基于红外光谱结合化学计量学及HPLC色谱的紫丹参及其近缘种成分差异
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摘要
目的:探讨民族药紫丹参及其近缘种化学成分异同,为紫丹参药材鉴别和临床应用提供参考。方法:利用傅里叶红外光谱结合主成分分析(PCA),聚类分析(HCA)和偏最小二乘法判别分析(PLS-DA)方法对紫丹参及其近缘种成分的差异进行了研究,同时采用高效液相色谱法比较紫丹参及近缘种的水溶性成分差异。结果:紫丹参与其近缘种的红外光谱和水溶性HPLC色谱在吸收峰的峰数、峰强、峰形方面均存在一定差异,尤其是其水溶性极性成分较其他品种更为丰富,表明紫丹参与其近缘种之间所含化学成分有相似之处,但亦存在明显的不同。从化学亲缘关系来看,紫丹参与其他同属药物较远,三叶鼠尾草、戟叶鼠尾草、甘西鼠尾草三者成分更为接近;红外光谱结合化学计量学方法 PCA,HCA和PLS-DA分析显示,紫丹参与其他品种可明显分开。结论:该研究建立的红外光谱结合化学计量学模型,可用于紫丹参及其近缘种的快速鉴别;与其近缘种相比,紫丹参具有独特的化学成分群,具有深入开发的价值,为紫丹参及其混伪品的鉴别提供科学参考。
Objective: To investigate the differences of chemical constituents of Salviae Yunnanensis Radix et Rhizoma and its closely related species,and to provide reference for the clinical application of Salviae Yunnanensis Radix et Rhizoma. Method: Fourier transform infrared(FTIR) spectroscopy combined with principal component analysis(PCA),cluster analysis(HCA) and partial least squares discriminant analysis(PLS-DA)were used to study the differences of components between Salviae Yunnanensis Radix et Rhizoma and its closely related species,and high performance liquid chromatography(HPLC) was used to compare the differences of water-soluble components between them. Result: There were some differences between Salviae Yunnanensis Radix et Rhizoma and its closely related species acrcording to FTIR spectroscopy and HPLC fingerprint,especially the water-soluble polar components were more abundant in Salviae Yunnanensis Radix et Rhizoma than other species.The chemical components of Salvia trijuga,S. przewalskii and S. bulleyana were more similar in terms of their genetic relationship. The result showed that the Salviae Yunnanensis Radix et Rhizoma and its closely related species can be clearly distinguished by FTIR combined with chemometrics method. Conclusion: Compared with its closely related species,Salviae Yunnanensis Radix et Rhizoma has a unique chemical composition,which has great therapeutic potential for blood stasis. The FTIR combined with chemometrics model can be used for rapid identification of Salviae Yunnanensis Radix et Rhizoma and its closely related species.
Objective: To investigate the differences of chemical constituents of Salviae Yunnanensis Radix et Rhizoma and its closely related species,and to provide reference for the clinical application of Salviae Yunnanensis Radix et Rhizoma. Method: Fourier transform infrared(FTIR) spectroscopy combined with principal component analysis(PCA),cluster analysis(HCA) and partial least squares discriminant analysis(PLS-DA)were used to study the differences of components between Salviae Yunnanensis Radix et Rhizoma and its closely related species,and high performance liquid chromatography(HPLC) was used to compare the differences of water-soluble components between them. Result: There were some differences between Salviae Yunnanensis Radix et Rhizoma and its closely related species acrcording to FTIR spectroscopy and HPLC fingerprint,especially the water-soluble polar components were more abundant in Salviae Yunnanensis Radix et Rhizoma than other species.The chemical components of Salvia trijuga,S. przewalskii and S. bulleyana were more similar in terms of their genetic relationship. The result showed that the Salviae Yunnanensis Radix et Rhizoma and its closely related species can be clearly distinguished by FTIR combined with chemometrics method. Conclusion: Compared with its closely related species,Salviae Yunnanensis Radix et Rhizoma has a unique chemical composition,which has great therapeutic potential for blood stasis. The FTIR combined with chemometrics model can be used for rapid identification of Salviae Yunnanensis Radix et Rhizoma and its closely related species.
引文
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[3]谢宗万.中药品种理论与应用[M].北京:人民卫生出版社,2008:202-207.
[4]文凤娟,龚廷锋,赖清玉,等.基于ITS条形码的云南丹参及其近缘种鉴定研究[J].西南林业大学学报:自然科学,2018,38(4):29-36.
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[6]段宝忠,李巍,邓海星,等.基于DNA条形码技术的民族药紫丹参及其近缘种鉴定研究[J].中草药,2019,50(5):1204-1211.
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[13]陈四保,彭勇,陈士林,等.药用植物亲缘学[J].世界科学技术,2005,7(6):97-103.
