4.7 Article

Adsorptive removal of methylene blue and acid orange 10 dyes from aqueous solutions using oil palm wastes-derived activated carbons

期刊

ALEXANDRIA ENGINEERING JOURNAL
卷 60, 期 6, 页码 5611-5629

出版社

ELSEVIER
DOI: 10.1016/j.aej.2021.04.044

关键词

Dye; Adsorption; Activation process; Empty fruit bunches; Mesocarp fibers

资金

  1. Universiti Teknologi PETRONAS (UTP) under Yayasan Universiti Teknologi PETRONAS (YUTP) grant [015LCO-152]

向作者/读者索取更多资源

The study evaluated the efficiency of activated carbons developed from oil palm waste in removing toxic dyes from wastewater, showing that this method is effective and has strong adsorption capacity.
Presence of toxic dyes in industrial wastewaters deteriorates the environment. Wastewater pollution control using locally obtainable agricultural by-products could be an eco-friendly and sustainable strategy. Efficiencies of activated carbons (AC) developed from empty fruit bunches (EFB) and mesocarp fibers (MF) of oil palm were evaluated in methylene blue (MB) and Acid orange 10 (AO10) dyes removal. Impacts of operational parameters including adsorbent dose, pH, initial concentration of dyes, and contact time were examined on dyes adsorption. Maximum adsorption values of MB (24.00 mg/g) and AO10 (18.76 mg/g) were achieved at pH 2 and 3, respectively, 50 mg/L initial dyes concentration, adsorbents dosage of 5 g/L, and 90 min contact time. Evaluation of adsorption isotherms revealed that the Freundlich model provided the best fit to the empirical data (R-2 >= 0.692). MB isotherm through MF, however, was better represented by Langmuir model (R-2 = 0.979). MF activated carbon showed higher capacity in immobilization of both dyes probably due to its larger surface area (552.72 m(2)/g) and porosity (0.4458 cm(3)/g). Dye adsorption on to the activated carbons go along with pseudo-second order kinetic model. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据