近红外光谱法测定三七中3种皂苷的总含量

目的:建立三七(Panax notoginseng(Burk.) F.H.Chen)药材中3种皂苷(三七皂苷R₁、人参皂苷Rg₁、人参皂苷Rb₁)的近红外定量分析模型,以快速分析药材质量。方法:按照2015年版中国药典三七项下的药材含量测定方法测定72批三七药材中3种皂苷的含量。采集三七药材近红外光谱,用标准正则变换(SNV)、一阶导数(db1)对光谱进行预处理,结合偏最小二乘法建立三七皂苷的近红外定量分析模型。结果:67批三七样品所建立的模型预测集相关系数(r)=0.9903,校正集均方根偏差(RMSEC)=0.3535,预测集均方根偏差(RMSEP)=0.4580;采用5批建模外的三七样品对模型进行验证,验证集预测平均回收率为101.12%。结论:本研究所建立的模型性能较好,对三七中3种皂苷的总含量预测准确,可用于三七药材质量的快速检测。近红外光谱技术快速、简便、准确的特点,为三七药材质量控制提供了依据。

Objective: To establish an NIR(near-infrared) quantitative analysis model of three saponins (notoginsenoside R₁, ginsenoside Rg₁, ginsenoside Rb₁) in Notoginseng Radix et Rhizoma, so as to quickly analyze the quality of medicinal materials.Methods: The contents of three saponins in 72 batches of Notoginseng Radix et Rhizoma were determined according to Chinese Pharmacopoeia(2015).Near infrared spectroscopy was collected, and standard normal variate(SNV) and the first derivative(db1) were used to pretreatment spectra.In addition, a notoginsenoside near-infrared(NIR) quantitative analysis model was established combining with partial least square method.Results: The established model of 67 batches of Notoginseng Radix et Rhizoma showed that the correlation coefficient was (r)=0.990 3, calibration set root mean square deviation was(RMSEC)=0.353 5, the prediction set root mean square deviation was(RMSEP)=0.458 0.Then, we validated the model applying five Panax notoginseng samples beyond the established model, and the forecast average recovery of validation set was 101.12%.Conclusion: The established model in this study is accurate enough to determine the content of three saponins in Panax notoginseng.It can be used in quality testing of Panax notoginseng.Near infrared spectroscopy is fast, simple and accurate, which provides a basis for quality control of Panax notoginseng.decoction Pieces.

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