[14]史国玉,郭庆梅,康玉秋,等.丹参不同部位的红外光谱法分析[J].光散射学报,2012,24(4):412-418.
[15]吴婧.丹参白芍的红外光谱研究[D].北京:清华大学,2008.
[16]张海燕,霍金海,董文婷,等.不同产地北青龙衣的红外光谱鉴定分析[J].中国实验方剂学杂志,2016,22(4):57-60.
[17]Abdi H W L J.Principal component analysis[J].Computation Stat,2010,4(2):433-459.
[18]Bassbasi M L M D I.Prediction of the geographical origin of butters by partial least square discriminant analysis(PLS-DA)applied to infrared spectroscopy(FTIR)data[J].J Food Compos Anal,2014,33(2):210-215.
[19]罗丹丹,方海兰,李杨,等.基于DNA条形码技术的防风药材市场调查研究[J].大理学院学报,2018,3(2):22-26.
[20]姚婉清,彭梦侠,刘婷.近红外光谱结合化学计量学方法在化学分析中的应用[J].嘉应学院学报,2018,36(5):17-27.
[21]张立国,胡甜甜,张芳芳,等.丹参和紫丹参脂溶性成分的UPLC及LC-MS/MS分析[J].中国中药杂志,2019,44(6):1208-1215.
[22]李惠兰,闫彩珍,张荣平,等.滇丹参注射液对兔血小板功能的影响[J].天然产物研究与开发,2002,14(1):70-73.
[23]段宝忠,李巍,邓海星,等.民族药滇丹参的本草考证[J].中国实验方剂学杂志,2019,25(13):80-86.
[2]毕飞霞,段吉平,孙宝惠.红大戟与混淆品紫丹参的比较鉴别[J].中药材,2004,27(10):721-723.
[3]谢宗万.中药品种理论与应用[M].北京:人民卫生出版社,2008:202-207.
[4]文凤娟,龚廷锋,赖清玉,等.基于ITS条形码的云南丹参及其近缘种鉴定研究[J].西南林业大学学报:自然科学,2018,38(4):29-36.
[5]何广新,李忠琼.丹参和紫丹参的比较鉴别[J].中药材,1996,19(7):342-343.
[6]段宝忠,李巍,邓海星,等.基于DNA条形码技术的民族药紫丹参及其近缘种鉴定研究[J].中草药,2019,50(5):1204-1211.
[7]兰茂.滇南本草.第二卷[M].昆明:云南人民出版社,1977:351-353.
[8]国家药品监督管理局.国家中成药标准汇编外科妇科分册[M].北京:国家药品监督管理局,2002.
[9]国家药品监督管理局.国家中成药标准汇编内科心系分册[M].北京:国家药品监督管理局,2002:472.
[10]朱兆云,韦群辉.云南民族药志[M].昆明:云南省药品检验所,1980:368.
[11]王正坤,周明康.哀牢本草[M].太原:山西科学技术出版社,1991:110.
[12]陈亚,江滨,曾元儿.红外光谱在中药鉴别中的应用[J].广州中医药大学学报,2004,21(3):237-240.
[13]陈四保,彭勇,陈士林,等.药用植物亲缘学[J].世界科学技术,2005,7(6):97-103.
[14]史国玉,郭庆梅,康玉秋,等.丹参不同部位的红外光谱法分析[J].光散射学报,2012,24(4):412-418.
[15]吴婧.丹参白芍的红外光谱研究[D].北京:清华大学,2008.
[16]张海燕,霍金海,董文婷,等.不同产地北青龙衣的红外光谱鉴定分析[J].中国实验方剂学杂志,2016,22(4):57-60.
[17]Abdi H W L J.Principal component analysis[J].Computation Stat,2010,4(2):433-459.
[18]Bassbasi M L M D I.Prediction of the geographical origin of butters by partial least square discriminant analysis(PLS-DA)applied to infrared spectroscopy(FTIR)data[J].J Food Compos Anal,2014,33(2):210-215.
[19]罗丹丹,方海兰,李杨,等.基于DNA条形码技术的防风药材市场调查研究[J].大理学院学报,2018,3(2):22-26.
[20]姚婉清,彭梦侠,刘婷.近红外光谱结合化学计量学方法在化学分析中的应用[J].嘉应学院学报,2018,36(5):17-27.
[21]张立国,胡甜甜,张芳芳,等.丹参和紫丹参脂溶性成分的UPLC及LC-MS/MS分析[J].中国中药杂志,2019,44(6):1208-1215.
[22]李惠兰,闫彩珍,张荣平,等.滇丹参注射液对兔血小板功能的影响[J].天然产物研究与开发,2002,14(1):70-73.
[23]段宝忠,李巍,邓海星,等.民族药滇丹参的本草考证[J].中国实验方剂学杂志,2019,25(13):80-86.