Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
Chemosphere. 2020 Jul;250:126238. doi: 10.1016/j.chemosphere.2020.126238. Epub 2020 Feb 17.
Carbon-based materials and their modifications have received significant attention over the last decades given the outstanding adsorption behavior toward various dyes from aqueous solutions. In this systematic review and meta-analysis, the adsorption capability of dyes on carbon-based adsorbent materials (CBAMs) has been compiled. Further, the effects of process variables i.e., pH, adsorbent dosage, contact time, and initial concentration), adsorption kinetics, and isotherms were investigated while considering the classification of different groups of dyes and adsorbents. The Metafor package provides functions for conducting meta-analyses in R software. Electronic databases, including PubMed, Web of Science, and Scopus were systematically searched based on Medical Subject Headings (MeSH) from January 1, 2009 to May 1, 2018. The following parameters were evaluated according to predetermined inclusion and exclusion criteria. After detailed screening and analysis, 835 articles were eligible for the review section. Among them, 87 studies met all quantitative criteria for the meta-analysis. The meta-analysis was performed using a random-effects model with a high heterogeneity (I = 99.99%). According to the evidence, basic dyes with n = 661 (∼50%) and powder activated carbon (PAC) sorbent with n = 752 (∼57%) have received the most attention among researchers. The results revealed that the mean of removal efficiency-based dyes classification was between 79.9 and 93.7% and the adsorption capacity was lied within the range of 76.8-303.6 mg/g. Meanwhile, the maximum adsorption capacity belongs to graphene families with Qm > 320 mg/g, while the minimum Qm was related to G and GAC with capacities of 108.5 and 110.7 mg/g, respectively. Pseudo-second-order kinetic model with 88.7% and Langmuir isotherm with 74% had the best fitting with the data studied. Baujat plot revealed that two studies (ID: 75 and 12) had the minimum influence on adsorption capacity with the highest dffits and cook's distance. According to the pooled data, the mean adsorption capacity varied between 140.90 and 208.25, with a mean of 174.57 mg/g across all studies. The results of Egger's test (t = 0.1332, p = 0.0844) and Begg's test (z = 0.8458, p = 0.3977) were not statistically significant, suggesting that no potential publication bias existed.
基于碳的材料及其改性材料因其对水溶液中各种染料的出色吸附性能而在过去几十年中受到了广泛关注。在本系统综述和荟萃分析中,编译了染料在基于碳的吸附剂材料(CBAMs)上的吸附能力。此外,还研究了过程变量(即 pH 值、吸附剂剂量、接触时间和初始浓度)、吸附动力学和等温线的影响,同时考虑了不同染料和吸附剂组的分类。Metafor 软件包在 R 软件中提供了进行荟萃分析的功能。电子数据库包括 PubMed、Web of Science 和 Scopus,根据医学主题词(MeSH)从 2009 年 1 月 1 日至 2018 年 5 月 1 日进行了系统搜索。根据预定的纳入和排除标准评估了以下参数。经过详细的筛选和分析,有 835 篇文章符合综述部分的要求。其中,有 87 项研究符合荟萃分析的所有定量标准。荟萃分析使用具有高异质性(I = 99.99%)的随机效应模型进行。根据证据,碱性染料中 n = 661(50%)和粉末活性炭(PAC)吸附剂中 n = 752(57%)受到了研究人员的最多关注。结果表明,基于染料分类的去除效率平均值在 79.9%至 93.7%之间,吸附容量在 76.8-303.6mg/g 范围内。同时,最大吸附容量属于石墨烯家族,其 Qm>320mg/g,而最小的 Qm 与 G 和 GAC 相关,容量分别为 108.5 和 110.7mg/g。准二级动力学模型的拟合度为 88.7%,Langmuir 等温线的拟合度为 74%,与所研究的数据拟合度最好。Baujat 图显示,两项研究(ID:75 和 12)对吸附容量的影响最小,dffits 和 cook's 距离最高。根据汇总数据,平均吸附容量在所有研究中在 140.90 至 208.25 之间变化,平均值为 174.57mg/g。Egger 检验(t=0.1332,p=0.0844)和 Begg 检验(z=0.8458,p=0.3977)的结果均无统计学意义,表明不存在潜在的发表偏倚。