Soil and Crop Sciences, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA; Department of Soil and Water Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, Hebrew University of Jerusalem, Rehovot, 7610001, Israel.
Soil and Crop Sciences, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA; Department of Soil and Water Systems, College of Agricultural and Life Sciences, University of Idaho, Moscow, ID 83843, USA.
Water Res. 2021 Jan 1;188:116571. doi: 10.1016/j.watres.2020.116571. Epub 2020 Oct 26.
Clay-polymer nanocomposites (CPNs) have been studied for two decades as sorbents for water pollutants, but their applicability remains limited. Our aim in this review is to present the latest progress in CPN research using a meta-analysis approach and identify key steps necessary to bridge the gap between basic research and CPN application. Based on results extracted from 99 research articles on CPNs and 8 review articles on other widely studies sorbents, CPNs had higher adsorption capacities for several inorganic and organic pollutant classes (including heavy metals, oxyanions, and dyes, n = 308 observations). We applied principal component analysis, analysis of variance, and multiple linear regressions to test how CPN and pollutant properties correlated with Langmuir adsorption model coefficients. While adsorption was, surprisingly, not influenced by mineral properties, it was influenced by CPN fabrication method, polymer functional groups, and pollutant properties. For example, among the pollutant classes, heavy metals had the highest adsorption capacity but the lowest adsorption affinity. On the other hand, dyes had high adsorption affinities, as reflected by the linear correlation between adsorption affinity and pollutant molecular weight. Scaling from 'basic research' to 'technological application' requires testing CPN performance in real water, application in columns, comparison to commercial sorbents, regeneration, and cost evaluation. However, our survey indicates that of the 158 observations, only 20 compared the CPN's performance to that of a commercial sorbent. We anticipate that this review will promote the design of smart and functional CPNs, which can then evolve into an effective water treatment technology.
粘土-聚合物纳米复合材料(CPN)作为水污染物的吸附剂已经研究了二十年,但它们的应用仍然有限。我们在这篇综述中的目的是通过元分析方法介绍 CPN 研究的最新进展,并确定缩小基础研究与 CPN 应用之间差距所需的关键步骤。基于从 99 篇关于 CPN 的研究文章和 8 篇关于其他广泛研究的吸附剂的综述文章中提取的结果,CPN 对几类无机和有机污染物(包括重金属、含氧阴离子和染料,n=308 个观测值)具有更高的吸附能力。我们应用主成分分析、方差分析和多元线性回归来测试 CPN 和污染物性质与 Langmuir 吸附模型系数的相关性。虽然令人惊讶的是,吸附不受矿物性质的影响,但它受 CPN 制造方法、聚合物官能团和污染物性质的影响。例如,在污染物类别中,重金属的吸附容量最高,但吸附亲和力最低。另一方面,染料具有较高的吸附亲和力,这反映在吸附亲和力与污染物分子量之间的线性相关性上。从“基础研究”到“技术应用”的扩展需要在实际水中测试 CPN 的性能、在柱中应用、与商业吸附剂进行比较、再生和成本评估。然而,我们的调查表明,在 158 个观测值中,只有 20 个将 CPN 的性能与商业吸附剂的性能进行了比较。我们预计,这篇综述将促进智能和功能 CPN 的设计,从而演变成一种有效的水处理技术。