Optimization of C-phycocyanin Photoproduction in Spirulina platensis and Extraction Conditions

近年来，随着海洋生物学研究的不断深入，发现了许多海洋生物尤其是大量藻类具有特殊的药用和营养价值。其中螺旋藻（Spinulinaplatensis）中的藻蓝蛋白（C-phycocyanin，C-PC）以其特有的营养和保健价值受到广泛的重视。藻蓝蛋白具有水溶性好、无毒且着色力强等优点，因而被广泛用于食品着色剂和化妆品添加剂，另外藻蓝蛋白具有抗氧化、抗突变、抗肿瘤、抗病毒、增强免疫力、清除自由基、保肝、降血脂等功效，这为螺旋藻在功能性食品和药品领域的应用开发提供了依据。 本文以螺旋藻为研究对象，首先设计了一个性能优良的光生物反应器，选用Zarrouk培养基，在初始培养条件：氮源为30mM硝酸钠，碳...In recent years, many marine organisms, especially a lot of algaes were found with the intensive study of marine biology. Blue-green algae Spirulina platensis is gaining more and more attentions as a nutraceutical and source of potential pharmaceuticals. The biological and pharmaceutical properties of Spirulina sp. were mainly attributed to C-phycocyanin (C-PC). C-phycocyanin, a non-toxic water-so...学位：工学硕士院系专业：化学化工学院_化学工程学号：2062011115147

Optimization of the Extraction Conditions of C-phycocyanin from Spirulina platensis Using Response Surface Analysis

藻蓝蛋白具有较高的营养和医用价值,为进一步提高其萃取效率,本研究通过响应曲面(rESPOnSE SurfACE METHOdOlOgy,rSM)的方法,对螺旋藻藻蓝蛋白的萃取条件进行优化.结果表明,萃取时间和萃取温度的交互作用对藻蓝蛋白得率的影响最为显著;而实验所得模型的拟合性较好(r2=0.955 0),得到的最佳萃取工艺条件为:质量浓度为2.0Mg/Ml、萃取时间为37.14H、萃取温度为25.61℃,在此萃取条件下得到的藻蓝蛋白得率为13.66%,较优化前提高了32.8%,与模型预测值13.72%接近.Due to high nutritional and medical values of C-phycocyanin,it is important to improve the efficiency of C-phycocyanin extraction.Optimization of the extraction conditions of C-phycocyanin from Spirulina platensis was studied by the response surface methodology(RSM).The results showed that the interaction between extraction time and extraction temperature had a most significant effect on the extraction efficiency of C-phycocyanin.The mathematical model fit well by aR2 of 0.955 0to optimize C-phycocyanin extraction.The optimization conditions were as follows:a solid-to-liquid ratio of 2mg/mL,extraction time of 37.14h,and extraction temperature of 25.61℃.The obtained C-phycocyanin content was 13.66%under these conditions,which was about 32.8%higher than that obtained under non-optimized conditions and perfectly matched the predicted value(13.72%).海洋公益性行业科研专项(201205020-2