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引用本文:王仁杰,王凯玉,过科家,卜晶,黄丹芍,赵宇,陈盛君.Box-Behnken响应面法优化高良姜挥发油的包合工艺研究[J].中国现代应用药学,2020,37(19):2356-2361.
WANG Renjie,WANG Kaiyu,GUO Kejia,BU Jing,HUANG Danshao,ZHAO Yu,CHEN Shengjun.Optimization for Inclusion Process of Alpinia Officinarum Hance Volatile Oil by Box-Behnken Response Surface Methodology[J].Chin J Mod Appl Pharm(中国现代应用药学),2020,37(19):2356-2361.
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Box-Behnken响应面法优化高良姜挥发油的包合工艺研究
王仁杰, 王凯玉, 过科家, 卜晶, 黄丹芍, 赵宇, 陈盛君
江阴天江药业有限公司, 江苏 江阴 214434
摘要:
目的 优化胶体磨法制备高良姜挥发油β-环糊精(β-cyclodextrin,β-CD)包合物的工艺。方法 在单因素试验基础上采用Box-Behnken响应面法,以包合物得率和包合率为评价指标,考察β-CD与高良姜挥发油的比例、水与β-CD的比例以及包合时间对包合工艺的影响;通过红外光谱法和显微影像法初步验证高良姜挥发油β-CD包合物的生成。结果 高良姜挥发油的最佳包合工艺为β-CD与高良姜挥发油的比例为10∶1,水与β-CD的比例为5∶1,包合时间为45 min。结论 胶体磨法包合高良姜挥发油合理、可行。
关键词:  高良姜挥发油  β-环糊精  胶体磨  包合工艺  响应面优化
DOI:10.13748/j.cnki.issn1007-7693.2020.19.010
分类号:R943
基金项目:工信部智能制造综合标准化与新模式应用项目
Optimization for Inclusion Process of Alpinia Officinarum Hance Volatile Oil by Box-Behnken Response Surface Methodology
WANG Renjie, WANG Kaiyu, GUO Kejia, BU Jing, HUANG Danshao, ZHAO Yu, CHEN Shengjun
Jiangyin Tianjiang Pharmaceutical Co., Ltd., Jiangyin 214434, China
Abstract:
OBJECTIVE To optimize the preparation process of Alpinia officinarum Hance volatile oil wrapped with b-cyclodextrin(b-CD) using the colloid mill method. METHODS With yield of inclusion compound and inclusion rate as evaluation indexes, the single factor test combining Box-Behnken response surface methodology was used to study the effects of the ratio of b-CD to Alpinia officinarum Hance volatile oil, the ratio of water to b-CD, and inclusion time on the inclusion process. Inclusion complexes were verified by IR and microscopic image. RESULTS The optimized parameters of inclusion were as follows:the ratio of b-CD to Alpinia officinarum Hance volatile oil was 10:1, the ratio of water to b-CD was 5:1, and the inclusion time was 45 min. CONCLUSION The inclusion of Alpinia officinarum Hance volatile oil by colloid mill is reasonable and feasible.
Key words:  Alpinia officinarum Hance volatile oil  β-cyclodextrin  colloid mill  inclusion process  response surface optimization
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