Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Molecules |
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| Online Access: | http://www.mdpi.com/1420-3049/21/12/1754 |
| _version_ | 1818056964915068928 |
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| author | Sanawar Mansur Rahima Abdulla Amatjan Ayupbec Haji Akbar Aisa |
| author_facet | Sanawar Mansur Rahima Abdulla Amatjan Ayupbec Haji Akbar Aisa |
| author_sort | Sanawar Mansur |
| collection | DOAJ |
| description | 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 (R2 = 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. |
| first_indexed | 2024-12-10T12:37:13Z |
| format | Article |
| id | doaj.art-139b0c15f8704107b997d1e4d011f5d5 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-12-10T12:37:13Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-139b0c15f8704107b997d1e4d011f5d52022-12-22T01:48:37ZengMDPI AGMolecules1420-30492016-12-012112175410.3390/molecules21121754molecules21121754Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DADSanawar Mansur0Rahima Abdulla1Amatjan Ayupbec2Haji Akbar Aisa3Key Laboratory of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, ChinaKey Laboratory of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, ChinaKey Laboratory of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, ChinaKey Laboratory of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, ChinaA 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 (R2 = 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.http://www.mdpi.com/1420-3049/21/12/1754Rosa rugosaUPLC-DADquality controlfingerprint |
| spellingShingle | Sanawar Mansur Rahima Abdulla Amatjan Ayupbec Haji Akbar Aisa Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD Molecules Rosa rugosa UPLC-DAD quality control fingerprint |
| title | Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD |
| title_full | Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD |
| title_fullStr | Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD |
| title_full_unstemmed | Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD |
| title_short | Chemical Fingerprint Analysis and Quantitative Analysis of Rosa rugosa by UPLC-DAD |
| title_sort | chemical fingerprint analysis and quantitative analysis of rosa rugosa by uplc dad |
| topic | Rosa rugosa UPLC-DAD quality control fingerprint |
| url | http://www.mdpi.com/1420-3049/21/12/1754 |
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