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Quality evaluation of Lavandula angustifolia from different origins based on fingerprint combined with multi-component quantification and chemical pattern recognition
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Chinese Traditional and Herbal Drugs | 2026, 57(17) : 6946 - 6954
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Chinese Traditional and Herbal Drugs | 2026, 57(17): 6946-6954
Quality evaluation of Lavandula angustifolia from different origins based on fingerprint combined with multi-component quantification and chemical pattern recognition
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WANG Cong1, ZHU Jingping1, LIU Qianxi1, CHEN Xiangxiang1, ZHANG Lin1, LI Hongwei1,2,3, YIN Hailong4, YIN Qiang4, LI Kai1,2,3
Affiliations
    1 Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China;
    2 Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou 450046, China;
    3 Henan Research Center for Special Processing Technology of Chinese Medicine, Zhengzhou 450046, China;
    4 Xinjiang Uygur Pharmaceutical Co., Ltd., Urumqi 830026, China
doi: 10.7501/j.issn.0253-2670.2026.17.024
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Objective To establish the HPLC fingerprint and multi-component content determination method of Lavandula angustifolia from different origins, and to evaluate the quality of L. angustifolia medicinal materials from different origins by combining chemical pattern recognition methods, providing a basis for further research and development. Methods A Zorbax Eclipse XDB-C18 column (250 mm × 4.6 mm, 5 μm) was used, with acetonitrile-0.1% phosphoric acid solution as the mobile phase, and gradient elution. The detection wavelength was 350 nm, the column temperature was 30 ℃, the flow rate was 0.6 mL/min, and the injection volume was 10 μL. The HPLC fingerprint of L. angustifolia from Xinjiang was established and the similarity was analyzed. At the same time, the chemical components were identified by comparison with reference substances and quantitatively determined. Hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were performed using Origin2025b, IBM SPSS Statistics 27 and SIMCA 14.1 software to evaluate the quality of L. angustifolia medicinal materials from different origins and screen the quality difference markers. Results The HPLC fingerprint chromatograms of L.angustifolia from different regions in Xinjiang were established. A total of 14 common chromatographic peaks were identified, and five components were recognized: Chlorogenic acid (peak 2), luteolin-7-O-glucoside (peak 8), rosmarinic acid (peak 12), luteolin (peak 13), and apigenin (peak 14).The similarity of 15 batches of samples was all above 0.9. HCA divided 15 batches of L. angustifolia into three categories. PCA extracted four principal components, with a cumulative contribution rate of 93.310%. PCA results showed that batch YC23072402 from Huocheng, Xinjiang, had the best quality. OPLS-DA identified seven quality difference markers, namely luteolin, rosmarinic acid and apigenin, in L. angustifolia samples. The contents of luteolin, rosmarinic acid and apigenin in L. angustifolia were 0.018—0.230, 0.380—3.095 and 0.144—0.481 mg/g respectively. Conclusion The HPLC fingerprint and multi-component content determination method for L. angustifolia from different origins is simple, accurate, and has good repeatability. It can be used for the quality evaluation of L. angustifolia from Xinjiang and provide a basis for its quality control.
Lavandula angustifolia Mill.  /  fingerprint chromatogram  /  luteolin  /  rosmarinic acid  /  apigenin  /  chemical pattern recognition  /  principal component analysis
王聪, 朱静平, 刘仟禧, 陈祥相, 张淋, 李红伟, 尹海龙, 尹强, 李凯. 基于指纹图谱和多成分定量结合化学模式识别法评价不同产地狭叶薰衣草的质量. 中草药, 2026 , 57 (17) : 6946 -6954 . DOI: 10.7501/j.issn.0253-2670.2026.17.024
WANG Cong, ZHU Jingping, LIU Qianxi, CHEN Xiangxiang, ZHANG Lin, LI Hongwei, YIN Hailong, YIN Qiang, LI Kai. Quality evaluation of Lavandula angustifolia from different origins based on fingerprint combined with multi-component quantification and chemical pattern recognition[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (17) : 6946 -6954 . DOI: 10.7501/j.issn.0253-2670.2026.17.024
Year 2026 volume 57 Issue 17
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doi: 10.7501/j.issn.0253-2670.2026.17.024
  • Receive Date:2026-02-03
  • Online Date:2026-10-29
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  • Received:2026-02-03
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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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