(2019) Computational prediction of estrogenic micropollutants removal from lignin surface using ionic liquids. Journal of Applied Biotechnology Reports. pp. 125-128. ISSN 23221186 (ISSN)
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Abstract
Introduction: Estrogens are of the most dangerous micro/nanopollutants that have shown severe influences on the ecosystems and microorganisms. There is an ever-increasing demand to reliably detect and practically remove these estrogens from effluents. In a recently proposed method, estrogens can be detected and removed from effluents using a sampler (lignin). In this study it has been shown that ionic liquids are a potential choice to separate the adsorbed estrogens from the surface of “dirty” lignin so that the sampler could be reused. Materials and Methods: More than 300 ionic liquids were screened for removing estrogens from the lignin surface by employing a quantum chemistry method, COnductor-like Screening MOdel (COSMO), to determine the interaction quality between the ionic liquid and eight estrogens of interest. Results: The results revealed that there are at least 24 solvents that can remove adsorbed estrogens from the surface of lignin. Conclusions: This prediction completes the cycle of reusing lignin as an efficient polymeric sampler to remove estrogens from effluents and provokes experimental justifications. © 2019 The Author(s).
Item Type: | Article |
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Keywords: | Computational chemistry Estrogenic micropollutants Ionic liquids Lignin Polymeric samplers Water effluent |
Divisions: | |
Page Range: | pp. 125-128 |
Journal or Publication Title: | Journal of Applied Biotechnology Reports |
Journal Index: | Scopus |
Volume: | 6 |
Number: | 3 |
Identification Number: | https://doi.org/10.29252/JABR.06.03.08 |
ISSN: | 23221186 (ISSN) |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/479 |
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