响应曲面法橄榄油微胶囊化工艺优化研究

梁佳钰, 杨春莉, 车丹, 柳双双, 王莹, 杨春瑜

包装工程(技术栏目) ›› 2019 ›› Issue (7) : 11-18.

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包装工程(技术栏目) ›› 2019 ›› Issue (7) : 11-18. DOI: 10.19554/j.cnki.1001-3563.2019.07.002

响应曲面法橄榄油微胶囊化工艺优化研究

  • 梁佳钰1, 车丹1, 柳双双1, 王莹1, 杨春瑜1, 杨春莉2
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Optimization of Microencapsulation of Olive Oil by Response Surface Methodology

  • LIANG Jia-yu1, CHE Dan1, LIU Shuang-shuang1, WANG Ying1, YANG Chun-yu1, YANG Chun-li2
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摘要

目的 通过响应曲面试验确定制备橄榄油微胶囊的最佳工艺。方法 以大豆分离蛋白和黑木耳多糖为新型壁材,橄榄油为芯材,亚麻籽胶为乳化剂,采用乳液聚合-冷冻干燥法制备橄榄油微胶囊,其实验指标为包埋率,并利用透射电镜观察微胶囊的形态。结果 在固形物质量分数为15.4%、壁芯材体积比为5︰1、乳化剂的质量分数为0.24%的条件下,包埋率可达到77.22%。 通过透射电镜观察微胶囊形态可知,橄榄油微胶囊基本呈圆球形,分布均匀,包埋效果较好。结论 响应曲面试验可以很好地对橄榄油微胶囊的制备工艺条件进行优化,制备的橄榄油微胶囊对橄榄油的抗氧化作用有着加强效果。

Abstract

To determine the optimal encapsulation technology of olive oil through response surface methodology (RSM). Isolated soybean protein and polysaccharides from Auricularia auricula were used as new wall materials, olive oil was used as core materials and linseed gum was used as emulsifier to prepare olive oil microcapsules by emulsion polymerization-freeze drying method. The experimental index was embedding rate and the microcapsules was observed by morphology of transmission electron microscope. Under the conditions of solid content of 15.4%, wall-core ratio of 5︰1 and emulsifier content of 0.24%, the embedding rate reached 77.22%. The transmission electron microscope observing results showed that the microcapsules of olive oil were basically spherical, evenly distributed and with good embedding condition. RSM can be used to optimize the preparation conditions of olive oil microcapsules. The final microcapsules of olive oil have better antioxidant effect than olive oil.

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梁佳钰, 杨春莉, 车丹, 柳双双, 王莹, 杨春瑜. 响应曲面法橄榄油微胶囊化工艺优化研究[J]. 包装工程(技术栏目). 2019(7): 11-18 https://doi.org/10.19554/j.cnki.1001-3563.2019.07.002
LIANG Jia-yu, YANG Chun-li, CHE Dan, LIU Shuang-shuang, WANG Ying, YANG Chun-yu. Optimization of Microencapsulation of Olive Oil by Response Surface Methodology[J]. Packaging Engineering. 2019(7): 11-18 https://doi.org/10.19554/j.cnki.1001-3563.2019.07.002

基金

哈尔滨市科技局应用技术研究与开发优秀学科带头人项目(2016RAXXJ003);黑龙江省教育厅资助项目(12511123)

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