中国药物警戒 ›› 2025, Vol. 22 ›› Issue (11): 1229-1235.
DOI: 10.19803/j.1672-8629.20250300

• 基础与临床研究 • 上一篇    下一篇

基于电子眼与指纹图谱的蓝布正药材质量评价研究

李兴洪1, 朱晓玉1, 田广环1, 段灿灿1, 邓勇1, 张建永1, 吴宏伟2*   

  1. 1遵义医科大学药学院,贵州 遵义 563000;
    2中国中医科学院中药研究所,北京 100700
  • 收稿日期:2025-05-13 出版日期:2025-11-15 发布日期:2025-11-14
  • 通讯作者: *吴宏伟,男,博士,研究员·博导,中药质量控制与心脑血管代谢组学研究。E-mail:whw9905012@163.com
  • 作者简介:李兴洪,男,在读硕士,药物质量与过程控制研究。
  • 基金资助:
    国家自然科学基金资助项目（81973711、82360819、82360768）; 贵州省科技厅项目（黔科合基础-ZK[2022]一般588）; 贵州省教育厅“百校千企”科技攻关项目（黔教技[2025]016号）

Quality Evaluation of GEI HERBA Based on Electronic Eye and Fingerprint

LI Xinghong1, ZHU Xiaoyu1, TIAN Guanghuan1, DUAN Cancan1, DENG Yong1, ZHANG Jianyong1, WU Hongwei2*   

  1. 1School of Pharmacy, Zunyi Medical University, Zunyi Guizhou 563000, China;
    2Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • Received:2025-05-13 Online:2025-11-15 Published:2025-11-14

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摘要： 目的 基于多批次蓝布正药材,通过指纹图谱结合电子眼智能检测技术,进行质量评价研究并筛选质量控制标志物。方法 收集不同产地16批次蓝布正药材,采用高效液相色谱法建立蓝布正药材指纹图谱,采用DPPH体外抗氧化的活性评价方法对不同产地的药材进行活性评价,通过谱效关系分析识别质量控制标志物;在此基础上采用电子分析技术对不同产地蓝布正药材进行分析,并采用皮尔逊(Pearson)相关性分析,对电子眼分析结果与质量控制标志物进行相关性分析。结果 在254 nm检测波长下建立蓝布正药材指纹图谱分析方法,方法的重复性、精密度、稳定性均符合相关要求,共确定13个共有峰,并通过标准品比对,其中6个色谱峰分别为没食子酸、Gemin G、Gemin B、特里马素、Gemin A、鞣花酸,各批次药材与平均对照指纹图谱比较,相似度范围70.9%~99.0%,整体上存在差异;16批次样品的清除DPPH自由基抗氧化活性IC50范围在42.0~113.4μg·mL-1,相关性分析结果表明6个色谱峰峰面积与抗氧化活性呈显著正相关（P<0.05）,相关性大小排序依次为：峰11（Gemin A）>峰13（鞣花酸）>峰6（0.63）>峰1（没食子酸）>峰2（0.42）>峰7（0.74）;电子眼分析结果表明,峰13（鞣花酸）和峰11（Gemin A）与明亮度(L*)具有显著正相关性（P<0.05）,即L*值越大,峰13（鞣花酸）和峰11（Gemin A）含量越高。结论 本研究建立蓝布正指纹图谱分析方法,从抗氧化的角度筛选蓝布正的质量控制标志物,并发现电子眼检测指标L*值与峰13（鞣花酸）、峰11（Gemin A）具有显著的相关性,研究结果为完善蓝布正质量控制及快速检测提供参考。

关键词: 蓝布正, 鞣花酸, Germin A, 电子眼, 指纹图谱, 色度值, 质量评价, 质量标志物

Abstract: Objective To establish a rapid quality evaluation method that can identify key quality markers in multiple batches of GEI HERBA materials by integrating fingerprint analysis and electronic eye intelligent detection technology. Methods Sixteen batches of GEI HERBA from different origins were collected. High-performance liquid chromatography (HPLC) was employed to establish a fingerprint profile, and DPPH free radical scavenging assays were performed to evaluate antioxidant activities. Spectrum-effect relationship analysis was conducted to identify potential quality control markers. Subsequently, electronic eye technology was used to analyze the samples, and Pearson correlation analysis was conducted to assess the relationships between electronic eye parameters and the identified markers. Results A validated HPLC fingerprint method was established at 254 nm, with acceptable repeatability, precision, and stability. Thirteen common peaks were detected, six of which were identified by reference standards: gallic acid, Gemin G, Gemin B, tellimagrandin, Gemin A, and ellagic acid. Similarity indices between batches and the reference fingerprint ranged from 70.9% to 99.0%, indicating notable batch-to-batch variability. The DPPH radical scavenging activity (IC50) of the samples ranged from 42.0 to 113.4μg·mL-1. Correlation analysis revealed that six chromatographic peaks had significant positive correlations (P<0.05) with antioxidant activity. Peak 11 (Gemin A) ranked first, followed by peak 13 (ellagic acid), peak 6, peak 1 (gallic acid), peak 2, and peak 7. Electronic eye analysis found that peak 13 (ellagic acid) and peak 11 (Gemin A) were significantly positively correlated (P<0.05) with the lightness(L* value), suggesting that higher L* values corresponded to higher contents of these two compounds. Conclusion This study has established an HPLC fingerprinting method for GEI HERBA and identified antioxidant-related quality control markers. Additionally, a significant correlation is observed between electronic eye-derived L* values and the contents of ellagic acid and Gemin A.

Key words: GEI HERBA, Ellagic Acid, Germin A, Electronic Eye, Fingerprint Chromatograms, Chromaticity Value, Quality Evaluation, Quality Control Markers

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