COSMO-RS modeling on the extraction of stimulant drugs from urine sample by the double actions of supercritical carbon dioxide and ionic liquid
- Author
- ZHIGANG LEI1 ; BIAOHUA CHEN1 ; CHENGYUE LI1
[1] State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Box 35, Beijing 100029, China - Source
Chemical engineering science. 2007, Vol 62, Num 15, pp 3940-3950, 11 p ; ref : 3/4 p
- CODEN
- CESCAC
- ISSN
- 0009-2509
- Scientific domain
- Chemical engineering
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- COSMO-RS model Extraction Ionic liquids SC CO2 Stimulant drugs
- Keyword (fr)
- Carbone dioxyde Coefficient partage Etat supercritique Extraction SFE Extraction liquide liquide Génie chimique Liquide ionique Matériau conducteur Modélisation Prédiction Solution aqueuse Urine
- Keyword (en)
- Carbon dioxide Partition coefficient Supercritical state Supercritical fluid extraction Liquid liquid extraction Chemical engineering Ionic liquid Conducting material Modeling Prediction Aqueous solution Urine
- Keyword (es)
- Carbono dióxido Coeficiente repartición Estado supercrítico Extracción fluido supercrítico Extracción líquido líquido Ingeniería química Líquido iónico Material conductor Modelización Predicción Solución acuosa Orina
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D07 Chemical engineering / 001D07L Liquid-liquid extraction
- Discipline
- Chemical engineering
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18930588
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ces.2007.04.021 
https://dx.doi.org/10.1016/j.ces.2007.04.021
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