Optimization of Microwave-Assisted Extraction (MAP) † for Ginseng Components by Response Surface Methodology
Response surface methodology (RSM) was applied to predict optimum conditions for microwave-assisted extractiona MAP technologyof saponin components from ginseng roots. A central composite design was used to monitor the effect of ethanol concentration (30−90%, X 1) and extraction time (30−270 s, X...
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Published in | Journal of agricultural and food chemistry Vol. 51; no. 7; pp. 1807 - 1810 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Washington, DC
American Chemical Society
26.03.2003
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Subjects | |
Online Access | Get full text |
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Summary: | Response surface methodology (RSM) was applied to predict optimum conditions for microwave-assisted extractiona MAP technologyof saponin components from ginseng roots. A central composite design was used to monitor the effect of ethanol concentration (30−90%, X 1) and extraction time (30−270 s, X 2) on dependent variables, such as total extract yield (Y 1), crude saponin content (Y 2), and saponin ratio (Y 3), under atmospheric pressure conditions when focused microwaves were applied at an emission frequency of 2450 MHz. In MAP under pre-established conditions, correlation coefficients (R 2) of the models for total extract yield and crude saponin were 0.9841 (p < 0.001) and 0.9704 (p < 0.01). Optimum extraction conditions were predicted for each variable as 52.6% ethanol and 224.7 s in extract yield and as 77.3% ethanol and 295.1 s in crude saponins, respectively. Estimated maximum values at predicted optimum conditions were in good agreement with experimental values. Keywords: Microwave-assisted processes; response surface factor; ginseng; saponins; optimization of extraction parameters |
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Bibliography: | http://dx.doi.org/10.1021/jf026068a MAP is a trademark of Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment. istex:4216829110E6A74685D7B053A55612C180ACA31E ark:/67375/TPS-0ZPT819G-9 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0021-8561 1520-5118 |
DOI: | 10.1021/jf026068a |