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目的:采用近红外光谱技术(NIRS)结合TQ软件对不同产地野菊花进行定性定量分析。方法:运用近红外漫反射光谱技术采集不同产地野菊花药材的NIR光谱,采用TQ软件中的判别分析法对不同产地野菊花进行产地判别;采用HPLC法测定野菊花中绿原酸含量,偏最小二乘法对不同产地野菊花药材中的绿原酸进行定量预测,分别建立了定性定量分析模型,并对模型进行了验证。结果:所建定性模型可快速准确鉴别出不同产地的野菊花药材,验证集样品错判例数为0;绿原酸定量预测模型的校正集内部交叉验证相关系数(R2),校正均方差(RMSEC)和预测均方差(RMSEP)分别为0.995 38,0.008 12和0.012 8。结论:定性定量模型可准确地对不同产地野菊花进行定性定量分析,该方法简便可靠,可用于野菊花药材的快速质量分析。
Objective: To qualitative and quantitative analysis of wild chrysanthemum flowers by near infrared spectroscopy (NIRS) and TQ software. Methods: Near-infrared diffuse reflectance spectroscopy was used to collect the NIR spectra of wild chrysanthemum medicinal materials from different areas. Discriminant analysis was used to determine the origin of Chrysanthemum indicum in different areas by TQ software. The content of chlorogenic acid in Chrysanthemum morifolium was determined by HPLC. The second-order multiplication method was used to quantitatively predict the chlorogenic acid in the wild chrysanthemum medicinal materials from different areas. Qualitative and quantitative analysis models were established respectively and the models were validated. Results: The established qualitative model can quickly and accurately identify the wild chrysanthemum medicinal materials in different producing areas. The number of false positive examples in the validation set is 0; the cross-validation correlation coefficient (R2) and the mean square error of correction (RMSEC) in the calibration set of the chlorogenic acid quantitative prediction model ) And predicted mean square error (RMSEP) were 0.995 38,0.008 12 and 0.012 8, respectively. Conclusion: The qualitative and quantitative model can accurately and quantitatively analyze the wild chrysanthemum in different habitats. The method is simple and reliable and can be used for rapid quality analysis of wild chrysanthemum medicinal materials.