• EI
  • Scopus
  • 食品科学与工程领域高质量科技期刊分级目录第一方阵T1
  • DOAJ
  • EBSCO
  • 北大核心期刊
  • 中国核心学术期刊RCCSE
  • JST China
  • FSTA
  • 中国精品科技期刊
  • 中国农业核心期刊
  • CA
  • WJCI
  • 中国科技核心期刊CSTPCD
  • 中国生物医学SinoMed
中国精品科技期刊2020
胡广晶, 周围, 张雅珩, 雷春妮. MassworksTM技术结合气相色谱/质谱联用分析黄花蒿挥发油成分[J]. 食品工业科技, 2015, (18): 70-72. DOI: 10.13386/j.issn1002-0306.2015.18.005
引用本文: 胡广晶, 周围, 张雅珩, 雷春妮. MassworksTM技术结合气相色谱/质谱联用分析黄花蒿挥发油成分[J]. 食品工业科技, 2015, (18): 70-72. DOI: 10.13386/j.issn1002-0306.2015.18.005
HU Guang-jing, ZHOU Wei, ZHANG Ya-heng, LEI Chun-ni. Analysis of volatile oil of Artemisia annua L. by MassworksTMtechnology and gas chromatography / mass spectrometr[J]. Science and Technology of Food Industry, 2015, (18): 70-72. DOI: 10.13386/j.issn1002-0306.2015.18.005
Citation: HU Guang-jing, ZHOU Wei, ZHANG Ya-heng, LEI Chun-ni. Analysis of volatile oil of Artemisia annua L. by MassworksTMtechnology and gas chromatography / mass spectrometr[J]. Science and Technology of Food Industry, 2015, (18): 70-72. DOI: 10.13386/j.issn1002-0306.2015.18.005

MassworksTM技术结合气相色谱/质谱联用分析黄花蒿挥发油成分

Analysis of volatile oil of Artemisia annua L. by MassworksTMtechnology and gas chromatography / mass spectrometr

  • 摘要: 运用气相色谱/质谱联用技术(GC/MS)对甘肃永登产黄花蒿挥发油化学成分进行了分析。结合Massworks TM质谱解析软件及NIST谱库检索等手段,确定了黄花蒿挥发油中33种挥发性成分,主要为侧柏酮、桉树醇、邻异丙基甲苯、β-蒎烯、蒿酮、双戊烯和樟脑等。结果显示,Massworks TM技术提供的模拟精准分子量信息对未知化合物的确定具有非常重要的意义,可以为单四级杆质谱确定未知化合物提供重要的依据,可提高谱库检索定性的可靠性。 

     

    Abstract: The constituents of the Artemisia annua L. volatile oil from Yongdeng of Gansu were analyzed by GC/MS,MassworksTMsoftware and NIST library. There were 33 kinds of components determined in the Artemisia annua L. volatile oil, mainly for thujone, eucalyptus alcohol, isopropyl toluene, β- pinene, artemisia ketone,dipentene,camphor and so on. The results showed that MassworksTMtechnology had very important significance to provide accurate molecular weight information of unknown compound. It could provide a strong basis to identify unknown compounds which was obtained by the low-resolution quadruple mass spectrometer,and meanwhile could improve the reliability of spectral library search.

     

/

返回文章
返回