دورية أكاديمية

Prediction of Environmental Properties for Chlorophenols with Posetic Quantitative Super-Structure/Property Relationships (QSSPR)

التفاصيل البيبلوغرافية
العنوان: Prediction of Environmental Properties for Chlorophenols with Posetic Quantitative Super-Structure/Property Relationships (QSSPR)
المؤلفون: Douglas J. Kleinc, Ovidiu Ivanciuc, Teodora Ivanciuc
المصدر: International Journal of Molecular Sciences, Vol 7, Iss 9, Pp 358-374 (2006)
بيانات النشر: MDPI AG, 2006.
سنة النشر: 2006
المجموعة: LCC:Biology (General)
LCC:Chemistry
مصطلحات موضوعية: chlorophenols (CPs), reaction network, Hasse diagram, partially ordered set, poset, poset-average, cluster-expansion, splinoid poset, quantitative structure-property relationships, QSPR, quantitative structure-activity relationships (QSAR), octanol/water partition coefficient (log Kow), soil sorption coefficient (log KOC)., Biology (General), QH301-705.5, Chemistry, QD1-999
الوصف: Due to their widespread use in bactericides, insecticides, herbicides, andfungicides, chlorophenols represent an important source of soil contaminants. Theenvironmental fate of these chemicals depends on their physico-chemical properties. In theabsence of experimental values for these physico-chemical properties, one can use predictedvalues computed with quantitative structure-property relationships (QSPR). As analternative to correlations to molecular structure we have studied the super-structure of areaction network, thereby developing three new QSSPR models (poset-average, cluster-expansion, and splinoid poset) that can be applied to chemical compounds which can behierarchically ordered into a reaction network. In the present work we illustrate these posetQSSPR models for the correlation of the octanol/water partition coefficient (log Kow) and thesoil sorption coefficient (log KOC) of chlorophenols. Excellent results are obtained for allQSSPR poset models to yield: log Kow, r = 0.991, s = 0.107, with the cluster-expansionQSSPR; and log KOC, r = 0.938, s = 0.259, with the spline QSSPR. Thus, the poset QSSPRmodels predict environmentally important properties of chlorophenols.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1422-0067
Relation: http://www.mdpi.com/1422-0067/7/9/358/; https://doaj.org/toc/1422-0067
DOI: 10.3390/i7090358
URL الوصول: https://doaj.org/article/eebad5f5bd4a404d8bbeaf7ab24bc203
رقم الأكسشن: edsdoj.bad5f5bd4a404d8bbeaf7ab24bc203
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14220067
DOI:10.3390/i7090358