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Identification of Citri Sarcodactylis Fructus and Citri Fructus based on HPLC fingerprint coupled with multivariate data analysis
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Di WU1, 2, 3, Xiaoyuan LIN1, 2, Kai LIU1, 2, Yuhang CHEN4
Chinese Pharmaceutical Journal | 2024, 59(16) : 1504 - 1512
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Chinese Pharmaceutical Journal | 2024, 59(16): 1504-1512
Identification of Citri Sarcodactylis Fructus and Citri Fructus based on HPLC fingerprint coupled with multivariate data analysis
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Di WU1, 2, 3, Xiaoyuan LIN1, 2, Kai LIU1, 2, Yuhang CHEN4
Affiliations
  • 1 The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
  • 2 Key Laboratory of Research on Prevention and Treatment of Major Diseases in Chinese Internal Medicine and Transformation of Achievements of Ministry of Education, Changsha 410007, China
  • 3 Hunan Provincial University Key Laboratory of the Regional Characteristic Traditional Chinese Medicine Resources and Ecological Agriculture, Changsha 410219, China
  • 4 School of pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China
Published: 2024-08-22 doi: 10.11669/cpj.2024.16.008
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OBJECTIVE To investigate the feasibility of performing identification of Citri Sarcodactylis Fructus (CSF) and Citri Fructus (CF) based on high performance liquid chromatography (HPLC) fingerprint coupled with multivariate data analysis. METHODS HPLC method was applied to establish the fingerprints of CSF and CF. Similarity evaluation of 12 batches of CSF samples and 10 batches of CF samples was performed by Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System (2004A edition). Hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used for data analysis. RESULTS HPLC fingerprints of CSF and CF were established, respectively. The fingerprint similarities of CSF samples, as well as the fingerprint similarities of CF samples, were all greater than 0.9. The similarities between the fingerprints of CSF samples and the control fingerprint of CF, as well as the similarities between the fingerprints of CF samples and the control fingerprint of CSF, were all less than 0.9, which indicated significant differences in chemical composition between CSF and CF. The total 22 samples were divided into two groups by HCA, PCA and OPLS-DA, which was consistent with the two varieties. Three differential markers were screened by OPLS-DA and two of them were identified as 5, 7-dimethoxycoumarin and hesperidin by reference substances. The statistical analysis indicated that the ratio of absolute peak area (APA) of hesperidin and 5, 7-dimethoxycoumarin can distinguish CSF and CF from each other simply and accurately. CONCLUSION HPLC fingerprint coupled with multivariate data analysis can be used to identify CSF and CF.

Citri Sarcodactylis Fructus  /  Citri Fructus  /  high performance liquid chromatography fingerprint  /  hierarchical cluster analysis  /  principal component analysis  /  orthogonal partial least squares-discriminant analysis  /  variety identification
Di WU, Xiaoyuan LIN, Kai LIU, Yuhang CHEN. Identification of Citri Sarcodactylis Fructus and Citri Fructus based on HPLC fingerprint coupled with multivariate data analysis[J]. Chinese Pharmaceutical Journal, 2024 , 59 (16) : 1504 -1512 . DOI: 10.11669/cpj.2024.16.008
Year 2024 volume 59 Issue 16
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doi: 10.11669/cpj.2024.16.008
  • Receive Date:2024-01-26
  • Online Date:2025-10-29
  • Published:2024-08-22
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  • Received:2024-01-26
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Affiliations
    1 The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
    2 Key Laboratory of Research on Prevention and Treatment of Major Diseases in Chinese Internal Medicine and Transformation of Achievements of Ministry of Education, Changsha 410007, China
    3 Hunan Provincial University Key Laboratory of the Regional Characteristic Traditional Chinese Medicine Resources and Ecological Agriculture, Changsha 410219, China
    4 School of pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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