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Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials

Layered black phosphorus (BP) has exhibited exciting application prospects in diverse fields. Adsorption of organics onto BP may influence environmental behavior and toxicities of both organic pollutants and BP nanomaterials. However, contributions of various intermolecular interactions to the adsor...

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Autores principales: Su, Lihao, Wang, Ya, Wang, Zhongyu, Zhang, Siyu, Xiao, Zijun, Xia, Deming, Chen, Jingwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875661/
https://www.ncbi.nlm.nih.gov/pubmed/35214919
http://dx.doi.org/10.3390/nano12040590
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author Su, Lihao
Wang, Ya
Wang, Zhongyu
Zhang, Siyu
Xiao, Zijun
Xia, Deming
Chen, Jingwen
author_facet Su, Lihao
Wang, Ya
Wang, Zhongyu
Zhang, Siyu
Xiao, Zijun
Xia, Deming
Chen, Jingwen
author_sort Su, Lihao
collection PubMed
description Layered black phosphorus (BP) has exhibited exciting application prospects in diverse fields. Adsorption of organics onto BP may influence environmental behavior and toxicities of both organic pollutants and BP nanomaterials. However, contributions of various intermolecular interactions to the adsorption remain unclear, and values of adsorption parameters such as adsorption energies (E(ad)) and adsorption equilibrium constants (K) are lacking. Herein, molecular dynamic (MD) and density functional theory (DFT) was adopted to calculate E(ad) and K values. The calculated E(ad) and K values for organics adsorbed onto graphene were compared with experimental ones, so as to confirm the reliability of the calculation methods. Polyparameter linear free energy relationship (pp-LFER) models on E(ad) and logK were developed to estimate contributions of different intermolecular interactions to the adsorption. The adsorption in the gaseous phase was found to be more favorable than in the aqueous phase, as the adsorbates need to overcome cohesive energies of water molecules onto BP. The affinity of the aromatics to BP was comparable to that of graphene. The pp-LFER models performed well for predicting the E(ad) and K values, with external explained variance ranging from 0.90 to 0.97, and can serve as effective tools to rank adsorption capacities of organics onto BP.
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spelling pubmed-88756612022-02-26 Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials Su, Lihao Wang, Ya Wang, Zhongyu Zhang, Siyu Xiao, Zijun Xia, Deming Chen, Jingwen Nanomaterials (Basel) Article Layered black phosphorus (BP) has exhibited exciting application prospects in diverse fields. Adsorption of organics onto BP may influence environmental behavior and toxicities of both organic pollutants and BP nanomaterials. However, contributions of various intermolecular interactions to the adsorption remain unclear, and values of adsorption parameters such as adsorption energies (E(ad)) and adsorption equilibrium constants (K) are lacking. Herein, molecular dynamic (MD) and density functional theory (DFT) was adopted to calculate E(ad) and K values. The calculated E(ad) and K values for organics adsorbed onto graphene were compared with experimental ones, so as to confirm the reliability of the calculation methods. Polyparameter linear free energy relationship (pp-LFER) models on E(ad) and logK were developed to estimate contributions of different intermolecular interactions to the adsorption. The adsorption in the gaseous phase was found to be more favorable than in the aqueous phase, as the adsorbates need to overcome cohesive energies of water molecules onto BP. The affinity of the aromatics to BP was comparable to that of graphene. The pp-LFER models performed well for predicting the E(ad) and K values, with external explained variance ranging from 0.90 to 0.97, and can serve as effective tools to rank adsorption capacities of organics onto BP. MDPI 2022-02-09 /pmc/articles/PMC8875661/ /pubmed/35214919 http://dx.doi.org/10.3390/nano12040590 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Lihao
Wang, Ya
Wang, Zhongyu
Zhang, Siyu
Xiao, Zijun
Xia, Deming
Chen, Jingwen
Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title_full Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title_fullStr Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title_full_unstemmed Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title_short Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials
title_sort simulating and predicting adsorption of organic pollutants onto black phosphorus nanomaterials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875661/
https://www.ncbi.nlm.nih.gov/pubmed/35214919
http://dx.doi.org/10.3390/nano12040590
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