不同来源稻壳对亚甲基蓝和碱性红9吸附性能的比较研究

IF 4.6 Q2 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Recycling Pub Date : 2023-09-27 DOI:10.3390/recycling8050074
Hadid Sukmana, Etelka Tombácz, Gergő Ballai, Gábor Kozma, Zoltán Kónya, Cecilia Hodúr
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引用次数: 0

摘要

亚甲基蓝(MB)和碱性红9 (BR9)是染料工业中常用的阳离子染料,对人类和其他生物产生负面影响。本研究比较了印度尼西亚稻壳(IRH)和匈牙利稻壳(HRH)作为生物吸附剂去除水溶液中MB和BR9的性能。利用化学含量、zeta电位和傅里叶变换红外光谱对稻壳进行了表征。通过对pH、吸附剂剂量、初始染料浓度、接触时间、温度等参数进行批量吸附实验,观察MB和BR9的自缔合(聚集)。吸附动力学研究表明,在接触时间为120 min时,对染料的去除率达到最大。MB和BR9的吸附符合准二级动力学模型,BET多层等温线模型更符合MB和BR9的吸附实验数据。IRH对MB的吸附量为15.0 mg/g,对BR9的吸附量为7.2 mg/g, HRH对MB的吸附量为24.4 mg/g,对BR9的吸附量为8.3 mg/g。因此,这些RHs是去除水溶液中MB和BR9的潜在生物吸附剂。
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Comparative Study of Adsorption of Methylene Blue and Basic Red 9 Using Rice Husks of Different Origins
Methylene blue (MB) and basic red 9 (BR9) are cationic dyes that are commonly used in the dye industry and negatively affect humans and other living organisms. This study compares the performance of Indonesian rice husk (IRH) and Hungarian rice husk (HRH) as bio-adsorbents for removing MB and BR9 from aqueous solutions. Chemical content, zeta potential, and Fourier-transform infrared spectroscopy analyses were used to characterize the rice husks (RHs). Adsorption studies were performed through batch experiments involving several parameters, namely, pH, adsorbent dose, initial dye concentration, contact time, and temperature to observe the self-association (aggregation) of MB and BR9. Adsorption kinetic studies showed that maximum dye removal was achieved at a contact time of 120 min. MB and BR9 adsorption followed a pseudo-second order kinetic model, and the BET multilayer isotherm model provided a better fit to the experimental data of MB and BR9 adsorption. The IRH adsorption capacities were 15.0 mg/g for MB and 7.2 mg/g for BR9, whereas those of HRH were 24.4 mg/g for MB and 8.3 mg/g for BR9. Therefore, these RHs are potential bio-adsorbents for removing MB and BR9 from aqueous solutions.
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来源期刊
Recycling
Recycling Environmental Science-Management, Monitoring, Policy and Law
CiteScore
6.80
自引率
7.00%
发文量
84
审稿时长
11 weeks
期刊最新文献
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