江蓠中类菌孢素氨基酸（MAAs）成分分析及提取研究

摘要

The constitutes of mycosporine-like amino acids （MAAs） in the Gracilariaceae were analyzed with HPLC, and the response surface method was used for modification of MAAs extraction. According to the theory of the orthogonal rotation combination experiment design, four factors and five levels of response surface was used to model the reaction. The factors＇ affection and the optimal reaction conditions were analyzed. The results showed that the main constituent of MAAs is porphyra-334. The extraction temperature and time, methanol concentration and the ratio of liquid to solid are the significant factors affecting the extraction of MAAs. A well-fitting quadratic polynomial regression model for the degree of MAAs was established after regression analysis with backward elimination and verified by a test. The optimal conditions are： the extraction temperature is 48.12℃; the extraction time is 1.85 h; the ratio of liquid to solid is 34：1 （mL：g）, the methanol concentration is 25%. The estimated best MAAs extraction rate is 4.943 mg/g, and the actual extraction rate is 4.893 mg/g and they matches well with each other. Thereby the good accuracy of the response surface regression model has been verified%利用高效液相色谱技术对江蓠（Gracilariaceae）中类菌孢素氨基~（MAAs）进行了分析，并采用响应面分析法对MAAs物质的提取工艺进行优化研究。根据正交旋转组合试验设计原理，采用四因素五水平的响应面分析法，依据回归分析确定各因素的显著程度及最优工艺条件。结果表明，江蓠中MAAs的主要成分为porphyra．334；提取温度、浸提时间、甲醇浓度及液固比为影响MAAs物质提取的显著因素。通过多元二次回归拟合模型响应面分析，得到最优工艺条件：提取温度48．12℃，液固比34：1．甲醇浓度25％，浸提时间1．85h，优化条件下预测提取率为4．943mg／g；试验值为4．893mg／g，试验值与预测值吻合较好，响应面回归模型的准确性得到验证。