CAJ | 학술논문

测定普通油茶20个无性系的油茶籽仁活性成分（总皂苷、总黄酮、总多酚、总多糖、总蛋白）含量，应用SPSS 18.0分析成分间的相关性，建立曲线回归模型。结果表明：总皂苷含量与总黄酮含量、总多酚含量与总蛋白含量间均呈极显著的正相关，总皂苷-总黄酮回归方程为：Y ＝6.076＋10.698 X -8.824 X2＋3.871 X3，总多酚-总蛋白回归方程为：Y ＝0.045 X1.310，可以通过测定总黄酮及总蛋白的含量预测总皂苷和总多酚的含量，对简化皂苷和总多酚的复杂测定过程具有现实意义。
측정보통유다20개무성계적유다자인활성성분（총조감、총황동、총다분、총다당、총단백）함량，응용SPSS 18.0분석성분간적상관성，건립곡선회귀모형。결과표명：총조감함량여총황동함량、총다분함량여총단백함량간균정겁현저적정상관，총조감-총황동회귀방정위：Y ＝6.076＋10.698 X -8.824 X2＋3.871 X3，총다분-총단백회귀방정위：Y ＝0.045 X1.310，가이통과측정총황동급총단백적함량예측총조감화총다분적함량，대간화조감화총다분적복잡측정과정구유현실의의。
Determination of ordinary 20 clones of the tea seed kernel active ingredients ( total saponins , flavonoids , total polyphenol , total polysaccharides and total protein ) content, application of the correlation between the SPSS 18.0 analysis, curve regression model is established.The results showed that the content of total saponins and flavonoids content , total polyphenol content and total protein content were significantly positive correlation between , a total saponins flavonoids regression equation is:Y =6.076 +10.698 X-8.824 X2 +3.871 X3 ,total polyphenol , total protein , regression equation is:Y=0.045 X1.310 ,can be predicted by measur-ing the content of total flavonoids and total protein content of total saponins and total polyphenols ,to simplify the complex of saponins and total polyphenols determination process has a realistic significance.