| 引用本文: | 岳超,张文婷,赵维良,刘柱,王峰.化学模式分析联合指纹图谱评价不同基原枳壳药材的质量[J].中国现代应用药学,2021,38(23):3002-3008. |
| YUE Chao,ZHANG Wenping,ZHAO Weiliang,LIU Zhu,WANG Feng.Quality Evaluation for Different Original Plant Species of Aurantii Fructus Based on HPLC Fingerprint with Chemical Pattern Analysis[J].Chin J Mod Appl Pharm(中国现代应用药学),2021,38(23):3002-3008. |
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| 摘要: |
| 目的 建立酸橙枳壳的HPLC指纹图谱，测定共有峰中10个化合物的含量，结合化学模式分析技术对不同基原枳壳质量的一致性与差异性进行评价，以期为枳壳的质量控制和标准提高提供参考。方法 以乙腈-0.1%甲酸溶液为流动相进行梯度洗脱，检测波长330 nm，建立10批酸橙枳壳共有模式图谱，指认出共有峰中的10个化学成分，同时测定其含量。相似度结果联合分析化学模式分析技术评价枳壳药材的质量。结果 建立的酸橙枳壳指纹图谱共有模式中获得共有峰22个，指认出共有峰中10个化学成分，分别为芸香柚皮苷、柚皮苷、橙皮苷、新橙皮苷、橘皮内酯水合物、木樨草素、橘皮内酯、川陈皮素、桔皮素和葡萄内酯水合物。酸橙枳壳的相似度结果均>0.92，朱栾枳壳相似度结果<0.21。通过化学模式分析技术，将全部24批样品区分为3类，并筛选出导致药材差异密切度高的5个化合物，分别为新橙皮苷、葡萄内酯、桔皮素、芸香柚皮苷和柚皮苷。结论 建立的HPLC指纹图谱方法简单，专属性强，准确度高，结合化学模式识别技术可以为不同基源枳壳药材的质量评价和标准提高提供依据和参考。 |
| 关键词: 基原 枳壳 指纹图谱 化学模式分析 含量测定 质量评价 |
| DOI：10.13748/j.cnki.issn1007-7693.2021.23.014 |
| 分类号:R284.1 |
| 基金项目: |
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| Quality Evaluation for Different Original Plant Species of Aurantii Fructus Based on HPLC Fingerprint with Chemical Pattern Analysis |
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YUE Chao, ZHANG Wenping, ZHAO Weiliang, LIU Zhu, WANG Feng
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Zhejiang Institute of Food and Drug Control, Hangzhou 310052, China
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| Abstract: |
| OBJECTIVE To establish HPLC fingerprint of Aurantii Fructus and determine the contents of 10 chemical compounds in the common peak, conducted the quality evaluation of consistence and difference for Aurantii Fructus by chemical pattern recognition technology. So as to provide the reference for quality control and quality standards improvement. METHODS Using acetonitrile-0.1% aqueous formic acid aqueous solution as mobile phase for gradient elution, the detection wavelength was set at 330 nm, established the common pattern fingerprint between the 10 batches of Aurantii Fructus samples, 10 chemical compounds in the common peak were identified, at the same time, determined the contents of 10 compounds. Then, the further quality assessment of Aurantii Fructus was carried out by similarity evaluation combined with chemical pattern recognition technology. RESULTS The 22 common peaks were found in the reference fingerprint, 10 chemical compounds (narirutin, naringin, hesperidin, neohesperidin, meranzin hydrate, luteolin, meranzin, nobiletin, hesperetin, aurapten) were identified. The similarity of Aurantii Fructus from Citrus aurantium were >0.92 and <0.21 from ‘Chuluan’. Through the chemical pattern recognition technology, 24 batches of Aurantii Fructus were mainly divided into 3 categories, screened out 5 intimate components that caused the quality differences between samples, namely, neohesperidin, aurapten, hesperetin, narirutin, naringin. CONCLUSION The HPLC fingerprint method of different botanic origin Aurantii Fructus is simple, specific and accurate, combines with chemical pattern recognition can provide reference for quality control and quality standards improvement. |
| Key words: botanic origin Aurantii Fructus fingerprint chemical pattern analysis content determination quality evaluation |
