Coumarin Extraction from Cuscuta reflexa using Supercritical Fluid Carbon Dioxide and Development of an Artificial Neural Network Model to Predict the Coumarin Yield

Food and Bioprocess Technology

Volumn 4, Issue 5, 2011, Pages 737-744

  Mitra, Pranabendu ^a   Barman, Paresh Chandra ^b   Chang, Kyu Seob ^a  

^a Chungnam National University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

ANN model; Coumarin extraction; Cuscuta reflexa; Supercritical fluid CO 2

Indexed keywords

ANN MODEL; ANTI-TUMOR ACTIVITIES; ARTIFICIAL NEURAL NETWORK MODELS; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; BLOOD FLOW; CENTRAL COMPOSITE; COSOLVENTS; COUMARIN EXTRACTION; CUSCUTA REFLEXA; EXPERIMENTAL EXTRACTION; EXTRACTION CONDITIONS; FEED-FORWARD; HIDDEN LAYERS; INPUT VARIABLES; MEDICINAL HERB; SUPERCRITICAL FLUID CARBON DIOXIDES; SUPERCRITICAL FLUID CO 2;

BLOOD; CARBON DIOXIDE; EFFLUENT TREATMENT; FORECASTING; LIQUID CHROMATOGRAPHY; METHANOL; NEURAL NETWORKS; OPTIMIZATION; ORGANIC SOLVENTS; SUPERCRITICAL FLUID EXTRACTION; SUPERCRITICAL FLUIDS;

EXTRACTION;

CUSCUTA; CUSCUTA REFLEXA;

EID: 79956273756     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-008-0179-2     Document Type: Article

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