摘要
目的 应用近红外光谱(NIRS)分析技术结合高效液相色谱法(HPLC)建立中药红花药材中羟基红花黄色素A(HSYA)和山柰酚的定量分析模型,同时研究不同产地及采收年限红花药材的分类和含量差异。方法 采集72批不同产地红花的NIRS图,同时采用HPLC法测定各批次红花药材中HSYA与山柰酚的含量,将NIRS图谱与含量值进行关联,采用偏最小二乘法(PLS)建立定量分析模型,并对模型进行验证;基于近红外全波段光谱信息,采用正交偏最小二乘法(OPLS-DA)建立红花不同产地和采收年限的分类模型;利用统计学方法,研究不同产地以及同产地不同采收年限红花中HSYA和山柰酚含量的差异性。结果 HSYA和山柰酚定量分析模型相关系数(r)分别为0.999 67和0.996 68,RMSEC、RMSEP、RMSECV均接近于0,12批验证集样品HSYA和山柰酚的预测值与参考值之间平均相对误差分别为3.40%、4.97%,t检验差异均无统计学意义(P>0.05);OPLS-DA分类模型可有效识别不同产地及采收年限的红花样品,正确率均达到100%;四川产红花中HSYA和山柰酚的含量均高于新疆产红花;不同采收年限四川产红花中HSYA和山柰酚的含量差异均无统计学意义,新疆产红花中HSYA的含量无显著性差异,但山柰酚的含量存在差异。结论 NIRS技术与多元分析方法结合,可用于红花药材中HSYA和山柰酚的快速测定以及产地和采收年限的分类鉴别。
Objective A quantitative model for the determination of hydroxysafflower yellow A(HSYA) and kaempferol in Honghua(Carthami Flos) was built by near infrared spectroscopy(NIRS) and high performance liquid chromatography(HPLC) to study the classification and content differences of Honghua(Carthami Flos) medicinal materials in different origins and harvest years.Methods NIRS maps of 72 batches of Honghua(Carthami Flos) from different producing areas were collected.The contents of HSYA and kaempferol in Honghua(Carthami Flos) from different areas were determined by HPLC.NIRS was linked with the content values,and the partial least squares(PLS) regression was adopted to find a quantitative analysis matrix and verify the matrix.Based on the near-infrared full-band spectral information,the OPLS-DA model was used to classify Honghua(Carthami Flos) from different origins and harvest years.The contents of HSYA and kaempferol in Honghua(Carthami Flos) from different origin and different harvest years were studied by statistical methods.Results The correlation coefficients of the quantitative analysis models for HSYA and kaempferol were 0.999 67 and 0.996 68,respectively.RMSEC,RMSEP and RMSECV were all close to 0.The average relative errors between the predicted values of HSYA and kaempferol and the reference values of the 12 batches of validation set samples were 3.40% and 4.97%,respectively.There was no significant difference in t test(P>0.05).OPLS-DA classification model can effectively identify Honghua(Carthami Flos) samples from different producing areas and harvest years,and the accuracy rate reached 100%.The contents of HSYA and kaempferol in Honghua(Carthami Flos) produced in Sichuan were higher than those in Xinjiang.There was no obvious divergence in the contents of HSYA or kaempferol in Honghua(Carthami Flos) produced in Sichuan in 2017 and 2018.There was no clear difference in the content of HSYA in Honghua(Carthami Flos) picked in 2017 and 2018 in Xinjiang,but there was a difference in the content of kaempferol.Conclusion NIR spectroscopy combined with multivariate analysis method can be used for the rapid determination of HSYA and kaempferol in Honghua(Carthami Flos),as well as the classification and identification of the origin and harvest year.
作者
文元新
祝子喻
陈江
裴瑾
张梅
WEN Yuanxin;ZHU Ziyu;CHEN Jiang;PEI Jin;ZHANG Mei(State Key Laboratory of Southwestern Chinese Medicine Resources,School of Pharmacy,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,Sichuan,China)
出处
《中华中医药学刊》
CAS
北大核心
2022年第8期200-204,I0036,共6页
Chinese Archives of Traditional Chinese Medicine
基金
国家自然科学基金(81774202)
成都中医药大学杏林学者学科人才科研提升计划(CXTD2018010)。
