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1.陕西省中医药研究院中药研究所,西安 710003
2.西北大学生命科学学院,西安 710069
3.陕西省中医医院肺病科,西安 710003
研究实习员,硕士。研究方向:中药药效物质基础。E-mail:zhying617@163.com
副研究员,硕士。研究方向:中药药效物质基础。 E-mail:longkaihua@126.com
收稿:2025-11-13,
修回:2026-01-16,
录用:2026-01-16,
纸质出版:2026-02-15
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周慧英,王园,王亚妮,等.基于指纹图谱和多成分含量测定的清瘟护肺颗粒质量评价 [J].中国药房,2026,37(03):338-343.
ZHOU Huiying,WANG Yuan,WANG Yani,et al.Quality evaluation of Qingwen hufei granules based on fingerprints combined with multi-component content determination[J].ZHONGGUO YAOFANG,2026,37(03):338-343.
周慧英,王园,王亚妮,等.基于指纹图谱和多成分含量测定的清瘟护肺颗粒质量评价 [J].中国药房,2026,37(03):338-343. DOI: 10.6039/j.issn.1001-0408.2026.03.11.
ZHOU Huiying,WANG Yuan,WANG Yani,et al.Quality evaluation of Qingwen hufei granules based on fingerprints combined with multi-component content determination[J].ZHONGGUO YAOFANG,2026,37(03):338-343. DOI: 10.6039/j.issn.1001-0408.2026.03.11.
目的
2
为清瘟护肺颗粒质量评价及临床应用提供科学依据。
方法
2
以14批清瘟护肺颗粒为样品,采用《中药色谱指纹图谱相似度评价系统(2012版)》建立其高效液相色谱(HPLC)指纹图谱,并进行色谱峰指认和相似度评价。应用聚类分析(CA)、主成分分析(PCA)和正交偏最小二乘-判别分析(OPLS-DA)对14批样品进行化学模式识别分析。同时,采用HPLC法测定样品中新绿原酸(NGA)、绿原酸(CHA)、隐绿原酸(CGA)、连翘酯苷A(FTA)、3,5-
O
-二咖啡酰奎宁酸(3,5-O-DA)、4,5-
O
-二咖啡酰奎宁酸(4,5-O-DA)及安格洛苷C(AGC)的含量。
结果
2
指纹图谱和含量测定的方法学考察结果均符合相关要求。14批样品的HPLC指纹图谱中共标示出14个共有峰,并指认出其中7个共有峰[NGA(峰2)、CHA(峰3)、CGA(峰5)、FTA(峰11)、3,5-O-DA(峰12)、4,5-O-DA(峰13)和AGC(峰14)];各样品的相似度均大于0.94。CA、PCA结果显示,样品可被分为3类;OPLS-DA结果显示,4号峰(未知)、11号峰(FTA)、8号峰(未知)、9号峰(未知)、1号峰(未知)为差异性成分。14批样品中NGA、CHA、CGA、3,5-O-DA、FTA、4,5-O-DA、AGC的含量范围分别为0.210 4~0.458 7、0.269 1~0.506 3、0.228 1~0.461 1、0.443 9~1.044 6、0.066 7~0.155 7、0.062 8~0.143 8、0.057 4~0.105 7 mg/g。
结论
2
本研究建立的HPLC指纹图谱及多成分含量测定方法高效、可靠,可用于清瘟护肺颗粒的质量评价。
OBJECTIVE
2
To provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules.
METHODS
2
Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography (HPLC) fingerprints using the
Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine
(
2012 Edition
). The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis (CA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile, the contents of neochlorogenic acid (NGA), chlorogenic acid (CHA), cryptochlorogenic acid (CGA), forsythoside A (FTA), 3,5-
O
-dicaffeoylquinic acid (3,5-O-DA), 4,5-
O
-dicaffeoylquinic acid (4,5-O-DA), and angoroside C (AGC) in the samples were determined by HPLC.
RESULTS
2
The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples, and 7 of them were identified [NGA (peak 2), CHA (peak 3), CGA (peak 5), FTA (peak 11), 3,5-O-DA (peak 12), 4,5-O-DA (peak 13), and AGC (peak 14)]; the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories; the results of OPLS-DA indicated that peak 4 (unknown), peak 11 (FTA), peak 8 (unknown), peak 9 (unknown), and peak 1 (unknown) were the differential components. The content ranges of NGA, CHA, CGA, 3,5-O-DA, FTA, 4,5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7, 0.269 1-0.506 3, 0.228 1-0.461 1, 0.443 9-1.044 6, 0.066 7-0.155 7, 0.062 8-0.143 8, and 0.057 4-0.105 7 mg/g, respectively.
CONCLUSIONS
2
The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable, and can be used for the quality evaluation of Qingwen hufei granules.
刘琪琪 , 李纯 , 周洁 , 等 . 基于网络药理学与分子对接技术的清瘟护肺颗粒防治新型冠状病毒肺炎(COVID-19)的潜在药效物质研究 [J ] . 天然产物研究与开发 , 2021 , 33 ( 3 ): 500 - 509 .
