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Quality Evaluation of Forsythiae Fructus Based on HPLC Fingerprint and QAMS Multi-Component Content Determination
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Hanshuang DENG1, 2, Xiaoling LI1, 2, Xin WANG1, Lang ZHANG1, Jinjuan SUN3
Chinese Pharmaceutical Journal | 2024, 59(15) : 1429 - 1437
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Chinese Pharmaceutical Journal | 2024, 59(15): 1429-1437
Quality Evaluation of Forsythiae Fructus Based on HPLC Fingerprint and QAMS Multi-Component Content Determination
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Hanshuang DENG1, 2, Xiaoling LI1, 2, Xin WANG1, Lang ZHANG1, Jinjuan SUN3
Affiliations
  • 1 College of Biopharmaceutcal and Food Engineering, Shangluo University, Shangluo 726000, China
  • 2 Shaanxi Qinling Industrial Technology Research Institute of Special Biological Resources, Shangluo 726000, China
  • 3 Shaanxi Xiangju Pharmaceutical Goup Co.,Ltd, Shangluo 726000, China
Published: 2024-08-08 doi: 10.11669/cpj.2024.15.010
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OBJECTIVE To establish the HPLC fingerprint of Forsythiae Fructus and develop a multi-component quantitative analysis method based on quantitative analysis of multi-components by single-marker(QAMS). METHODS The fingerprints of 47 Forsythiae Fructus samples from four provinces, including Henan, Shandong, Shanxi and Shaanxi, were established by high performance liquid chromatography (HPLC), while their similarity was evaluated. Chemical pattern recognition of Forsythiae Fructus was studied by hierarchical cluster analysis (HCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The content of forsythoside B, forsythoside A, hyperin, arctiin, phillyrin and phillygenin were determined by using QAMS, and the differences of samples from different producing areas were analyzed. RESULTS The fingerprints of 47 Forsythiae Fructus samples were established with similarities ranged from 0.785 to 0.989, and a total of 30 common peaks were identified. According to HCA, the samples were divided into three groups. OPLS-DA analysis can effectively distinguish Forsythiae Fructus from several producing areas (Q2>0.5). There was no significant difference in the content of 6 components in 47 batches of samples by QAMS and external standard method (ESM) (P>0.05), but there was significant difference in the content of active components in samples from different origin (P<0.01). The average contents of forsythoside B, forsythoside A, hyperin, arctiin, phillyrin and phillygenin in samples from different provinces were, Henan(4.50、20.58、0.52、2.39、7.46、1.76 mg·g-1), Shandong(0.90, 9.26、0.36、1.39、3.84、3.87 mg·g-1), Shanxi(0.82、8.74、0.29、1.16、2.64、1.75 mg·g-1), Shaanxi(5.18、55.10、0.88、3.36、13.11、9.25 mg·g-1). CONCLUSION The chemical composition of Forsythiae Fructus samples from different locations was similar, but the origin factors had a significant effect on the content of active ingredients, and the samples from Shaanxi province had the highest content. The HPLC fingerprint combined with the simultaneous determination of multi-component content analysis method established in this study is stable and reliable. The fingerprint combined with the chemical pattern recognition can provide a basis for the identification of origins and quality evaluation of Forsythiae Fructus.

Forsythiae Fructus  /  fingerprint  /  HPLC  /  chemical pattern recognition  /  QAMS  /  quality evaluation
Hanshuang DENG, Xiaoling LI, Xin WANG, Lang ZHANG, Jinjuan SUN. Quality Evaluation of Forsythiae Fructus Based on HPLC Fingerprint and QAMS Multi-Component Content Determination[J]. Chinese Pharmaceutical Journal, 2024 , 59 (15) : 1429 -1437 . DOI: 10.11669/cpj.2024.15.010
Year 2024 volume 59 Issue 15
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doi: 10.11669/cpj.2024.15.010
  • Receive Date:2024-03-07
  • Online Date:2026-01-14
  • Published:2024-08-08
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  • Received:2024-03-07
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    1 College of Biopharmaceutcal and Food Engineering, Shangluo University, Shangluo 726000, China
    2 Shaanxi Qinling Industrial Technology Research Institute of Special Biological Resources, Shangluo 726000, China
    3 Shaanxi Xiangju Pharmaceutical Goup Co.,Ltd, Shangluo 726000, 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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