基于UFLC-Q-TOF-MS/MS技术及PCA分析的不同产地杏香兔耳风药材差异研究
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摘要
该研究建立UFLC-Q-TOF-MS/MS技术结合多元统计分析法快速、简便、准确鉴别不同产地杏香兔耳风药材差异性的方法。采用超高速液相-飞行时间串联质谱仪(UFLC-Q-TOF-MS/MS)对江西、云南、江苏和河南地区等产地的杏香兔耳风药材进行检测,质谱采用ESI源的负离子模式,利用Markerview等软件对数据结果进行PCA和OPLS-DA聚类分析及t检验。结果显示在负离子模式下不同产地的药材主成分得到了良好的区分,聚类结果同时体现了杏香兔耳风药材在地域间的差异性和相似性,共鉴定出40种差异成分。该研究建立的鉴别杏香兔耳风药材产地差异性的方法具有快速准确和简便等优势,为杏香兔耳风不同产地的药材质量评价奠定了基础。
A rapid and accurate method of UFLC-Q-TOF-MS/MS combined with multivariate statistical analysis was established for the identification of Ainsliaea fragrans from different origins in this study. The A. fragrans from different producing areas of Jiangxi,Yunnan,Henan and Jiangsu were determined by UFLC-Q-TOF-MS/MS in the negative ion mode. And the data of the study were analyzed by the Markerview and other software for the PCA and OPLS-DA cluster analysis as well as t test. The results of the principal component analysis( PCA) showed that the main components from different origins were well distinguished. And the results of multivariate statistical showed the differences and similarities between different producing areas. Besides,40 different compounds were identified in the negative ion mode. This method for identifying A. fragrans from different producing areas has the advantages of rapid accuracy and simplicity,which laid the foundation for the evaluation of the quality of the A. fragrans.
A rapid and accurate method of UFLC-Q-TOF-MS/MS combined with multivariate statistical analysis was established for the identification of Ainsliaea fragrans from different origins in this study. The A. fragrans from different producing areas of Jiangxi,Yunnan,Henan and Jiangsu were determined by UFLC-Q-TOF-MS/MS in the negative ion mode. And the data of the study were analyzed by the Markerview and other software for the PCA and OPLS-DA cluster analysis as well as t test. The results of the principal component analysis( PCA) showed that the main components from different origins were well distinguished. And the results of multivariate statistical showed the differences and similarities between different producing areas. Besides,40 different compounds were identified in the negative ion mode. This method for identifying A. fragrans from different producing areas has the advantages of rapid accuracy and simplicity,which laid the foundation for the evaluation of the quality of the A. fragrans.
引文
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[4]冯育林,张武岗,孙丽仁,等.HPLC法测定杏香兔耳风中绿原酸,3,5-二咖啡酰奎宁酸和木犀草素[J].中草药,2012,43(3):513.
[5]黄骏,苏丹,宋永贵,等.不同产地杏香兔耳风酚酸类成分含量比较[J].中药材,2014(8):1340.
[6]淡墨,高先富,谢国祥,等.代谢组学在植物代谢研究中的应用[J].中国中药杂志,2007,32(22):2337.
[7]Xie G,Plumb R,Su M,et al.Ultra-performance LC/TOF MS analysis of medicinal Panax herbs for metabolomic research[J].J Sep Sci,2008,31(6/7):1015.
[8]Lv M,Sun J,Wang M,et al.GC-MS based metabolomics study of stems and roots of Ephedra sinica[J].J Pharmaceut Biomed,2015,114:49.
[9]Mao Q,Bai M,Xu J D,et al.Discrimination of leaves of Panax ginseng and P.quinquefolius by ultra-high performance liquid chromatography quadrupole/time-of-flight mass spectrometry based metabolomics approach[J].J Pharmaceut Biomed,2014,97:129.
[10]Zhang Z Z,Zhi H J,Qin X M,et al.Chemical comparison of different Farfarae Flos by NMR-based metabolomic approaches[J].Acta pharmaceut Sin,2015,50(5):599.
[11]Chai C,Ju H K,Kim S C,et al.Determination of bioactive compounds in fermented soybean products using GC/MS and further investigation of correlation of their bioactivities[J].J Chromatogr B,2012,880(1):42.
[12]李广志,李晓瑾,曹丽,等.新疆阿魏种子化学成分的研究[J].中草药,2015,46(12):1730.
[13]徐希科.大头兔儿风化学成分研究[D].上海:第二军医大学,2010.
[14]Ouyang H,Li J,Wu B,et al.A robust platorm based on ultrahigh performance liquid chromatography quadrupole time of flight tandem mass spectrometry with a two-step data mining strategy in the investigation,classification,and identification of chlorogenic acids in Ainsliaea fragrans Champ[J].J Chromatogr A,2017,1502:38.
[15]邢春秀,谢宁,杨念云,等.杏香兔耳风的化学成分[J].药学与临床研究,2006,14(2):107.
[16]谢一辉,苗菊茹,刘文琴.覆盆子化学成分的研究[J].中药材,2005,28(2):99.
[17]艾国,黄正明,王德文,等.金丝桃苷在大鼠体内的药代动力学研究[J].中国实验方剂学杂志,2013,19(1):157.
[18]张婕,王立慈,张斌.白背叶黄酮类成分的研究[J].中国生化药物杂志,2017(7):447.