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响应面法优化用过的咖啡渣生物炭对亚甲基蓝的吸附参数。

Adsorption parameters optimization of spent coffee ground biochar for methylene blue removal using response surface methodology.

机构信息

Faculty of Defence Science and Technology, National Defence University of Malaysia, Kuala Lumpur, Malaysia.

School of Distance Education, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.

出版信息

Chemosphere. 2024 Sep;364:143242. doi: 10.1016/j.chemosphere.2024.143242. Epub 2024 Sep 2.

DOI:10.1016/j.chemosphere.2024.143242
PMID:39233300
Abstract

This study investigates the potential of spent coffee ground biochar (SCGB) as a sustainable and cost-effective adsorbent for the removal of methylene blue (MB), a hazardous dye commonly used in the textile and printing industries. A response surface methodology (RSM) approach with central composite design (CCD) was employed to systematically investigate the effects of key process parameters, including adsorbent dosage, solution pH, contact time and temperature, on MB removal efficiency. The analysis revealed that adsorbent dosage and temperature as critical factors influencing MB removal, with a linear model providing a strong correlation. Optimal conditions for MB removal were determined to be 0.99 g of SCGB, 30 min of contact time, 30 °C temperature, and a solution pH of 7. Under these conditions, MB removal reached 99.99%, with a desirability of 1.000. The experimental results closely matched the predicted values, differing by only 0.02%, thus validating the accuracy of the model. Kinetic studies indicated a rapid adsorption process, well-described by both pseudo-first and pseudo-second order models. Isotherm analysis confirmed the applicability of the Freundlich model, suggesting favorable adsorption with increasing MB concentration. The high adsorption capacity of SCGB is attributed to its carbonaceous and porous structure, highlighting its potential as an effective adsorbent for dye removal in wastewater treatment applications.

摘要

本研究旨在探讨废咖啡渣生物炭(SCGB)作为一种可持续且具有成本效益的吸附剂,用于去除亚甲基蓝(MB)的潜力。采用中心复合设计(CCD)的响应面方法(RSM)系统地研究了吸附剂用量、溶液 pH、接触时间和温度等关键工艺参数对 MB 去除效率的影响。分析表明,吸附剂用量和温度是影响 MB 去除的关键因素,线性模型具有很强的相关性。确定 MB 去除的最佳条件为 0.99 g 的 SCGB、30 min 的接触时间、30°C 的温度和 7 的溶液 pH。在此条件下,MB 的去除率达到 99.99%,理想度为 1.000。实验结果与预测值非常吻合,仅相差 0.02%,从而验证了模型的准确性。动力学研究表明,吸附过程很快,同时符合伪一级和伪二级动力学模型。等温线分析证实了 Freundlich 模型的适用性,表明随着 MB 浓度的增加,吸附是有利的。SCGB 具有高吸附容量,这归因于其碳质和多孔结构,突出了其在废水处理应用中作为去除染料的有效吸附剂的潜力。

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