基于多酚成分的猕猴桃产地溯源技术研究

Classification of Kiwi Fruits According to Their Geographical Origin Based on Polyphenolic Compound Profile

摘要:

为探讨多酚成分对于猕猴桃产地溯源的可行性，采用高效液相色谱法测定河南西峡、陕西眉县、四川都江堰、湖北建始四个产地来源的猕猴桃样品中23种多酚物质的含量，对数据进行单变量方差分析、主成分分析、K近邻法分析、逐步判别分析，并建立产地溯源模型。结果表明，单变量方差分析和主成分分析无法有效地对猕猴桃产地进行区分；采用K近邻法对猕猴桃进行产地区分，K值为3时，交叉检验总体验证正确率最高，为96.0%，区分效果良好；采用逐步判别分析筛选出9种对猕猴桃产地溯源最有效的多酚成分指标，并建立判别模型，判别效果理想，回代检验的总体判别正确率、交叉检验总体验证正确率为均为100%。表明利用多酚成分结合适当的化学计量学方法对猕猴桃进行产地溯源是可行、有效的。

Abstract:

For the purpose of evaluating the possibility of identifying the geographical origin of kiwi fruits based on their polyphenolic profiles, the polyphenolic compounds of kiwi fruit samples from the Xixia of He’nan, the Meixian of Shaanxi, the Dujiangyan of Sichuan, and the Jianshi of Hubei province were determined by HPLC. The data were analyzed with a one-way analysis of variance (ANOVA), a principle component analysis (PCA), a K-nearest neighbors (KNN), and a stepwise linear discriminant analysis (SLDA). Subsequently, satisfactory classification models were proposed. The kiwi fruit samples could not be clearly classified by the one-way ANOVA and PCA analyses. The highest cross-validation rate of 96.0% was obtained when 3 was chosen as the K value. Nine polyphenolic compounds were introduced to the SLDA model, which had an overall correct classification rate and cross-validation (leave-one-out method) rate of 100%. These results demonstrate that the polyphenolic compound profiles could be successfully employed to classify the geographical origins of kiwi fruit if they are combined with the appropriate chemometric methods.