首页|基于HPLC特征图谱、化学模式识别分析和多指标成分测定的衢枳壳及其相似药用部位的质量差异研究

基于HPLC特征图谱、化学模式识别分析和多指标成分测定的衢枳壳及其相似药用部位的质量差异研究

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目的 研究衢枳壳与相似药用部位胡柚皮的差异性成分及含量特征,为其质量评价提供依据。方法 建立10批衢积壳和12批胡柚皮的HPLC特征图谱,并进行相似度评价,采用主成分分析(principal component analysis,PCA)和正交偏最小二乘法判别分析(orthogonal partial least square discriminate analysis,OPLS-DA)筛选差异性成分,结合特征峰相对峰面积比值探究不同部位质量差异,通过特征性成分的含量测定及t检验和聚类分析验证方法可靠性。结果 建立了衢枳壳与胡柚皮的特征图谱,相似度>0。9,且组内相似度高于组间相似度;分别确认衢枳壳中12个特征峰,胡柚皮中15个特征峰,其中10个为共有峰,经对照品指认圣草次苷等8个色谱峰。根据每批17个特征峰面积进行化学模式识别分析,PCA提取出2个主成分,累积方差贡献率可达83。841%;OPLS-DA分析筛选出新北美圣草苷、芸香柚皮苷、柚皮苷、新橙皮苷4个差异性成分。统计分析结果显示,峰8、峰13的峰面积比值可区分2种不同药用部位。含量测定结果表明特征成分新北美圣草苷、芸香柚皮苷、柚皮苷、新橙皮苷在10批衢枳壳中含量范围分别为0。25%~0。55%、0。84%~2。29%、4。24%~8。57%、3。40%~10。13%;在 12批胡柚皮中含量范围分别为 0。66%~1。40%、0。30%~0。45%、3。60%~5。52%、2。19%~3。69%,且其在衢枳壳与胡柚皮中的平均含量均有极显著差异(P<0。01)。基于4个特征成分对22批样品的聚类分析可将不同批次的样本准确地分为衢枳壳与胡柚皮两类。结论 本研究建立的方法能特异性识别衢枳壳及其相似药用部位的差异成分并对两者进行有效区分,为衢枳壳质量控制提供依据。
Research on Quality Difference Between Quzhou Aurantii Fructus and Its Similar Medicinal Part Based on HPLC Characteristic Fingerprint,Chemical Pattern Recognition Analysis and Multiple Compounds Determination
OBJECTIVE To study and reveal the differential components and content characteristics of Quzhou Aurantii Fructus(QZQ)and its similar medicinal parts Huyou Peel(HYP),and provide a basis for the quality evaluation of QZQ.METHODS The HPLC characteristic fingerprints of 10 batches of QZQ and 12 batches of HYP were established,and similarity were evaluated.Principal component analysis(PCA)and orthogonal partial least square discriminate analysis(OPLS-DA)were applied for differential components screening.The relative peak area ratios of characteristic peaks were analyzed to explore quality differences between QZQ and HYP.The contents of the selected characteristic components were determined,and t test and hierarchical cluster analysis(HCA)were performed to verify method reliability.RESULTS The HPLC characteristic fingerprints of QZQ and HYP were established,and the similarity(all>0.9)within the group was higher than that between the groups.Totally 12 characteristic peaks in QZQ and 15 characteristic peaks in HYP were confirmed,including 10 common peaks,and 8 chromatographic peaks were identified by reference substances.Chemical pattern recognition analysis was carried out based on the area of 17 characteristic peaks in each batch.Two principal components were extracted by PCA,and the cumulative variance contribution rate was 83.841%.Four characteristic components,neoeriocitrin,narirutin,naringin and neohesperidin were screened by OPLS-DA.The results of statistical analysis showed that the peak area ratio of peak 8 and peak 13 could be used for QZQ and HYP classification.In addition,the contents of neoeriocitrin,narirutin,naringin and neohesperidin were 0.25%-0.55%,0.84%-2.29%,4.24%-8.57%and 3.40%-10.13%in 10 batches of QZQ,and 0.66%-1.40%,0.30%-0.45%,3.60%-5.52%and 2.19%-3.69%in 12 batches of HYP,which showed significant difference(P<0.01)in QZQ and HYP.HCA based on 4 characteristic components could clearly divided 22 batches of samples into QZQ and HYP.CONCLUSION The method established in this study can specifically identify the characteristic components of QZQ from its similar medicinal parts and effectively distinguish them,and this work would provide a basis for the quality control of QZQ.

Quzhou Aurantii FructusHuyou PeelHPLCcharacteristic fingerprintchemical pattern recognitionquality difference evaluation

施梦瑶、徐冰晶、童超英、李谨廷、梁泽华、邹莉、钦丹萍、寿旦

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浙江中医药大学药学院,杭州 311400

浙江艾佳食品有限公司,浙江衢州 324200

浙江中医药大学附属第一医院,杭州 310006

衢枳壳 胡柚皮 HPLC 特征图谱 化学模式识别 质量差异评价

浙江省科技计划项目

2023C02058

2024

中国现代应用药学
中国药学会

中国现代应用药学

CSTPCD北大核心
影响因子:0.877
ISSN:1007-7693
年,卷(期):2024.41(14)