Development of novel experimental and modelled low density polyethylene (LDPE)-water partition coefficients for a range of hydrophobic organic compounds. (15th December 2021)

• Record Type: Journal Article
• Authors: Zhu, Tengyi; Chen, Wenxuan; Jafvert, Chad T.; Fu, Dafang; Cheng, Haomiao; Chen, Ming; Wang, Yajun
• Is Part Of: Environmental pollution. Volume 291(2021)
• Publication Date: 2021-12-15
• Subjects: HOCs -- Surfactant -- Micelle-water partition coefficient -- LDPE-Water partition coefficients -- In silico models; 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.2021.118223
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Knowledge about partitioning constants of hydrophobic organic compounds (HOCs) between the polymer and aqueous phases is critical for assessing chemical environmental fate and transport. The conventional experimental method is characterized by large discrepancies in the measured values due to the limited water solubility of HOCs and other associated issues. In the current work, a novel three-phase partitioning system was evaluated to determine accurate low-density polyethylene (LDPE)-water partition coefficients ( K PE-w ). By adding sufficient surfactant (Brij 30) to form the micellar pseudo-phase within the polymer/water system, the K PE-w values were obtained from a combination of two experimentally measured values, that is, the micelle-water partition coefficient ( K mic-w ) and the LDPE-micelle partition coefficient ( K PE-mic ). The method presented here is capable of shortening the equilibration time to half a month, and avoiding defects of the traditional method with respect to directly measured aqueous phase concentrations. Herein, the K PE-w values were determined for HOCs with little errors. Meanwhile, based on the 120 experimental K PE-w data, several in silico models were also developed as valid extrapolation tools to estimate missing or uncertain values. Analysis of the underlying solubility interactions in the nonionic surfactant micelles were investigated, providing additional support for the reliability of the proposed method. Highlights: A novel three-phase system was proposed suitably for measuring K PE-w values. Improved method shortens the equilibration time. Four in silico models developed with 120 data demonstrated accurate prediction ability. All the models accomplished with the international OECD QSAR validation principles. Probable interpretation for the underlying adsorptive mechanism is presented.