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 AbstractPlant Defense by VOC-Induced Microbial Priming    Next AbstractWhat can a worm learn in a bacteria-rich habitat? »

Environ Pollut


Title:Predicting adsorption coefficients of VOCs using polyparameter linear free energy relationship based on the evaluation of dispersive and specific interactions
Author(s):Liu H; Wei K; Yu Y; Long C;
Address:"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. Electronic address: clong@nju.edu.cn"
Journal Title:Environ Pollut
Year:2019
Volume:20190911
Issue:Pt 1
Page Number:113224 -
DOI: 10.1016/j.envpol.2019.113224
ISSN/ISBN:1873-6424 (Electronic) 0269-7491 (Linking)
Abstract:"Predicting adsorption of volatile organic compounds (VOCs) on activated carbons is of major importance to understand activated carbons' adsorption properties and explore their potential applications. In this study, adsorption of 38 VOCs on a commercial granular activated carbon (GAC) was examined using inverse gas chromatography (IGC) at infinite dilution, and the adsorption coefficients (K), dispersive and specific components of adsorption free energy were calculated. We found that the dispersive interaction was well described by adsorbate's molar polarizability (P), and the specific interactions well by dipolarity/polarizability (S), hydrogen-bond acidity (A) and hydrogen-bond basicity (B). Based on the result, a polyparameter linear free energy relationship (PP-LFER) was established: logK = (0.96?ª++/-?ª+0.23) S + (2.23 +/- 0.34) A + (0.84 +/- 0.25) B + (0.69 +/- 0.050) P + (0.13 +/- 0.35); (n?ª+=?ª+38, R(2)?ª+=?ª+0.859, root mean square error (RMSE)?ª+=?ª+0.25), which exhibited a more accurate prediction compared to the classical PP-LFER (E, S, A, B and L as descriptors, R(2)?ª+=?ª+0.765, RMSE?ª+=?ª+0.33). Moreover, it overcame the drawbacks of indistinguishable dispersive interaction and unavailable relative contribution of each interaction for classical PP-LFER in explaining adsorption mechanism. As suggested by the developed model, the dispersive interaction was the dominant contribution to the adsorption of VOCs on GAC (42-100%), following by dipole-type interactions (0-30%) and hydrogen bonding (hydrogen-bond acidity 0-32%, hydrogen-bond basicity 0-11%). Additionally, it also accurately predicted the K values of VOCs on other three activated carbons"
Keywords:"Adsorption Charcoal/chemistry Chromatography, Gas Hydrogen Bonding *Models, Chemical Volatile Organic Compounds/*chemistry Water/chemistry Activated carbons Adsorption coefficients Inverse gas chromatography Prediction VOCs;"
Notes:"MedlineLiu, Huijuan Wei, Keyan Yu, Yansong Long, Chao eng England 2019/09/22 Environ Pollut. 2019 Dec; 255(Pt 1):113224. doi: 10.1016/j.envpol.2019.113224. Epub 2019 Sep 11"

 
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 03-07-2024