[关键词]
[摘要]
目的 建立近红外光谱法(NIR)测定芍药根中芍药苷和芍药内酯苷含量的方法,快速评价其质量。方法 从四川、安徽、浙江采集了65份芍药根样品,晒干。先用UPLC测定样品中芍药苷和芍药内酯苷的含量,并测定其近红外光谱。选择53份为校正集样品,12份为验证集样品;以UPLC测定的含量为参考值,运用偏最小二乘法,通过优化波段、光谱预处理方法和主因子数等参数,建立校正集样品芍药苷和芍药内酯苷含量与NIR之间的多元校正模型。根据未知样品(验证集)的NIR预测这2种药效成分的含量。结果 53份校正集样品芍药苷和芍药内酯苷的NIR预测值与UPLC测定值之间的标准偏差分别为1.437 2%和0.784 3%,相关系数分别为0.990 2和0.994 4。12份验证集样品芍药苷和芍药内酯苷的NIR预测值与UPLC测定值之间的标准偏差分别为0.714 5%和0.632 4%,相关系数分别为0.988 0和0.994 6。四川、安徽、浙江样品中这2种成分之和分别为5.49%、5.33%、4.81%。结论 NIR可快速同时测定芍药根中芍药苷和芍药内酯苷的含量,评价其质量。以这2种药效成分之和为指标,四川、安徽、浙江栽培的芍药根的质量相近,无显著性差异。
[Key word]
[Abstract]
Objective To develop a method for the measurement of the content of paeoniflorin and albiflorin in red peony root (the roots of Paeonia lactiflora, RPR) by near-infrared spectroscopy (NIR) for quality rapid assessment.Methods A total of 65 RPR samples were collected from Sichuan, Zhejiang and Anhui of China, and then quantified the content of paeoniflorin and albiflorin by NIR and ultra-high performance liquid chromatography (UPLC). Fifty-three samples were chosen as the calibration set, while the remaining 12 samples were assigned to external validation set. The calibration model of paeoniflorin and albiflorin was further developed by modified partial least squares (MPLS) using UPLC data as reference based on optimized spectral regions, pre-treament of spetrum and the number of principal divisors. The content of paeoniflorin and albiflorin in unknown samples (validation model) was predicted according to the validation set of NIR.Results The standard errors of prediction (SEP) for the contents between the predicted value of NIR method and the estimated value of UPLC method were 1.437 2% for paeoniflorin and 0.784 3% for albiflorin, and their correlation coefficient (R) were 0.990 2 for paeoniflorin) and 0.994 4 for albiflorin in 53 calibration set samples. Moreover, the SEP and R of that in 12 validation set samples were 0.714 5%, 0.988 0% for paeoniflorin, and 0.632 4, 0.994 6 for albiflorin, respectively. The sum of paeoniflorin and albiflorin in RPR cultivated in Sichuan, Anhui, and Zhejiang province in China were 5.49%, 5.33%, and 4.81%, respectively.Conclusion NIR can quantify the amounts of paeoniflorin and albiflorin quickly and simultaneously in RPR for quality rapid assessment. The quality of RPR cultivated in Sichuan, Anhui, and Zhejiang is similar based on the sum of these two bioactive compounds without significant differences.
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[基金项目]
四川省教育厅科研项目(16ZA0113);四川省科技计划项目(16FPZX0016)