近红外漫反射光谱法对不同产地山楂的定性鉴别和定量分析

目的：应用近红外光谱（NIRS）分析技术建立山楂药材产地的定性分析模型，同时建立山楂药材中绿原酸和金丝桃苷含量的定量分析模型。方法：采用判别分析方法对3个产地的药材进行鉴别。将近红外光谱与药材中绿原酸和金丝桃苷的含量进行关联，采用偏最小二乘（PLS）方法建立定量分析模型，并对光谱预处理方法和建模区间进行了考察。结果：判别分析模型预测准确率达到100%，3个产地药材之间存在明显的界限。绿原酸和金丝桃苷定量分析模型预测集相关系数Rp分别为0.9841和0.9869，预测均方根误差（RMSEP）分别为0.0981和0.0533。结论：建立的方法，能够应用于山楂的产地鉴别和含量分析，对其他药材的质量评价具有借鉴意义。

Objective: Near-infrared spectroscopy was applied to the geographical origin discrimination and content determination of hawthorn. Methods: Identification and content analysis of hawthorn was processed simultaneously. The discriminant analysis (DA) method was applied to discriminate the medicinal material from three origins. The diffuse reflectance spectra of samples were associated with the content of chlorogenic acid and hyperoside using the PLS method. The model was established after the comparison of different pretreatment methods and different spectra variables. Results: The discriminant analysis model had better predictive ability with 100% accuracy. The results showed that the correlation coefficients of the prediction models (Rp) were 0.9841 for chlorogenic acid and 0.9869 for hyperoside. In addition,the RMSEPs were 0.0981 and 0.0533,respectively. Conclusion: The proposed method can be used in origin discrimination and content determination of hawthorn,which can provide a reference for quality control of other raw materials.

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