DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang Hee Jo | - |
dc.contributor.author | Seong Mi Lee | - |
dc.contributor.author | Doo-Young Kim | - |
dc.contributor.author | Y Song | - |
dc.contributor.author | H Kim | - |
dc.contributor.author | M K Lee | - |
dc.contributor.author | Sei-Ryang Oh | - |
dc.contributor.author | Hyung Won Ryu | - |
dc.date.accessioned | 2023-04-18T16:33:26Z | - |
dc.date.available | 2023-04-18T16:33:26Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 1229-2737 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/31612 | - |
dc.description.abstract | Purpose 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.publisher | Springer | - |
dc.title | Extraction of seven major compounds from Agastache rugosa (Fisch. & C.A.Mey.) Kuntze: optimization study using response surface methodology | - |
dc.title.alternative | Extraction of seven major compounds from Agastache rugosa (Fisch. & C.A.Mey.) Kuntze: optimization study using response surface methodology | - |
dc.type | Article | - |
dc.citation.title | Journal of Applied Biological Chemistry | - |
dc.citation.number | 1 | - |
dc.citation.endPage | 89 | - |
dc.citation.startPage | 81 | - |
dc.citation.volume | 66 | - |
dc.contributor.affiliatedAuthor | Yang Hee Jo | - |
dc.contributor.affiliatedAuthor | Seong Mi Lee | - |
dc.contributor.affiliatedAuthor | Doo-Young Kim | - |
dc.contributor.affiliatedAuthor | Sei-Ryang Oh | - |
dc.contributor.affiliatedAuthor | Hyung Won Ryu | - |
dc.contributor.alternativeName | 조양희 | - |
dc.contributor.alternativeName | 이성미 | - |
dc.contributor.alternativeName | 김두영 | - |
dc.contributor.alternativeName | 송예수 | - |
dc.contributor.alternativeName | 김호철 | - |
dc.contributor.alternativeName | 이미경 | - |
dc.contributor.alternativeName | 오세량 | - |
dc.contributor.alternativeName | 류형원 | - |
dc.identifier.bibliographicCitation | Journal of Applied Biological Chemistry, vol. 66, no. 1, pp. 81-89 | - |
dc.identifier.doi | 10.3839/JABC.2023.012 | - |
dc.subject.keyword | Agastache rugose | - |
dc.subject.keyword | Optimum conditions | - |
dc.subject.keyword | Response surface methodology | - |
dc.subject.local | Response Surface Methodology (RSM) | - |
dc.subject.local | Response surface methodology | - |
dc.subject.local | Response-surface methodology | - |
dc.subject.local | response surface methodology | - |
dc.description.journalClass | Y | - |
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