Linear and nonlinear quantitative structure-property relationship models for solubility of some anthraquinone, anthrone and xanthone derivatives in supercritical carbon dioxide

Analytica Chimica Acta

Volumn 610, Issue 1, 2008, Pages 25-34

  Hemmateenejad, Bahram ^a,b   Shamsipur, Mojtaba ^c   Miri, Ramin ^a   Elyasi, Maryam ^a   Foroghinia, Farzaneh ^a   Sharghi, Hashem ^b  

^a SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c RAZI UNIVERSITY   (Iran)

Author keywords

Anthraquinone; Combined data splitting feature selection; Quantitative structure property relationship; Solubility; Supercritical carbon dioxide

Indexed keywords

ANTHRAQUINONE; COMBINED DATA SPLITTING-FEATURE SELECTION; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP; SUPERCRITICAL CARBON DIOXIDE;

CARBON DIOXIDE; MATHEMATICAL MODELS; MEAN SQUARE ERROR; NEURAL NETWORKS; SOLUBILITY; SUPERCRITICAL FLUIDS;

ORGANIC COMPOUNDS;

ANTHRAQUINONE; ANTHRONE; CARBON DIOXIDE; PLANT EXTRACT; UNCLASSIFIED DRUG; XANTHONE DERIVATIVE;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; LINEAR SYSTEM; MOLECULAR MODEL; MULTIPLE LINEAR REGRESSION ANALYSIS; NONLINEAR SYSTEM; PREDICTION; PRESSURE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SOLUBILITY; SUPERCRITICAL FLUID; SYNTHESIS; TEMPERATURE;

ANTHRACENES; ANTHRAQUINONES; CARBON DIOXIDE; MODELS, THEORETICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOLUBILITY; XANTHONES;

EID: 39149117977     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2008.01.011     Document Type: Article

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