DOI: 10.1016/j.watres.2019.02.012
Scopus记录号: 2-s2.0-85061785851
论文题名: QSARs to predict adsorption affinity of organic micropollutants for activated carbon and β-cyclodextrin polymer adsorbents
作者: Ling Y. ; Klemes M.J. ; Steinschneider S. ; Dichtel W.R. ; Helbling D.E.
刊名: Water Research
ISSN: 431354
出版年: 2019
卷: 154 起始页码: 217
结束页码: 226
语种: 英语
英文关键词: Activated carbon
; Adsorption
; Distribution coefficient
; Micropollutant
; β-cyclodextrin polymer
英文摘要: The removal of organic micropollutants (MPs) from water by means of adsorption is determined by the physicochemical properties of the adsorbent and the MPs. It is challenging to predict the removal of MPs by specific adsorbents due to the extreme diversity in physicochemical properties among MPs of interest. In this research, we established Quantitative Structure–Activity Relationships (QSARs) between the physicochemical properties of a diverse set of MPs and their distribution coefficients (K D ) measured on coconut shell activated carbon (CCAC) and porous β-cyclodextrin polymer (P-CDP) adsorbents. We conducted batch experiments with a mixture of 200 MPs and used the data to calculate K D values for each MP on each adsorbent under conditions of infinite dilution (i.e., low adsorbate concentrations). We used computational software to calculate 3656 molecular descriptors for each MP. We then developed and applied a model-selection workflow to identify the most significant molecular descriptors for each adsorbent. The functional stability and predictive power of the resulting QSARs were confirmed with internal cross validation and external validation. The applicability domain of the QSARs was defined based on the most significant molecular descriptors selected into each QSAR. The QSARs are predictive tools for evaluating adsorption-based water treatment processes and provide new insights into CCAC and P-CDP adsorption mechanisms. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/121938
Appears in Collections: 气候变化事实与影响
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作者单位: School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States; Department of Chemistry, Northwestern University, Evanston, IL 60208, United States; Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States
Recommended Citation:
Ling Y.,Klemes M.J.,Steinschneider S.,et al. QSARs to predict adsorption affinity of organic micropollutants for activated carbon and β-cyclodextrin polymer adsorbents[J]. Water Research,2019-01-01,154