Extraction of seven major compounds from Agastache rugosa (Fisch. & C.A.Mey.) Kuntze: optimization study using response surface methodology

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dc.contributor.authorYang Hee Jo-
dc.contributor.authorSeong Mi Lee-
dc.contributor.authorDoo-Young Kim-
dc.contributor.authorY Song-
dc.contributor.authorH Kim-
dc.contributor.authorM K Lee-
dc.contributor.authorSei-Ryang Oh-
dc.contributor.authorHyung Won Ryu-
dc.date.accessioned2023-04-18T16:33:26Z-
dc.date.available2023-04-18T16:33:26Z-
dc.date.issued2023-
dc.identifier.issn1229-2737-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/31612-
dc.description.abstractPurpose of this study is to demonstrate the The enhancement of the flavonoid contents from Agastache potential which can be obtained as raw materials for functional rugosa, in the food medicine industry by identifying important products for efficient preparation to save costs and time in terms of factors factors. For this reason, response surface methodology economic Box-Behnken design was used to optimize the extraction using for the maximum yield of seven major compounds conditions A. The optimum conditions were obtained with an fromorugosa. of 60.0%, a temperature of 50 C, and an concentrationethanol time of 33.6 min, meaning that the regression analysis extraction the experimental data well. Under these conditions, the seven fits compounds 1-7 had observed values of 2.169, 2.135, 0.697, major 0.105, 1.247, and 0.551%, respectively. These results show 2.485, Abstract the observed values are in good agreement with the predicted that in the regression model. This process for optimization values exhibited a basic protocol for obtaining stable ingredients study A. rugosa that are appropriate for the development of from effective functional products.-
dc.publisherSpringer-
dc.titleExtraction of seven major compounds from Agastache rugosa (Fisch. & C.A.Mey.) Kuntze: optimization study using response surface methodology-
dc.title.alternativeExtraction of seven major compounds from Agastache rugosa (Fisch. & C.A.Mey.) Kuntze: optimization study using response surface methodology-
dc.typeArticle-
dc.citation.titleJournal of Applied Biological Chemistry-
dc.citation.number1-
dc.citation.endPage89-
dc.citation.startPage81-
dc.citation.volume66-
dc.contributor.affiliatedAuthorYang Hee Jo-
dc.contributor.affiliatedAuthorSeong Mi Lee-
dc.contributor.affiliatedAuthorDoo-Young Kim-
dc.contributor.affiliatedAuthorSei-Ryang Oh-
dc.contributor.affiliatedAuthorHyung Won Ryu-
dc.contributor.alternativeName조양희-
dc.contributor.alternativeName이성미-
dc.contributor.alternativeName김두영-
dc.contributor.alternativeName송예수-
dc.contributor.alternativeName김호철-
dc.contributor.alternativeName이미경-
dc.contributor.alternativeName오세량-
dc.contributor.alternativeName류형원-
dc.identifier.bibliographicCitationJournal of Applied Biological Chemistry, vol. 66, no. 1, pp. 81-89-
dc.identifier.doi10.3839/JABC.2023.012-
dc.subject.keywordAgastache rugose-
dc.subject.keywordOptimum conditions-
dc.subject.keywordResponse surface methodology-
dc.subject.localResponse Surface Methodology (RSM)-
dc.subject.localResponse surface methodology-
dc.subject.localResponse-surface methodology-
dc.subject.localresponse surface methodology-
dc.description.journalClassY-
Appears in Collections:
Ochang Branch Institute > Division of National Bio-Infrastructure > Bio-Resource Central Bank > 1. Journal Articles
Ochang Branch Institute > 1. Journal Articles
Ochang Branch Institute > Natural Product Research Center > 1. Journal Articles
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