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Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*
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Xin-bo ZHANG1, Yun-lan WANG1, Xuan LEI1, Ying ZHANG1, Xiao SONG1, 2, **
Chinese Journal of Pharmaceutical Analysis | 2024, 44(2) : 340 - 350
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(2): 340-350
Quality Contro
Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*
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Xin-bo ZHANG1, Yun-lan WANG1, Xuan LEI1, Ying ZHANG1, Xiao SONG1, 2, **
Affiliations
  • 1.Shaanxi University of Chinese Medicine, Xianyang 712046, China
  • 2.Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, China
Published: 2024-02-29 doi: 10.16155/j.0254-1793.2024.02.18
Outline
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Objective:

To evaluate the quality of honeyed Eriobotryae Folium from different habitats and to select the best habitat of honeyed Eriobotryae Folium preferentially based on high performance liquid chromatography fingerprinting and chemical pattern recognition methods.

Methods:

The detection was performed on an AcclaimTM 120A C18 (250 mm×4.6 mm, 5 μm) column with the mobile phase of 0.2% aqueous phosphoric acid (A)-acetonitrile (B) in gradient elution (0-5 min, 5%B; 5-6 min, 5%B→10%B; 6-20 min, 10%B; 20-50 min, 10%B→25%B; 50-60 min, 25%B). The volume flow rate was 1.0 mL·min-1, the detection wavelength was 327 nm, the column temperature was 30 ℃, and the injection volume was 10 μL. The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium from different habitats were established, and the fingerprint profiles combined with chemical pattern recognition were used to conduct comprehensive analysis of honeyed Eriobotryae Folium from different habitats. And cluster analysis(CA), principal component analysis (PCA) and comprehensive scoring were performed on honeyed Eriobotryae Folium from different habitats. Orthogonal partial least squares-discriminant analysis(OPLS-DA) was used to screen out the differential markers of honeyed Eriobotryae Folium from different habitats, and the habitats of honeyed Eriobotryae Folium were selected based on the comprehensive scoring.

Results:

The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium were established. Twelve common peaks were identified, and 4 peaks were identified as neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid and auriculoside according to the control finger. CA divided the 30 batches of Honeyed Eriobotryae Folium samples into 6 categories. By PCA, 3 principal components were extracted, with a cumulative variance contribution of 84.315%. Six differential markers were obtained according to OPLS-DA, two of which were identified as chrysoside and chlorogenic acid. The better habitats of honeyed Eriobotryae Folium were screened as Sichuan, Guangxi, Guangdong and Shaanxi according to the comprehensive score.

Conclusion:

Good precision, repeatability and stability results are obtained for fingerprinting and content determination. The combination of fingerprinting and chemical pattern recognition can comprehensively evaluate the quality of honeyed Eriobotryae Folium, and this method is stable and reliable, which can provide an effective reference basis for the habitat study of honeyed Eriobotryae Folium.

honeyed Eriobotryae Folium  /  Fingerprinting  /  chemical pattern recognition  /  principal component analysis  /  neochlorogenic acid  /  chlorogenic acid  /  cryptochlorogenic acid  /  auriculoside
Xin-bo ZHANG, Yun-lan WANG, Xuan LEI, Ying ZHANG, Xiao SONG. Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (2) : 340 -350 . DOI: 10.16155/j.0254-1793.2024.02.18
Year 2024 volume 44 Issue 2
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Article Info
doi: 10.16155/j.0254-1793.2024.02.18
  • Receive Date:2023-04-06
  • Online Date:2026-03-13
  • Published:2024-02-29
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History
  • Received:2023-04-06
Funding
Affiliations
    1.Shaanxi University of Chinese Medicine, Xianyang 712046, China
    2.Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, 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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