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Study on identification of key quality control indicators of Crataegi Fructus slices based on “appearance characteristics-chemical composition” correlation model
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Fang LÜ1, Meng-yu SUN1, Wei LIU1, Jia-mu MA1, Chang-qi ZHAI2, 3, 4, Xiao-dan QI2, 3, 4, Feng ZHANG1, Ming-xia LI1, Le-tian YING1, Gai-mei SHE1, *
Chinese Journal of New Drugs | 2026, 35(10) : 1046 - 1056
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Chinese Journal of New Drugs | 2026, 35(10): 1046-1056
Study on identification of key quality control indicators of Crataegi Fructus slices based on “appearance characteristics-chemical composition” correlation model
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Fang LÜ1, Meng-yu SUN1, Wei LIU1, Jia-mu MA1, Chang-qi ZHAI2, 3, 4, Xiao-dan QI2, 3, 4, Feng ZHANG1, Ming-xia LI1, Le-tian YING1, Gai-mei SHE1, *
Affiliations
  • 1School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
  • 2Dong'e Ejiao Co., Ltd., Liaocheng 252200, China
  • 3Shandong Technology Innovation Center of Gelatin-based Traditional Chinese Medicine, Liaocheng 252200, China
  • 4National Engineering Technology Research Center for Gelatin-based Traditional Chinese Medicine, Shandong Key Laboratory of Gelatine TCM Research and Development, Dong'e Ejiao Co., Ltd., Liaocheng 252200, China
Published: 2026-05-30 doi: 10.20251/j.cnki.1003-3734.2026.10.006
Outline
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Objective:

To construct the correlation model of "appearance characteristics-chemical components" of Crataegi Fructus by integrating appearance characteristics (diameter, thickness and total mass) and internal quality indicators (water content, extract, total ash and HPLC characteristic spectrum) to identify the key quality control indicators of Crataegi Fructus.

Methods:

After measuring the indicators, principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), factor analysis (FA) and IQR variability analysis were used for data mining, and key indicators were determined by cross-validation of multiple methods.

Results:

PCA and OPLS-DA identified seven indicators, including water content, chlorogenic acid, cryptochlorogenic acid, et al. FA extracted cryptochlorogenic acid, hyperoside, and isoquercitrin. IQR analysis yielded 11 variability indicators. Overall, cryptochlorogenic acid and hyperoside were identified as core indicators across all three analytical methods.

Conclusion:

The correlation model of "appearance characteristics-chemical composition" of Crataegi Fructus was established, and the key quality control indexes were determined as cryptochlorogenic acid and hyperoside, which provided a new research method for the standardization of quality of Chinese herbal slices.

Crataegi Fructus  /  key indicators  /  quality evaluation
吕芳, 孙梦豫, 刘薇, 马嘉慕, 翟昌琪, 齐晓丹, 张凤, 黎明霞, 应乐天, 折改梅. 基于“外观性状-化学成分”关联模型的山楂饮片质量控制关键指标辨识研究. 中国新药杂志, 2026 , 35 (10) : 1046 -1056 . DOI: 10.20251/j.cnki.1003-3734.2026.10.006
Fang LÜ, Meng-yu SUN, Wei LIU, Jia-mu MA, Chang-qi ZHAI, Xiao-dan QI, Feng ZHANG, Ming-xia LI, Le-tian YING, Gai-mei SHE. Study on identification of key quality control indicators of Crataegi Fructus slices based on “appearance characteristics-chemical composition” correlation model[J]. Chinese Journal of New Drugs, 2026 , 35 (10) : 1046 -1056 . DOI: 10.20251/j.cnki.1003-3734.2026.10.006
Appendix
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Year 2026 volume 35 Issue 10
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Article Info
doi: 10.20251/j.cnki.1003-3734.2026.10.006
  • Online Date：2026-10-26
  • Published：2026-05-30
Article Data
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History
  • Accepted：2025-08-28
Funding
Affiliations
    1School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
    2Dong'e Ejiao Co., Ltd., Liaocheng 252200, China
    3Shandong Technology Innovation Center of Gelatin-based Traditional Chinese Medicine, Liaocheng 252200, China
    4National Engineering Technology Research Center for Gelatin-based Traditional Chinese Medicine, Shandong Key Laboratory of Gelatine TCM Research and Development, Dong'e Ejiao Co., Ltd., Liaocheng 252200, China
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https://castjournals.cast.org.cn/joweb/zgxyzz/EN/10.20251/j.cnki.1003-3734.2026.10.006
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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