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Identification And Quality Assessment Of Peony Root Based On Chemical Constituents

Posted on:2017-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q LiuFull Text:PDF
GTID:2334330512466434Subject:Pharmacognosy
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Peony(Paeonia lactiflora Pall.) has medicinal and ornamental value. Its processed roots are divided into White Peony Root and Red Peony Root. The identification and quality assessment of Peony Root is more reasonable based on multiple chemical constituents. Peony are mainly cultivated in Sichuan, Zhejiang and Anhui of China. Therefore, the method of identification and quality assessment of Peony Root is established, which is based on multiple chemical constituents. And the quality of Peony Root was compared, which was from the three genuine producing areas. A scientific basis for GAP of Peony Root was offered. The research was carried out from four aspects:Firstly, the UHPLC fingerprint of Peony Root was established. By optimizing of chromatographic conditions, Peony Root UHPLC chromatogram with good separating degree was established.18 main peaks were separated, in which 8 peaks were identified. The 8 peaks were assigned as gallic acid* catechin, hydroxyl paeoniflorin, albiflorin, paeoniflorin, pentagalloyglucose, benzoylpaeoniflorin and paeonol. Peony Root UHPLC fingerprint is established based on the analysis and comparison of the UHPLC chromatogram of 68 representative samples (Peony Root) and 8 similar samples(Paeonia veitchii and tree peony).8 main peaks was chosen as characteristic peaks on UHPLC fingerprint. The correlation coefficient of between chromatograms and reference fingerprint was 0.506-0.995. The UHPLC fingerprint and correlation coefficient can differentiate Peony Root from related herbs.Secondly, the quality comparison of Peony Root in different cultivating areas:By optimizing the measurement chromatographic conditions, the UHPLC method was developed, which was used to determine the content of eight bioactive compounds in Peony Root within 30 min. An UHPLC technique was employed to quantify the amounts of 8 bioactive components in 66 Herbaceous Peony Roots (HPR) samples, which was collected from the main cultivating areas. These chemical components were also calculated by Principal Component Analysis (PCA). The contents of paeoniflorin in HPR samples collected from Sichuan, Zhejiang and Anhui were 40.54 (n= 23),33.09 (n= 22),39.47 (n= 21) mg/g, respectively. The values of PCA were 0.4435 (n= 23) for Sichuan HPR,0.0122 (n= 22) for Zhejiang HPR and-4.985 (n= 21) for Anhui HPR. The quality is various among HPR. cultivated in Sichuan, Zhejiang, Anhui of China on the basis of paeoniflorin amount or the value of PCA, but the quality of HPR cultivated in Sichuan is best. Moreover, it is suggested the HPR should be harvested in third or fourth year based on the output and quality.Thirdly, the Fourier Transform Infrared Spectroscopy (FT1R) fingerprint for Peony Root was established based on the analysis and comparison of the FTIR spectra of 30 representative samples (Peony Root) and 8 similar samples (Paeonia veitchii and tree peony). The results showed that all three medicinal materials contained calcium oxalate crystal ("Three peaks" were located at 1625,1318,780 cm-1). The content of calcium oxalate in Paeonia lactiflora was the highest, followed by Paeonia veitchii and Paeonia suffruticosa. All three medicinal materials were obvious different by comparing 1D-FTIR and the second-derivative spectrum. Therefore, FTIR spectrum can be used to identify the Peonia lacflora rapidly and accurately.Fourth, the contents of paeoniflorin and albiflorin in Paeonia lactiflora weic rapidly determined by NIR spectroscopy. The method was established based on the combination of NIR spectroscopy and chemometrics. The content of paeoniflorin and albiflorin in 65 Peony Root samples were determinated, the content of paeoniflorin and albiflorin in herbs quantified by UHPLC was used as reference.The squared error of prediction (SEP) was lower than 1.5, and the correlation coefficient of the amounts quantified by NIR and HUPLC was more than 0.97. The result indicated the predicted data by NIR was accurate. Thus, NIR can be applied to rapid evaluation of Paeonia lactiflora quality.In addition, the chemical constituents and pharmacological effects in Peony (Paeonia lactiflora Pall.) were summarized in this thesis, which is useful for the clinical uses and development of related products.
Keywords/Search Tags:Paeonia lactiflora Pall., Paeoniflorin, Albiflorin, Fingerprint, UHPLC, FTIR, NIR
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