杨栓柱 , 陈涛 , 张红 , 等 . 清瘟护肺颗粒治疗急性呼吸道感染的真实世界观察性研究 [J ] . 现代中医药 , 2025 , 45 ( 5 ): 133 - 142 .
陕西中医编辑部 . 陕西省中医医院“清瘟护肺颗粒”“益肺解毒颗粒”防疫新型冠状病毒肺炎配置备案获批 [J ] . 陕西中医 , 2020 , 41 ( 3 ): 277 .
周礼杰 , 侯晓杰 , 张建锋 , 等 . 基于指纹图谱、化学模式识别及网络药理学的银黄含化滴丸质量标志物预测分析 [J ] . 中国抗生素杂志 , 2025 , 50 ( 7 ): 845 - 856 .
叶程聪 , 应倩逸 , 许霄 , 等 . 基于指纹图谱及多成分定量与网络药理学的玉屏风标准汤质量标志物(Q-Marker)预测 [J ] . 中国医院药学杂志 , 2025 , 45 ( 15 ): 1705 - 1713 .
胡静 , 叶晨昱 , 任慧 , 等 . 三桑小方水煎液HPLC指纹图谱及多指标成分定量研究 [J/OL ] . 辽宁中医杂志 , 2025 : 1 - 17 [ 2025-10-19 ] . https://link.cnki.net/urlid/21.1128.r. 20250718.1546.021 https://link.cnki.net/urlid/21.1128.r.20250718.1546.021 .
赵伟 , 陈树和 , 闫斌 , 等 . 基于指纹图谱结合化学模式识别的精天颗粒质量评价 [J ] . 中国药房 , 2025 , 36 ( 3 ): 300 - 305 .
杜锦颜 , 莫静媛 , 谢询 , 等 . 天麻健脑颗粒的综合质量评价 [J ] . 中国药房 , 2024 , 35 ( 20 ): 2482 - 2487 .
闫治攀 , 李喜香 , 高丽霞 . 紫连生肌凝胶剂HPLC指纹图谱建立及6个成分含量测定 [J ] . 药物分析杂志 , 2024 , 44 ( 9 ): 1586 - 1596 .
刘世红 , 张红杨 , 冯书敏 , 等 . 基于UPLC指纹图谱及多指标成分定量和化学计量学的白前质量评价 [J ] . 中草药 , 2024 , 55 ( 22 ): 7837 - 7846 .
张笑颜 , 张红 , 龙凯花 , 等 . 清瘟护肺颗粒免疫调节潜在药效物质及作用机制研究 [J ] . 现代中药研究与实践 , 2024 , 38 ( 5 ): 26 - 32 .
丽妍 , 杨帆 , 孙萌 , 等 . 安格洛苷C对照品的定值研究 [J ] . 北京中医药大学学报 , 2023 , 46 ( 2 ): 273 - 280 .
刘畅 , 程晓丹 , 孙家安 , 等 . 绿原酸通过调控miR-223/NLRP3轴减轻脂多糖诱导的小鼠急性肺损伤的机制 [J ] . 中南大学学报(医学版) , 2022 , 47 ( 3 ): 280 - 288 .
熊乐文 , 金莹 , 王彦予 , 等 . 金银花酚酸类化学成分、药理活性及体内代谢研究进展 [J ] . 中成药 , 2022 , 44 ( 3 ): 864 - 871 .
WU Q Z , ZHAO D X , XIANG J , et al . Antitussive,expectorant,and anti-inflammatory activities of four caffeoylquinic acids isolated from Tussilago farfara [J ] . Pharm Biol , 2016 , 54 ( 7 ): 1117 - 1124 .
WANG J , XIN L Y , WANG H C , et al . Forsythiaside A alleviates acute lung injury via the RNF99/TRAF6/NF-κB signaling pathway [J ] . Int Immunopharmacol , 2024 , 140 : 112814 .
ZHENG X , CHEN Z Q , SHI S S , et al . Forsythiaside A improves influenza A virus infection through TLR7 sig- naling pathway in the lungs of mice [J ] . BMC Complement Med Ther , 2022 , 22 ( 1 ): 164 .
李翎熙 , 陈迪路 , 周小江 . 玄参化学成分、药理活性研究进展及其质量标志物分析预测 [J ] . 中成药 , 2020 , 42 ( 9 ): 2417 - 2426 .
PARK S Y , JIN M L , YI E H , et al . Neochlorogenic acid inhibits against LPS-activated inflammatory responses through up-regulation of Nrf2/HO-1 and involving AMPK pathway [J ] . Environ Toxicol Pharmacol , 2018 , 62 : 1 - 10 .
张昕 , 张铭 , 何宏轩 , 等 . 隐绿原酸对H9N2-AIV致小鼠肺损伤的免疫调节和抗氧化效果 [J ] . 浙江农业学报 , 2022 , 34 ( 1 ): 33 - 40 .
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