Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1080/1062936X.2013.841286 |
| Titel (primär) | Predicting hexadecane–air equilibrium partition coefficients (L) using a group contribution approach constructed from high quality data |
| Autor | Brown, T.N. |
| Quelle | SAR and QSAR in Environmental Research |
| Erscheinungsjahr | 2014 |
| Department | AUC |
| Band/Volume | 25 |
| Heft | 1 |
| Seite von | 51 |
| Seite bis | 71 |
| Sprache | englisch |
| Keywords | hexadecane–air partition coefficient; group contribution method; QSPR; LFER; iterative fragment selection; complex chemicals |
| UFZ Querschnittsthemen | RU3; |
| Abstract | A group contribution-based quantitative structure–property relationship (QSPR) for the hexadecane–air equilibrium partition coefficients (L) of organic chemicals is developed using the iterative fragment selection (IFS) approach. This new QSPR includes in its training and external validation data sets L values for a large number of structurally complex chemicals measured by the same group using consistent methods. The resulting QSPR has better predictive power than other prediction methods trained primarily using data for chemicals of simpler structures, and measurements of L values from diverse sources. For a subset of chemicals in which the L values have non-additive effects caused by intramolecular hydrogen bonds, the new QSPR gives much better performance in comparison to the most commonly used prediction method. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=14271 |
| Brown, T.N. (2014): Predicting hexadecane–air equilibrium partition coefficients (L) using a group contribution approach constructed from high quality data SAR QSAR Environ. Res. 25 (1), 51 - 71 10.1080/1062936X.2013.841286 |
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