Prediction of equilibrium phase compositions and β-glucosidase partition coefficient in aqueous two-phase systems

Chemical Engineering Communications

Volumn 194, Issue 1, 2007, Pages 117-128

  Gautam, Shalini ^a   Simon, Laurent ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

glucosidase; Aqueous two phase systems; Artificial neural networks

Indexed keywords

ENZYME KINETICS; MATHEMATICAL MODELS; NEURAL NETWORKS; PH; PHASE COMPOSITION; POLYETHYLENE GLYCOLS; POTASSIUM COMPOUNDS; THERMAL EFFECTS; WATER;

AQUEOUS TWO-PHASE SYSTEM (ATPS); FLORY-HUGGINS (F-H)-TYPE MODEL;

SOLUTIONS;

ENZYME KINETICS; MATHEMATICAL MODELS; NEURAL NETWORKS; PH; PHASE COMPOSITION; POLYETHYLENE GLYCOLS; POTASSIUM COMPOUNDS; SOLUTIONS; THERMAL EFFECTS; WATER;

EID: 33749016474     PISSN: 00986445     EISSN: 15635201     Source Type: Journal    
DOI: 10.1080/00986440600715896     Document Type: Article

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