A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method
Objective: To facilitate the quality evaluation suitable for the unique characteristics of Chinese materia medica (CMM) by developing and implementing a novel approach known as the matching frequency statistical moment (MFSM) method. Methods: This study established the MFSM method. To demonstrate it...
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KeAi Communications Co., Ltd.
2024-09-01
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| Series: | Digital Chinese Medicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S258937772400065X |
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| author | Haiying Li Xue Pan Mincun Wang Wenjiao Li Peng He Sheng Huang Fuyuan He |
| author_facet | Haiying Li Xue Pan Mincun Wang Wenjiao Li Peng He Sheng Huang Fuyuan He |
| author_sort | Haiying Li |
| collection | DOAJ |
| description | Objective: To facilitate the quality evaluation suitable for the unique characteristics of Chinese materia medica (CMM) by developing and implementing a novel approach known as the matching frequency statistical moment (MFSM) method. Methods: This study established the MFSM method. To demonstrate its effectiveness, we applied this novel approach to analyze Danxi Granules (丹膝颗粒, DXG) and its constituent herbal materials. To begin with, the ultra-performance liquid chromatography (UPLC) was applied to obtain the chromatographic fingerprints of DXG and its constituent herbal materials. Next, the MFSM was leveraged to compress and integrate them into a new fingerprint with fewer analytical units. Then, we characterized the properties and variability of both the original and integrated fingerprints by calculating total quantum statistical moment (TQSM) parameters, information entropy and information amount, along with their relative standard deviation (RSD). Finally, we compared the TQSM parameters, information entropy and information amount, and their RSD between the traditional and novel fingerprints to validate the new analytical method. Results: The chromatographic peaks of DXG and its 12 raw herbal materials were divided and integrated into peak families by the MFSM method. Before integration, the ranges of the peak number, three TQSM parameters, information entropy and information amount for each peak or peak family of UPLC fingerprints of DXG and its 12 raw herbal materials were 95.07 − 209.73, <styled-content style-type=''number''>9390</styled-content> − <styled-content style-type=''number''>183064</styled-content> μv·s, 5.928 − 21.33 min, 22.62 − 106.69 min2, 4.230 − 6.539, and <styled-content style-type=''number''>50530</styled-content> − <styled-content style-type=''number''>974186</styled-content> μv·s, respectively. After integration, the ranges of these parameters were 10.00 − 88.00, <styled-content style-type=''number''>9390</styled-content> − <styled-content style-type=''number''>183064</styled-content> μv·s, 5.951 − 22.02 min, 22.27 − 104.73 min2, 2.223 − 5.277, and <styled-content style-type=''number''>38159</styled-content> − <styled-content style-type=''number''>807200</styled-content> μv·s, respectively. Correspondingly, the RSD of all the aforementioned parameters before integration were 2.12% − 9.15%, 6.04% − 49.78%, 1.15% − 23.10%, 3.97% − 25.79%, 1.49% − 19.86%, and 6.64% − 51.20%, respectively. However, after integration, they changed to 0.00%, 6.04% − 49.87%, 1.73% − 23.02%, 3.84% − 26.85%, 1.17% − 16.54%, and 6.40% − 48.59%, respectively. The results demonstrated that in the newly integrated fingerprint, the analytical units of constituent herbal materials, information entropy and information amount were significantly reduced (P < 0.05), while the TQSM parameters remained unchanged (P > 0.05). Additionally, the RSD of the TQSM parameters, information entropy, and information amount didn’t show significant difference before and after integration (P > 0.05), but the RSD of the number and area of the integrated analytical units significantly decreased (P < 0.05). Conclusion: The MFSM method could reduce the analytical units of constituent herbal materials while maintain the properties and variability from their original fingerprint. Thus, it could serve as a feasible and reliable tool to reduce difficulties in analyzing multi-components within CMMs and facilitating the evaluation of their quality. |
| format | Article |
| id | doaj-art-4c807e9c64a345bd9d6b898ab2a7a8ea |
| institution | DOAJ |
| issn | 2589-3777 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | KeAi Communications Co., Ltd. |
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| series | Digital Chinese Medicine |
