为实现对成安草莓的快速鉴别，本文采集了不同产地草莓样品的近红外吸收光谱, 选择不同的光谱范围，经二阶导数、一阶导数+矢量归一化、最小-最大归一化等预处理，利用因子化法、合格性测试和主成分分析法（PCA）建立了成安草莓的鉴别模型，并取样对该模型进行验证。结果表明：三种模式识别方法对于其他产地草莓的识别正确率高于93.3%，因此认为，采用近红外光谱结合模式识别技术可快速、准确地鉴别成安草莓的真伪。

In order to determine the authenticity of Cheng’an strawberry, near infrared spectra of sample from different areas were adopted in the study. Near infrared spectra were pretreated with second derivate, first derivate, SNV and 5 points moving-smooth to set up a model of identification of samples based on factor analysis qualification testing and principal component analysis (PCA). The results showed that the identifying rate of Cheng’an strawberry from different area samples tested by three models on the basis of pattern recognition was greater than 93.3%. In conclusion, near-infrared spectroscopy pattern recognition technology had significant potential as a rapid and accurate method for identification of Cheng’an strawberry.

河北省科技支撑计划项目（12221003D）