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Application of Molecular Descriptors to the Prediction of Retention in Organic Solvent Nanofiltration

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An attempt to apply the molecular descriptors for the characterization of retention of solutes in organic solvent nanofiltration has been performed. The descriptors were calculated using the program Dragon. The geometry of each solute molecule has been optimized using GaussianŽ. Two linear equations relating the retention coefficient, R, with one or two descriptors have been tested using two sets of solutes. The first one (“soft” set) consisted of saturated and aromatic hydrocarbons (data of White, J. Membr.Sci., 205, 191 (2002)), the second one (“hard” set) contained the substituted aromatic hydro carbons with heteroatoms (data of Geens et al., J. Membr. Sci., 281, 139 (2006)). It has been found that the “soft” set of compounds is described reasonably well by both equations. The best descriptors belong to GET AWAY descriptors and Burdeneigen values. Regarding the “hard” set of compounds only the 2-descriptors equation yields a satisfactory fitting of R. Here the 3D-MoRSE descriptors are the best for 7 of 14 membrane-solvent systems.
Rocznik
Strony
2137--2152
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
autor
autor
  • Faculty of Chemistry, Nicolaus Copernicus University, 7 Gagarin St., 87-100 Toruń, Poland tel. +48 56 6114318, skoter@chem.uni.torun.pl
Bibliografia
  • 1. See Toh Y.H., Loh X.X., Li K., Bismarck A. and Livingston A.G., J. Membr. Sci., 291, 120 (2007).
  • 2. Geens J., Boussu K., Vandecasteele C. and Van der Brüggen B., J. Membr. Sci., 281, 139 (2006).
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  • 9. Oberg T, Atmos. Environ., 39, 2189 (2005).
  • 10. White L.S., J. Membr. Sci., 205, 191 (2002).
  • 11. White L.S., US Patent 6,180,008 (2001).
  • 12. Gaussian 03, Revision D.Ol, Frisch M.J., Trucks G.W, Schlegel H.B., Scuseria G.E., Robb M.A., Cheeseman J.R., Montgomery J.A., Vreven LT., Kudin K.N., Burant J.C., Millam J.M., Iyengar S.S., Tomasi J., Barone V, Mennucci B., Cossi M., Scalmani G., Rega N., Petersson G.A., Nakatsuji H., Hada M., Ehara M., Toyota K., Fukuda R., Hasegawa J., Ishida M., Nakajima X, Honda Y, Kitao O., Nakai H., Kiene M., Li X., Knox J.E., Hratchian H.P., Cross LB., Bakken V, Adamo C, Jaramillo J., Gomperts R., Stratmann R.E., YazyevO., Austin A.J., Cammi R., Pomelli C, Ochterski J.W., Ayala P.Y, Morokuma K., Voth G.A., Salvador P., Dannenberg J.J., Zakrzewski V.G., Dapprich S., Daniels A.D., Strain M.C., Farkas O., Malick D.K., Rabuck A.D., Raghavachari K., Foresman LB., Ortiz J.V., Cui Q., Baboul A.G., Clifford S., Cioslowski L, Stefanov B.B., Liu G., Liashenko A., Piskorz P., Komaromi I., Martin R.L., Fox D.J., Keith T., Al-Laham M.A., Peng C.Y, Nanayakkara A., Challacombe M., Gill P.M.W., Johnson B., Chen W, Wong M.W., Gonzalez C. and Pople J.A., Gaussian, Inc.: Walling-ford CT, 2004.
  • 13. Karelson M., Lobanov VS. and Katritzky A.R., Chem. Rev., 96, 1027 (1996).
  • 14. Talete srl, DRAGON for Windows (software for molecular decriptor calculations). Version 5.5 - 2007 - http://www.talete.mi.it/
  • 15. http://www.vcclab.org/lab/indexhlp/
  • 16. Todeschini R. and Consonni V, Handbook of Molecular Descriptors, Wiley-VCH, Weinheim (Germany), 2000.
  • 17. Neter L, Wasserman W. and Kutner M.H., Applied Linear Statistical Models, IRWIN, Homewood, Illinois, 1985.
  • 18. Mazerski L, The Basics of Chemometrics, Publisher: Gdansk University of Technology, Gdansk, 2000 (in Polish).
  • 19. Achnazarowa S.L. and Kafarow W.W., Optimalization of Experiment in Chemistry and Chemical Technology, WNT, Warszawa, 1982 (in Polish).
  • 20. Gasteiger J., Schuur J., Selzer P., Steinhauer L. and Steinhauer V, Fresenius J. Anal. Chem., 359, 50 (1997).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ7-0016-0024
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