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Determination and characterization of Poriae Cutis multi-component content based on wavelength conversion RP-HPLC method*
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Fan XU1, Jie YUAN2, 3, Jing-zhe PU2, 3, Chong HU2, 3, Ya-zhong ZHANG2, 3, 4, **, Shou-jin LIU1
Chinese Journal of Pharmaceutical Analysis | 2024, 44(2) : 214 - 223
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(2): 214-223
Ingredient Analys
Determination and characterization of Poriae Cutis multi-component content based on wavelength conversion RP-HPLC method*
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Fan XU1, Jie YUAN2, 3, Jing-zhe PU2, 3, Chong HU2, 3, Ya-zhong ZHANG2, 3, 4, **, Shou-jin LIU1
Affiliations
  • 1.School of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230012, China
  • 2.Anhui Institute for Food and Drug Control, Hefei 230051, China
  • 3.State Drug Administration Key Laboratory of Quality Research and Evaluation of Chinese Medicine, Hefei 230051, China
  • 4.Anhui Province Key Laboratory of Traditional Chinese Medicine Decoction Pieces of New Manufacturing Technology, Hefei 230012, China
Published: 2024-02-29 doi: 10.16155/j.0254-1793.2024.02.03
Outline
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Objective:

To comprehensively evaluate the quality of Poriae Cutis, and to establish a dual wavelength switching HPLC method for comparing the characteristic spectra of Poriae Cutis and studying the content of 11 triterpenoid components, to provide reference for the qualitative and quantitative research of Poriae Cutis.

Methods:

Agilent 5 HC-C18(2) column(250 mm×4.6 mm, 5 μm) was adopted. Acetonitrile solution (contain 3% tetrahydrofuran) (A) and 0.1% formic acid aqueous solution (B) were used as the mobile phase with gradient elution at a flow rate of 1.0 mL·min-1. The column temperature was 30 ℃ and the injection volume was 20 μL. The detection wavelengths were 210 and 243 nm.

Results:

The feature profiles developed were effective in identifying the 18 shared peaks. RSD for precision, repeatability and stability (48 h) tests were all less than 3.72%(n=6). The 11 chemical components to be measured were well separated, with good linearity in the mass range examined (all r ≥ 0.999 6). The average recovery rate was 95.4%-105.5%, and the RSD was 1.0%-3.1%. The RSDs of precision, repeatability, and stability (48 h) tests were all less than or equal to 3.0%(n=6). The results of similarity analysis showed that most of the origins of Poriae Cutis were very similar to each other. The results of content determination showed that among the 11 triterpenoid constituents, poricoic acid A accounted for the highest percentage in all batches of Poriae Cutis. In addition, the content of five components, poricoic acid A, dehydrotrametenolic acid, poricoic acid B, dehydroeburicoic acid and trametenolic acid, fluctuated relatively more, while the other components fluctuated more gently. No significant geographic variation in samples from different origins.

Conclusion:

A method for the determination of Poriae Cutis characteristics and multi-component content was established, which laid the foundation for quality control of Poriae Cutis.

Poriae Cutis  /  triterpenoids  /  specific chromatograms  /  content determination  /  wavelength conversion
Fan XU, Jie YUAN, Jing-zhe PU, Chong HU, Ya-zhong ZHANG, Shou-jin LIU. Determination and characterization of Poriae Cutis multi-component content based on wavelength conversion RP-HPLC method*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (2) : 214 -223 . DOI: 10.16155/j.0254-1793.2024.02.03
Year 2024 volume 44 Issue 2
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Article Info
doi: 10.16155/j.0254-1793.2024.02.03
  • Online Date:2026-03-13
  • Published:2024-02-29
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History
  • Revised:2023-11-22
Funding
Affiliations
    1.School of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230012, China
    2.Anhui Institute for Food and Drug Control, Hefei 230051, China
    3.State Drug Administration Key Laboratory of Quality Research and Evaluation of Chinese Medicine, Hefei 230051, China
    4.Anhui Province Key Laboratory of Traditional Chinese Medicine Decoction Pieces of New Manufacturing Technology, Hefei 230012, 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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