基于GC-IMS的白及饮片与黄花白及饮片的挥发性有机物差异研究

李海洋, 王艳丽, 岳佑凇, 侯富国, 李涵, 范雪花, 姚静, 施钧瀚, 李学林 ,桂新景, 刘瑞新

中国药学杂志 ›› 2023, Vol. 58 ›› Issue (12) : 1074-1083.

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中国药学杂志 ›› 2023, Vol. 58 ›› Issue (12) : 1074-1083. DOI: 10.11669/cpj.2023.12.003
论著

基于GC-IMS的白及饮片与黄花白及饮片的挥发性有机物差异研究

  • 李海洋1, 王艳丽2, 岳佑凇1, 侯富国1, 李涵1, 范雪花1, 姚静2,3,4, 施钧瀚2,3,4, 李学林2,3,4,5 ,桂新景1,2,3,4*, 刘瑞新2,3,4,5*
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Study on the Difference of Volatile Organic Compounds Between Bletilla striata Decoction Pieces and Bletilla ochracea Decoction Pieces Based on GC-IMS

  • LI Hai-yang1, WANG Yan-li2, YUE You-song1, HOU Fu-guo1, LI Han1, FAN Xue-hua1, YAO Jing2,3,4, SHI Jun-han2,3,4, LI Xue-lin2,3,4,5, GUI Xin-jing1,2,3,4*, LIU Rui-xin2,3,4,5*
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摘要

目的 基于气相色谱-离子迁移谱(GC-IMS)技术建立白及饮片和黄花白及饮片的挥发性有机物指纹图谱,对比两者挥发性有机物的差异。方法 基于GC-IMS检测白及饮片和黄花白及饮片的挥发性有机物,采用直观法和指纹图谱法对比两者挥发性有机物的差异,并对其进行定性和定量分析;借助主成分分析(PCA)和正交偏最小二乘-判别分析(OPLS-DA)方法对指纹图谱筛选出的差异峰进行分析,并结合变量重要性投影值(VIP值)和P值筛选两者的差异标志物。结果 基于软件内置的NIST数据库和IMS数据库,在两种饮片中共定性出60种挥发性有机物,其以醇类、醛类、酮类为主;通过初步分析可观察到两种饮片部分挥发性有机物的峰强度存在较明显的差异,进一步通过对比指纹图谱和峰体积发现两种饮片共有65种含量差异较大的挥发性有机物,其中,白及有41种含量较高的成分,黄花白及有24种。最后结合VIP值和P值还确定了4-甲基-2-戊酮(二聚体)、樟脑(单体)、5-甲基-2-呋喃甲醇(二聚体)等12种差异标志物。结论 GC-IMS技术可用于白及饮片与黄花白及饮片挥发性有机物的快速分析和对比,为后期开展两者的整体差异研究提供重要的参考。

Abstract

OBJECTIVE To establish the fingerprints of volatile organic compounds (VOCs) in Bletilla striata decoction pieces and Bletilla ochracea decoction pieces based on gas chromatography-ion mobility spectrometry (GC-IMS) technology, and to compare the differences of VOCs between the two decoction pieces. METHODS The VOCs in Bletilla striata decoction pieces and Bletilla ochracea decoction pieces were detected by GC-IMS, and the differences of VOCs in the two kinds of decoction pieces were compared by two methods, the intuitive method and fingerprinting method, and at the same time, the qualitative and quantitative analysis were carried out to identify these volatile organic compounds. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to analyze the differential peaks screened by fingerprints, and the differential marker were screened by combining the variable importance in the projection(VIP) and P-value. RESULTS Based on the built-in NIST database and IMS database in the software, a total of 60 VOCs were identified in two kinds of decoction pieces, most of which were alcohols, aldehydes, and ketones. Through preliminary analysis, it can be observed that the peak intensity of VOCs in two kinds of decoction pieces has obvious differences. Further comparison of fingerprint and peak volume shows that there are 65 kinds of VOCs whose content were quite different in the two kinds of decoction pieces, including 41 components with high contents in Bletilla striata and 24 components in Bletilla ochracea. Finally, combined with VIP and P-value, 12 kinds of differential markers such as the 4-methyl-2-pentanone dimer, alcanfor monomer, 5-methyl-2-furanmethanol dimer and other components were determined. CONCLUSION GC-IMS technology can be used for rapid analysis and comparison of VOCs in Bletilla striata decoction pieces and Bletilla ochracea decoction pieces, which can provide an important reference for the later study of the overall difference between Bletilla striata and Bletilla ochracea.

关键词

白及 / 黄花白及 / 气相色谱-离子迁移谱 / 挥发性有机物

Key words

Bletilla striata / Bletilla ochracea / gas chromatography-ion mobility spectroscopy(GC-IMS) / volatile organic compound

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导出引用
李海洋, 王艳丽, 岳佑凇, 侯富国, 李涵, 范雪花, 姚静, 施钧瀚, 李学林 ,桂新景, 刘瑞新. 基于GC-IMS的白及饮片与黄花白及饮片的挥发性有机物差异研究[J]. 中国药学杂志, 2023, 58(12): 1074-1083 https://doi.org/10.11669/cpj.2023.12.003
LI Hai-yang, WANG Yan-li, YUE You-song, HOU Fu-guo, LI Han, FAN Xue-hua, YAO Jing, SHI Jun-han, LI Xue-lin, GUI Xin-jing, LIU Rui-xin. Study on the Difference of Volatile Organic Compounds Between Bletilla striata Decoction Pieces and Bletilla ochracea Decoction Pieces Based on GC-IMS[J]. Chinese Pharmaceutical Journal, 2023, 58(12): 1074-1083 https://doi.org/10.11669/cpj.2023.12.003
中图分类号: R284   

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基金

国家自然科学基金项目资助(81773892);国家重点研发计划中医药现代化重点专项资助(2017YFC1703400,2017YFC1703401,2017YFC1703402);河南省中医药拔尖人才培养项目资助(2019ZYBJ07);河南省高层次人才特殊支持“中原千人计划”-“中原青年拔尖人才”项目资助(ZYQR201912158);河南省卫生健康中青年学科带头人专项资助(HNSWJW-2020014);河南省科技攻关项目资助(222102310377);河南省卫生健康委员会国家中医临床研究基地科研专项课题资助(2021JDZY104);2022年协同创新中心研究生科研创新基金项目资助(协同中心[2022]002)
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