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Construction of Hengshan Astragalus fingerprint and identification of its origin based on ultra performance liquid chromatography-charged aerosol detector
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Ying-Ying ZHAO1, Ruo-Yu WANG2, 3, Kai-Zhi WU1, Yun-Lan LIAN2, Zhi-Lai ZHAN4, Bao-Peng DING5, Li-Ting YANG1, Wen-Cui ZHANG1, Xiao-Qin ZHAO1, Juan DU2, *
Journal of Food Safety & Quality | 2025, 16(8) : 244 - 252
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Journal of Food Safety & Quality | 2025, 16(8): 244-252
• Food Analysis and Detection •
Construction of Hengshan Astragalus fingerprint and identification of its origin based on ultra performance liquid chromatography-charged aerosol detector
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Ying-Ying ZHAO1, Ruo-Yu WANG2, 3, Kai-Zhi WU1, Yun-Lan LIAN2, Zhi-Lai ZHAN4, Bao-Peng DING5, Li-Ting YANG1, Wen-Cui ZHANG1, Xiao-Qin ZHAO1, Juan DU2, *
Affiliations
  • 1. Datong Comprehensive Inspection and Testing Center, Datong 037000, China
  • 2. Shanxi Inspection and Testing Center, Taiyuan 030031, China
  • 3. Shanxi University of Chinese Medicine College of Traditional Chinese Medicine and Food Engineering, Jinzhong 030619, China
  • 4. Chinese Medicine Resource Center, China Academy of Chinese Medicine Sciences, Beijing 100700, China
  • 5. Engineering Research Center of Coal-based Ecological Carbon Sequestration Technology of the Ministry of Education and Key Laboratory of National Forest, Shanxi Datong University, Datong 037009, China
Published: 2025-04-25 doi: 10.19812/j.cnki.jfsq11-5956/ts.20240923008
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Objective To construct and compare the fingerprint profiles of Astragalus samples from different origins based on ultra performance liquid chromatography-charged aerosol detector (UPLC-CAD) technology, achieve quality evaluation and origin identification of Astragalus. Methods Using UPLC-CAD technology, this study focused on flavonoid and saponin components to construct the fingerprint of wild-simulated Astragalus membranaceus from the Hengshan Mountains, based on 29 batches of samples collected from multiple geographical origins. Statistical analysis methods such as cluster analysis, principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were used for analysis and evaluation. Results The fingerprint successfully marked 26 common peaks, and 8 key characteristic peaks were identified, including complanatoside A, ononin, astragaloside I to IV, etc. Cluster analysis clearly divided the samples into two major categories, revealing the influence of regional differences on the quality of Astragalus membranaceus. PCA further extracted 7 principal components. OPLS-DA analysis accurately predicted 8 kinds of key compounds influencing the quality differences, which were closely related to origin, cultivation methods, and growth duration. Conclusion This study successfully constructed a fingerprint capable of distinguishing Astragalus based on its origin, cultivation methods, and growth conditions by integrating UPLC-CAD technology with multivariate chemometric analysis. This method can be used to evaluate the fingerprint similarity of Astragalus membranaceus (Hengshan Mountain wild-simulated), with high specificity and sensitivity, which provids a scientific basis for the quality assessment of wild-simulated Astragalus from the Hengshan Mountains.

Hengshan Astragalus  /  ultra performance liquid chromatography  /  charged aerosol detector  /  fingerprint  /  stoichiometric analysis
Ying-Ying ZHAO, Ruo-Yu WANG, Kai-Zhi WU, Yun-Lan LIAN, Zhi-Lai ZHAN, Bao-Peng DING, Li-Ting YANG, Wen-Cui ZHANG, Xiao-Qin ZHAO, Juan DU. Construction of Hengshan Astragalus fingerprint and identification of its origin based on ultra performance liquid chromatography-charged aerosol detector[J]. Journal of Food Safety & Quality, 2025 , 16 (8) : 244 -252 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20240923008
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Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20240923008
  • Receive Date：2024-09-23
  • Online Date：2025-07-19
  • Published：2025-04-25
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  • Received：2024-09-23
Funding
Affiliations
    1. Datong Comprehensive Inspection and Testing Center, Datong 037000, China
    2. Shanxi Inspection and Testing Center, Taiyuan 030031, China
    3. Shanxi University of Chinese Medicine College of Traditional Chinese Medicine and Food Engineering, Jinzhong 030619, China
    4. Chinese Medicine Resource Center, China Academy of Chinese Medicine Sciences, Beijing 100700, China
    5. Engineering Research Center of Coal-based Ecological Carbon Sequestration Technology of the Ministry of Education and Key Laboratory of National Forest, Shanxi Datong University, Datong 037009, China
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https://castjournals.cast.org.cn/joweb/spaq/EN/10.19812/j.cnki.jfsq11-5956/ts.20240923008
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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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