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Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD
Mansur, S (Mansur, Sanawar); Abdulla, R (Abdulla, Rahima); Ayupbec, A (Ayupbec, Amatjan); Aisa, HA (Aisa, Haji Akbar); Aisa, HA
2016
Source PublicationMOLECULES
ISSN1420-3049
Volume21Issue:2Pages:1-10
Abstract

A method based on ultra performance liquid chromatography with a diode array detector (UPLC-DAD) was developed for quantitative analysis of five active compounds and chemical fingerprint analysis of Rosa rugosa. Ten batches of R. rugosa collected from different plantations in the Xinjiang region of China were used to establish the fingerprint. The feasibility and advantages of the used UPLC fingerprint were verified for its similarity evaluation by systematically comparing chromatograms with professional analytical software recommended by State Food and Drug Administration (SFDA) of China. In quantitative analysis, the five compounds showed good regression (R-2 = 0.9995) within the test ranges, and the recovery of the method was in the range of 94.2%-103.8%. The similarities of liquid chromatography fingerprints of 10 batches of R. rugosa were more than 0.981. The developed UPLC fingerprint method is simple, reliable, and validated for the quality control and identification of R. rugosa. Additionally, simultaneous quantification of five major bioactive ingredients in the R. rugosa samples was conducted to interpret the consistency of the quality test. The results indicated that the UPLC fingerprint, as a characteristic distinguishing method combining similarity evaluation and quantification analysis, can be successfully used to assess the quality and to identify the authenticity of R. rugosa.

KeywordRosa Rugosa Uplc-dad Quality Control Fingerprint
DOI10.3390/molecules21121754
Indexed BySCI
WOS IDWOS:000392140100148
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/4715
Collection省部共建新疆特有药用资源利用重点实验室
资源化学研究室
Corresponding AuthorAisa, HA
Affiliation1.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Key Lab Xinjiang Indigenous Med Plants Resource U, Urumqi 830011, Peoples R China
2.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Key Lab Plant Resources & Chem Arid Reg, Urumqi 830011, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Mansur, S ,Abdulla, R ,Ayupbec, A ,et al. Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD[J]. MOLECULES,2016,21(2):1-10.
APA Mansur, S ,Abdulla, R ,Ayupbec, A ,Aisa, HA ,&Aisa, HA.(2016).Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD.MOLECULES,21(2),1-10.
MLA Mansur, S ,et al."Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD".MOLECULES 21.2(2016):1-10.
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