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Adsorption of ionic and neutral pharmaceuticals and endocrine-disrupting chemicals on activated carbon fiber: batch isotherm and modeling studies.
Zhao, Yufeng; Wu, Guiping; Wei, Wei; Song, Myung-Hee; Cho, Chul-Woong; Yun, Yeoung-Sang.
Afiliação
  • Zhao Y; Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environment, South-Central Minzu University, Wuhan, 430074, China.
  • Wu G; Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environment, South-Central Minzu University, Wuhan, 430074, China.
  • Wei W; Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Nanhu Road 237, Xinyang, 464000, China.
  • Song MH; Environmental Biotechnology National Research Laboratory, School of Chemical Engineering, Division of Semiconductor and Chemical Engineering, Jeonbuk National University, Jeonbuk, 54896, South Korea.
  • Cho CW; Department of Bioenergy Science and Technology, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: choicejoe@jnu.ac.kr.
  • Yun YS; Environmental Biotechnology National Research Laboratory, School of Chemical Engineering, Division of Semiconductor and Chemical Engineering, Jeonbuk National University, Jeonbuk, 54896, South Korea. Electronic address: ysyun@jbnu.ac.kr.
Chemosphere ; 319: 138042, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36736835
ABSTRACT
Activated carbon fiber (ACF) has received increasing attention as an adsorbent due to its excellent surface properties. However, the adsorption mechanism of ACF for micropollutants, especially those in ionic forms, has not been sufficiently characterized to date. Therefore, the adsorption property of ACF was characterized using isotherm experiments and linear free energy relationship (LFER). For the experiments, adsorption affinities of thirty-five chemicals, i.e., pharmaceuticals and endocrine-disrupting chemicals, on ACF were estimated. Afterward, the adsorption affinities were used as dependent variables to build the LFER modeling. Finally, three isolated models for each chemical species, i.e., cations, anions, and neutrals, and a comprehensive model for the whole dataset were developed. The LFER results revealed that the models for anionic and neutral compounds have high predictabilities in R2 of 0.97 and 0.96, respectively, while that for cations has a slightly lower R2 of 0.72. In the comprehensive model including cationic, anionic, and neutral compounds, the accuracy of it is 0.81. From the developed LFER model based on the whole dataset, the adsorption mechanisms of ACF for the selected substances could be interpreted, in which the terms of hydrophobic interaction, hydrogen bonding basicity, and anionic Coulombic force of the compounds were identified as the predominant interactions with ACF.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Disruptores Endócrinos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Disruptores Endócrinos Idioma: En Ano de publicação: 2023 Tipo de documento: Article