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多重包埋技术在微囊化姜黄素中的应用

Application of multiple-embedding technology in microencapsulated curcumin
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摘要 姜黄素较差的溶解性和对氧化的高度敏感性,使其存在很大的应用局限,为此对多重包埋技术在微囊化姜黄素中的应用进行了研究。通过单因素试验,分析溶剂类别、溶解温度和时间以及油相蠕动泵频率、真空乳化机转速等因素对微囊化姜黄素产品的影响,确定了姜黄素最佳溶解工艺条件和一次包埋工艺条件;然后通过正交实验分析,针对产品感观质量和稳定性等因素,确定了合理的多重包埋技术微囊化姜黄素10%冷水溶性(Cold Water Solubility,CWS)产品配方。结果表明:最佳工艺条件是以丙酮作溶剂,溶解温度55℃、时间少于45 min,蠕动泵频率20 Hz,真空乳化机转速控制在15000 r/min;产品配方为12%姜黄素、25%聚乙二醇6000、3.5%吐温-60、35%辛烯基琥珀酸淀粉钠、4.5%dl-α生育酚、20%玉米淀粉。此项技术的应用很大程度上提高了姜黄素的水溶性、稳定性与生物利用度,拓宽了其应用范围和领域。 The curcumin’s poor solubility and high sensitivity to oxidation limit its application.Therefore,multiple�embedding technology in microencapsulated curcumin was studied.Through single factor test,the effects of solvent type,dissolution temperature and time,frequency of oil phase peristaltic pump,and rotation speed of vacuum emulsifying machine on microencapsulated curcumin were analyzed.The optimal dissolution process conditions and single embedding process conditions of curcumin were determined.Through the orthogonal experimental analysis,and using sensory and stability as indexes,the best formula of 10%Cold Water Solubility(CWS)microencapsulated curcumin by multiple embedding technology was determined.The results showed that the optimal process conditions were:acetone as solvent,dissolution temperature 55℃and dissolution time 45 min,peristaltic pump frequency 20 Hz,and rotation speed of vacuum emulsifying machine 15000 r/min.The product formula was curcumin 12%,polyethylene glycol 600025%,Tween-603.5%,sodium starch octenyl succinate 35%,dl-αtocopherol 4.5%,and corn starch 20%.The new process improves water solubility,stability and bioavailability of curcumin to a great extent,and extends its application range and field.
作者 周迪 王永奇 许新德 白亚龙 姚可欣 商景天 ZHOU Di;WANG Yongqi;XU Xinde;BAI Yalong;YAO Kexin;SHANG Jingtian(Xinchang Pharmaceutical Factory,Zhejiang Pharmaceutical Co.,Ltd.,Shaoxing 312500)
出处 《中国食品添加剂》 CAS 2024年第3期188-194,共7页 China Food Additives
关键词 姜黄素 壁材 纳米分散 微胶囊 多重包埋 curcumin wall material nano-dispersion microencapsulation multiple-embedding
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