| spelling | doaj-art-4c807e9c64a345bd9d6b898ab2a7a8ea2025-08-20T02:40:06ZengKeAi Communications Co., Ltd.Digital Chinese Medicine2589-37772024-09-017329430810.1016/j.dcmed.2024.12.009A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment methodHaiying Li0Xue Pan1Mincun Wang2Wenjiao Li3Peng He4Sheng Huang5Fuyuan He6Hospital-Made Preparations Center, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan 410007, China; Hunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, ChinaHunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaHunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaHunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaHunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaJiuzhitang Co., Ltd., Changsha, Hunan 410205, ChinaHunan Provincial Key Laboratory of Drugability and Preparation Modification of TCM, Changsha, Hunan 410208, China; School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; Supramolecular Mechanism and Mathematic-Physics Characterization for Chinese Materia Medica, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; Property and Pharmacodynamic Key Laboratory of TCM, State Administration of Traditional Chinese Medicine, Changsha, Hunan 410208, China; Corresponding author.Objective: To facilitate the quality evaluation suitable for the unique characteristics of Chinese materia medica (CMM) by developing and implementing a novel approach known as the matching frequency statistical moment (MFSM) method. Methods: This study established the MFSM method. To demonstrate its effectiveness, we applied this novel approach to analyze Danxi Granules (丹膝颗粒, DXG) and its constituent herbal materials. To begin with, the ultra-performance liquid chromatography (UPLC) was applied to obtain the chromatographic fingerprints of DXG and its constituent herbal materials. Next, the MFSM was leveraged to compress and integrate them into a new fingerprint with fewer analytical units. Then, we characterized the properties and variability of both the original and integrated fingerprints by calculating total quantum statistical moment (TQSM) parameters, information entropy and information amount, along with their relative standard deviation (RSD). Finally, we compared the TQSM parameters, information entropy and information amount, and their RSD between the traditional and novel fingerprints to validate the new analytical method. Results: The chromatographic peaks of DXG and its 12 raw herbal materials were divided and integrated into peak families by the MFSM method. Before integration, the ranges of the peak number, three TQSM parameters, information entropy and information amount for each peak or peak family of UPLC fingerprints of DXG and its 12 raw herbal materials were 95.07 − 209.73, <styled-content style-type=''number''>9390</styled-content> − <styled-content style-type=''number''>183064</styled-content> μv·s, 5.928 − 21.33 min, 22.62 − 106.69 min2, 4.230 − 6.539, and <styled-content style-type=''number''>50530</styled-content> − <styled-content style-type=''number''>974186</styled-content> μv·s, respectively. After integration, the ranges of these parameters were 10.00 − 88.00, <styled-content style-type=''number''>9390</styled-content> − <styled-content style-type=''number''>183064</styled-content> μv·s, 5.951 − 22.02 min, 22.27 − 104.73 min2, 2.223 − 5.277, and <styled-content style-type=''number''>38159</styled-content> − <styled-content style-type=''number''>807200</styled-content> μv·s, respectively. Correspondingly, the RSD of all the aforementioned parameters before integration were 2.12% − 9.15%, 6.04% − 49.78%, 1.15% − 23.10%, 3.97% − 25.79%, 1.49% − 19.86%, and 6.64% − 51.20%, respectively. However, after integration, they changed to 0.00%, 6.04% − 49.87%, 1.73% − 23.02%, 3.84% − 26.85%, 1.17% − 16.54%, and 6.40% − 48.59%, respectively. The results demonstrated that in the newly integrated fingerprint, the analytical units of constituent herbal materials, information entropy and information amount were significantly reduced (P < 0.05), while the TQSM parameters remained unchanged (P > 0.05). Additionally, the RSD of the TQSM parameters, information entropy, and information amount didn’t show significant difference before and after integration (P > 0.05), but the RSD of the number and area of the integrated analytical units significantly decreased (P < 0.05). Conclusion: The MFSM method could reduce the analytical units of constituent herbal materials while maintain the properties and variability from their original fingerprint. Thus, it could serve as a feasible and reliable tool to reduce difficulties in analyzing multi-components within CMMs and facilitating the evaluation of their quality.http://www.sciencedirect.com/science/article/pii/S258937772400065XChromatographic fingerprintsAnalytical unitsMatching frequency statistical moment methodChinese materia medicaDanxi Granule (丹膝颗粒DXG) |
| spellingShingle | Haiying Li Xue Pan Mincun Wang Wenjiao Li Peng He Sheng Huang Fuyuan He A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method Digital Chinese Medicine Chromatographic fingerprints Analytical units Matching frequency statistical moment method Chinese materia medica Danxi Granule (丹膝颗粒 DXG) |
| title | A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method |
| title_full | A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method |
| title_fullStr | A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method |
| title_full_unstemmed | A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method |
| title_short | A novel method for integrating chromatographic fingerprint analytical units of Chinese materia medica: the matching frequency statistical moment method |
| title_sort | novel method for integrating chromatographic fingerprint analytical units of chinese materia medica the matching frequency statistical moment method |
| topic | Chromatographic fingerprints Analytical units Matching frequency statistical moment method Chinese materia medica Danxi Granule (丹膝颗粒 DXG) |
| url | http://www.sciencedirect.com/science/article/pii/S258937772400065X |
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