Predicting adsorption coefficients of VOCs using polyparameter linear free energy relationship based on the evaluation of dispersive and specific interactions. (December 2019)

• Record Type: Journal Article
• Authors: Liu, Huijuan; Wei, Keyan; Yu, Yansong; Long, Chao
• Is Part Of: Environmental pollution. Volume 255(2019)Part 1
• Publication Date: 2019-12
• Subjects: Adsorption coefficients -- Activated carbons -- VOCs -- Prediction -- Inverse gas chromatography; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2019.113224
• Languages: English
• ISSNs: 0269-7491

Abstract

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 ± 0.23) S + (2.23 ± 0.34) A + (0.84 ± 0.25) B + (0.69 ± 0.050) P + (0.13 ± 0.35); ( n = 38, R 2 = 0.859, root mean square error ( RMSE ) = 0.25), which exhibited a more accurate prediction compared to the classical PP-LFER ( E, S, A, B and L as descriptors, R 2 = 0.765, RMSE = 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. Graphical abstract: Image 1 Highlights: The dispersive and specific interactions between GAC and VOCs were measured exactly. An accurate model was developed using four parameters to predict VOCs adsorption. Compared to classical PP-LFER, it overcame the drawbacks in explaining mechanism. Main interaction is dispersion and partly dipole-type interactions, hydrogen bonding. The model was effective in predicting the adsorption on other ACs from references. Abstract : The study developed an accurate model using four parameters to predict VOCs adsorption. It overcame the drawbacks of classical PP-LFER in explaining mechanism.