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Pre-selection and assessment of green organic solvents by clustering chemometric tools.
Tobiszewski, Marek; Nedyalkova, Miroslava; Madurga, Sergio; Pena-Pereira, Francisco; Namiesnik, Jacek; Simeonov, Vasil.
Afiliación
  • Tobiszewski M; Department of Analytical Chemistry, Chemical Faculty, Gdansk University of Technology (GUT), 11/12 G. Narutowicza St., 80-233 Gdansk, Poland.
  • Nedyalkova M; Faculty of Chemistry and Pharmacy, University of Sofia "St. Kl. Okhridski", 1164 Sofia, J. Bourchier Blvd. 1, Bulgaria. Electronic address: mici345@yahoo.com.
  • Madurga S; Materials Science and Physical Chemistry Department & Research Institute of Theoretical and Computational Chemistry (IQTCUB) of Barcelona University (UB), C/ Martí i Franquès, 1, 08028 Barcelona, Catalonia, Spain.
  • Pena-Pereira F; Analytical and Food Chemistry Department, Faculty of Chemistry, University of Vigo, Campus As Lagoas-Marcosende s/n, 36310 Vigo, Spain.
  • Namiesnik J; Department of Analytical Chemistry, Chemical Faculty, Gdansk University of Technology (GUT), 11/12 G. Narutowicza St., 80-233 Gdansk, Poland.
  • Simeonov V; Faculty of Chemistry and Pharmacy, University of Sofia "St. Kl. Okhridski", 1164 Sofia, J. Bourchier Blvd. 1, Bulgaria.
Ecotoxicol Environ Saf ; 147: 292-298, 2018 Jan.
Article en En | MEDLINE | ID: mdl-28850812
The study presents the result of the application of chemometric tools for selection of physicochemical parameters of solvents for predicting missing variables - bioconcentration factors, water-octanol and octanol-air partitioning constants. EPI Suite software was successfully applied to predict missing values for solvents commonly considered as "green". Values for logBCF, logKOW and logKOA were modelled for 43 rather nonpolar solvents and 69 polar ones. Application of multivariate statistics was also proved to be useful in the assessment of the obtained modelling results. The presented approach can be one of the first steps and support tools in the assessment of chemicals in terms of their greenness.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Solventes / Tecnología Química Verde / Modelos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2018 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Solventes / Tecnología Química Verde / Modelos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2018 Tipo del documento: Article