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新型环保海石竹生物炭-铁氧体复合材料去除有毒结晶紫染料:吸附等温线、动力学及人工神经网络

Toxic crystal violet dye removal by novel, eco-friendly seablite biochar-ferrite composite: adsorption isotherm, kinetics, and artificial neural network.

作者信息

Mehta Disha, Dave Pragnesh N, Kumar V Vijay

机构信息

Department of Chemistry, Sardar Patel University Vallabh Vidyanagar 388 120 Gujarat India

Gujarat Institute of Desert Ecology Bhuj-370 001 Gujarat India.

出版信息

RSC Adv. 2025 Sep 12;15(40):33189-33208. doi: 10.1039/d5ra04604a. eCollection 2025 Sep 11.

DOI:10.1039/d5ra04604a
PMID:40949867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12426756/
Abstract

Rising water demand has intensified pollution and created an urgent need for efficient treatment methods. Adsorption is a green and low-cost approach, yet conventional adsorbents often face sustainability and regeneration challenges. In this study, a novel adsorbent was developed by pyrolyzing leaf powder (LP) into biochar (BC300), followed by base treatment and coprecipitation with NiCuZnFeO spinel to form a ferrite-biochar composite (FCOB). FCOB effectively removed Crystal Violet (CV) dye from aqueous solution. FE-SEM images revealed a layered morphology, while FTIR analysis confirmed multiple adsorption mechanisms, including hydrogen bonding, electrostatic attraction, surface complexation, and pore filling for CV adsorption. Optimization studies showed maximum CV removal at pH 8 with a 30 mg FCOB dose, maintaining >95% removal up to 200 mg L dye concentration. For higher concentrations, 150, 250 mg L, the equilibrium time was 120 min. The Langmuir model indicated monolayer adsorption with a maximum capacity ( ) of 325.5 mg g at 30 °C, whereas the Dubinin-Radushkevich (D-R) model ( < 8 kJ mol) suggested physical adsorption. Kinetic analysis revealed that the pseudo-second-order (PSO) model best described the process, indicating the chemical nature of CV adsorption onto FCOB, while the Elovich model provided a better fit at higher concentrations, reflecting surface heterogeneity. Thermodynamic parameters confirmed that CV adsorption was spontaneous and endothermic (Δ° = 49.03 kJ mol). FCOB retained >275 mg g capacity after five regeneration cycles, demonstrating good reusability. Artificial neural network (ANN) modeling reliably predicted adsorption performance ( > 0.99) using pH, dye concentration, dose, time, and temperature as inputs. These findings highlight FCOB as an economical, eco-friendly, and scalable adsorbent for dye removal from wastewater.

摘要

不断增长的用水需求加剧了污染,迫切需要高效的处理方法。吸附是一种绿色且低成本的方法,但传统吸附剂往往面临可持续性和再生挑战。在本研究中,通过将叶粉(LP)热解为生物炭(BC300),随后进行碱处理并与NiCuZnFeO尖晶石共沉淀,制备出一种新型吸附剂,形成铁氧体-生物炭复合材料(FCOB)。FCOB能有效去除水溶液中的结晶紫(CV)染料。场发射扫描电子显微镜(FE-SEM)图像显示出层状形态,而傅里叶变换红外光谱(FTIR)分析证实了多种吸附机制,包括氢键、静电吸引、表面络合以及用于CV吸附的孔隙填充。优化研究表明,在pH为8、FCOB剂量为30 mg时,CV去除率最高,在染料浓度高达200 mg/L时,去除率保持>95%。对于更高浓度,即150、250 mg/L,平衡时间为120 min。朗缪尔模型表明在30℃下为单层吸附,最大吸附容量( )为325.5 mg/g,而杜宾宁-拉杜舍维奇(D-R)模型( < 8 kJ/mol)表明为物理吸附。动力学分析表明,准二级(PSO)模型最能描述该过程,表明CV吸附到FCOB上的化学性质,而埃洛维奇模型在较高浓度下拟合效果更好,反映了表面非均质性。热力学参数证实,CV吸附是自发的且吸热的(Δ° = 49.03 kJ/mol)。经过五个再生循环后,FCOB的吸附容量保持>275 mg/g,显示出良好的可重复使用性。人工神经网络(ANN)建模使用pH、染料浓度、剂量、时间和温度作为输入,可靠地预测了吸附性能( > 0.99)。这些发现突出了FCOB作为一种经济、环保且可扩展的吸附剂用于从废水中去除染料的特性。

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