotherm (R-2=0.99) and the adsorption process followed pseudo-first-order kinetics (R-2=0.96). Thermodynamic parameters obtained from the adsorptive uptake showed that the interaction was endothermic and spontaneous in nature. The regenerated activated PC biochar showed good performance (95.0%), even, after 4th regeneration. To predict the BCG adsorption capacity of activated PC biochar, many different artificial neural network (ANN) models have been developed. The optimal ANN model gave mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE), and R-2 values of 0.036, 0.578, 0.947, and 0.999, respectively. The results obtained showed that ANN can be used to effectively model the BCG adsorption process.
dc.description.sponsorshipThe authors would like to thank Hitit University for its support and also would like to thank to Assoc. Prof. Dr. Yunus Onal for his support in the preparation of activated biochar product.
dc.identifier.doi10.1007/s13399-024-05441-4
dc.identifier.endpage30691
dc.identifier.issn2190-6815
dc.identifier.issn2190-6823
dc.identifier.issue23
dc.identifier.scopus2-s2.0-85186175142
dc.identifier.scopusqualityQ2
dc.identifier.startpage30667
dc.identifier.urihttps://doi.org/10.1007/s13399-024-05441-4
dc.identifier.urihttps://hdl.handle.net/11486/6758
dc.identifier.volume14
dc.identifier.wosWOS:001172611600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofBiomass Conversion and Biorefinery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectArtificial neural network
dc.subjectBromocresol green
dc.subjectPine cone
dc.subjectActivated biochar
dc.subjectPyrolysis
dc.subjectAdsorption
dc.titleExperimental and modeling studies on the removal of bromocresol green from aqueous solutions by using pine cone-derived activated biochar
dc.typeArticle

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