High-efficiency removal of Rhodamine B using modified biochar from agricultural waste pine nut shell: investigation of kinetics, isotherms, and artificial neural network modeling

被引:0
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作者
Eroglu, Handan Atalay [1 ]
Kadioglu, Elif Nihan [1 ]
Akbal, Feryal [1 ]
机构
[1] Ondokuz Mayis Univ, Engn Fac, Environm Engn Dept, TR-55139 Samsun, Turkiye
关键词
Artificial neural network; Modified biochar; Pine nut shell; Rhodamine B; Adsorption; NAOH-ACTIVATED CARBON; METHYLENE-BLUE; ADSORPTION; NANOPARTICLES; OPTIMIZATION; ADSORBENT; GREEN;
D O I
10.1007/s13399-024-06045-8
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This 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.
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页数:14
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