Waste bone char-derived adsorbents: characteristics, adsorption mechanism and model approach

被引:9
|
作者
Hart A. [1 ]
Porbeni D.W. [2 ]
Omonmhenle S. [3 ]
Peretomode E. [4 ]
机构
[1] Department of Chemical and Biological Engineering, University of Sheffield, Sheffield
[2] Department of Chemical Engineering, Niger Delta University, Wilberforce Island
[3] Department of Chemistry, Faculty of Physical Sciences, University of Benin, Benin
[4] School of Engineering, Robert Gordon University, Aberdeen
关键词
adsorption; adsorption capacity enhancement; Bone char; kinetics and isotherm models; regeneration;
D O I
10.1080/21622515.2023.2197128
中图分类号
学科分类号
摘要
The increase in meat consumption will result in a significant amount of bone being generated as solid waste and causing pollution to the environment. By pyrolysis or gasification, waste bones can be converted into bone char (BC), which can be used as an adsorbent for removing pollutants from wastewater and effluent gas. The purpose of this study is to critically appraise results from pertinent research and to collect and analyse data from studies on BC adsorbent applications from experimental, semi-empirical, theoretical and contextual viewpoints. Detailed descriptions of the theoretical adsorption mechanism, as well as possible interactions between pollutants and BC surface, were provided for the removal of pollutants. The study provides insights into the effect of synthesis conditions on BC's physicochemical properties and strategies for improving its adsorption capacity as well as future outlooks to guide research and support the development of green and cost-effective adsorbent alternatives to tackle water pollution. Additionally, this review discusses the application of BC to remove contaminants from water and soil, outlines strategies for regenerating pollutant-saturated BC, interprets the adsorption kinetics and isotherm models used in BC sorption studies, and highlights large-scale applications using packed-bed columns. Consequently, we proposed that when selecting the optimum isotherm model, experimental data should be used to substantiate the theory behind the predicted isotherm. Therefore, error functions combined with non-linear regression are the most effective method for obtaining and selecting optimal parameter values for adsorption kinetics and isotherm models. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码:175 / 204
页数:29
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