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QSPR study on the polyacrylate–water partition coefficients of hydrophobic organic compounds

  • Tengyi ZhuEmail author
  • Heting Yan
  • Rajendra Prasad Singh
  • Yajun Wang
  • Haomiao ChengEmail author
Resource Recovery from Wastewater, Solid Waste and Waste Gas: Engineering and Management Aspects
  • 45 Downloads

Abstract

The partition coefficient is essential for the analysis of organic chemicals using solid-phase microextraction (SPME) techniques. In this study, a quantitative structure-property relationship (QSPR) model was developed with chemical descriptors for the prediction of the polyacrylate (PA)-water partition coefficient (KPA-w). The major variables influencing KPA-w in the QSPR model were CrippenlogP (crippen octanal-water partition coefficient), RNCG (relative negative charge—most negative charge/total negative charge), VE2_Dzv (average coefficient sum of the last eigenvector from the Barysz matrix/weighted by van der Waals volume), and ATSC4v (centred Broto-Moreau autocorrelation-lag 4/weighted by van der Waals volume). The relative determination coefficient (R2) and cross-validation coefficient (Q2) were 0.898 and 0.858, respectively, which implied that the model had excellent robustness. Mechanistic interpretation suggested that the factors affecting the partitioning process between PA and water are the hydrophobicity, relative negative charge, and van der Waals volume of a chemical. The results of this study provide a good tool for predicting the log KPA-w values of diverse hydrophobic organic compounds (HOCs) within the applicability domain to reduce experimental costs and the time required for innovation.

Keywords

HOCs SPME QSPR Polyacrylate–water partition coefficient Hydrophobicity Applicability domain 

Notes

Funding information

The current work was funded by the National Natural Science Foundation of China (Grant Nos. 21607123 and 51809226) and the Jiangsu Provincial Laboratory for Water Environmental Protection Engineering (Grant No. W1802).

Supplementary material

11356_2019_6389_MOESM1_ESM.docx (126 kb)
ESM 1 (DOCX 126 kb)

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Jiangsu Provincial Laboratory of Water Environmental Protection Engineering, School of Environmental Science and EngineeringYangzhou UniversityYangzhouChina
  2. 2.School of Civil EngineeringNanjingChina

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