Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractAdvances in the early detection of lung cancer using analysis of volatile organic compounds: from imaging to sensors    Next AbstractLung Cancer Screening Based on Type-different Sensor Arrays »

J Mol Model


Title:Modeling the selectivity of indoor pollution gases over N2 on covalent organic frameworks
Author(s):Li W; Pang Y; Zhang J;
Address:"Faculty of Chemistry, Northeast Normal University, Changchun, China"
Journal Title:J Mol Model
Year:2014
Volume:20140701
Issue:7
Page Number:2346 -
DOI: 10.1007/s00894-014-2346-x
ISSN/ISBN:0948-5023 (Electronic) 0948-5023 (Linking)
Abstract:"The selectivity of indoor pollution gases (including formaldehyde, benzene, and toluene) over N2 on a set of 37 covalent organic frameworks (COFs) was modeled by combining classical grand canonical Monte Carlo (GCMC) methods and periodic density functional theory with dispersion correction (DFT-D2). The pore volume, pore size, and the isosteric heat (Q st) of gases on COFs were investigated to explore the origin of the high selectivity of pollution gases over N2. We found that the size match between the pore of the COFs and the corresponding pollution gases is the key factor for high selectivity. Additionally, the Q st for the investigated four gases follows the order of toluene > benzene > formaldehyde > N2, which is consistent with the order of selectivity. Furthermore, the favorite sites and interaction energies of pollution gases on COFs were calculated by the periodic DFT-D2 method. Our simulation procedure offers an alternative approach with which to evaluate or design the best candidate porous materials in capture pollution gases"
Keywords:"Adsorption Air Pollutants/*chemistry *Air Pollution, Indoor Benzene/chemistry Computer Simulation *Construction Materials Formaldehyde/chemistry Gases *Models, Chemical Models, Molecular Monte Carlo Method Nitrogen/*chemistry Porosity Temperature Toluene/;"
Notes:"MedlineLi, Wenliang Pang, Yujia Zhang, Jingping eng Research Support, Non-U.S. Gov't Germany 2014/07/02 J Mol Model. 2014 Jul; 20(7):2346. doi: 10.1007/s00894-014-2346-x. Epub 2014 Jul 1"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024