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Quality evaluation of leaves of Cunninghamia lanceolata from different habitats by fingerprint and multi-component quantification combined with chemical pattern recognition*
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Mei-mei GAO1, 2, Jian-you HUANG3, 4, **, Ya-nan ZHAI1, 2, Ling-feng JIANG2, **, Guo-shou LU3, Xiao-xi HU3, Xue-qing XIA1, Dong-mei LI3
Chinese Journal of Pharmaceutical Analysis | 2024, 44(5) : 882 - 892
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(5): 882-892
Quality Control
Quality evaluation of leaves of Cunninghamia lanceolata from different habitats by fingerprint and multi-component quantification combined with chemical pattern recognition*
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Mei-mei GAO1, 2, Jian-you HUANG3, 4, **, Ya-nan ZHAI1, 2, Ling-feng JIANG2, **, Guo-shou LU3, Xiao-xi HU3, Xue-qing XIA1, Dong-mei LI3
Affiliations
  • 1.Graduate School of Guangxi University of Chinese Medicine, Nanning 530200, China
  • 2.Scientific Experimental Center of Guangxi University of Traditinal Chinese Medicine, Nanning 530200, China
  • 3.Guangxi Institute of Traditional Medical and Pharmaceutical Sciences, Nanning 530022, China
  • 4.Guangxi Key Laboratory of Traditional Chinese Medicine Quality Standards, Nanning 530022, China
Published: 2024-05-31 doi: 10.16155/j.0254-1793.2024.05.17
Outline
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Objective:

To base on the method of HPLC fingerprint,multi-component quantification and chemical pattern recognition,to evaluate the quality of leaves of Cunninghamia lanceolata from different producing areas and to provide basis for further development and utilization.

Methods:

High-performance liquid chromatography (HPLC) was used to determine the contents of amentoflavone,bilobetin,hinokiflavone,ginkgetin,isoginkgetin and sciadopitysin in the Cunninghamia lanceolata. Fingerprints of 10 batches of Cunninghamia lanceolata from different habitats were established. Based on the common peak area of the fingerprint,the overall quality of Cunninghamia lanceolata was evaluated by principal component analysis(PCA),orthogonal partial least squares discriminant analysis(OPLS-DA),statistical analysis,and pattern recognition chemometrics methods.

Results:

A total of 14 common peaks in 10 batches of leaves of Cunninghamia lanceolata,and the similarity ranged from 0.955 to 1.000 with good consistency. The mass fractions of six biflavones in the sample were 2.42-5.24 mg·g-1,0.10-0.24 mg·g-1,1.55-3.67 mg·g-1,0.21-0.89 mg·g-1,0.10-0.24 mg·g-1 and 0.51-2.39 mg·g-1,respectively,including amentoflavone,bilobetin,hinokiflavone,ginkgetin,isoginkgetin and sciadopitysin. According PCA,the difference in the quality of Cunninghamia lanceolata from different habitats was further evaluated. Ten batches of medicinal materials were divided into three major categories,and four main factors affecting the classification of Cunninghamia lanceolata were found. Finally,OPLS-DA screened the excellent spectral peaks 6,12,7 (7-demethylated ginkgo biloba biflavone),13 (kumatsu biflavone),5 (Amentotaxus argotaenia biflavone),9 (chamaecypress biflavone) and 2,etc,seven differential markers can be used to distinguish different batches of Cunninghamia lanceolata.

Conclusion:

The established method is simple to stable and reliable. Combined with chemical pattern recognition,it can be used for the quality evaluation of Cunninghamia lanceolata.

leaves of Cunninghamia lanceolata  /  fingerprints  /  similarity evaluation  /  content determination  /  chemical pattern recognition  /  cluster analysis  /  principal component analysis  /  biflavone  /  orthogonal partial least squares discriminant analysis
Mei-mei GAO, Jian-you HUANG, Ya-nan ZHAI, Ling-feng JIANG, Guo-shou LU, Xiao-xi HU, Xue-qing XIA, Dong-mei LI. Quality evaluation of leaves of Cunninghamia lanceolata from different habitats by fingerprint and multi-component quantification combined with chemical pattern recognition*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (5) : 882 -892 . DOI: 10.16155/j.0254-1793.2024.05.17
Year 2024 volume 44 Issue 5
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Article Info
doi: 10.16155/j.0254-1793.2024.05.17
  • Receive Date:2023-06-25
  • Online Date:2026-03-20
  • Published:2024-05-31
Article Data
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History
  • Received:2023-06-25
Funding
Affiliations
    1.Graduate School of Guangxi University of Chinese Medicine, Nanning 530200, China
    2.Scientific Experimental Center of Guangxi University of Traditinal Chinese Medicine, Nanning 530200, China
    3.Guangxi Institute of Traditional Medical and Pharmaceutical Sciences, Nanning 530022, China
    4.Guangxi Key Laboratory of Traditional Chinese Medicine Quality Standards, Nanning 530022, 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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