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Rapid determination of paeoniflorin and albiflorin in red peony root by near-infrared spectroscopy / 中草药
Article in Zh | WPRIM | ID: wpr-852226
Responsible library: WPRO
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.
Key words
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Traditional and Herbal Drugs Year: 2018 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Traditional and Herbal Drugs Year: 2018 Type: Article