分析与检测

基于顶空固相微萃取-气相色谱-质谱联用技术对不同产地黄金百香果的代谢组学分析

  • 卢晨 ,
  • 陈楠 ,
  • 王立娟 ,
  • 袁启风 ,
  • 颜培玲 ,
  • 史斌斌 ,
  • 粟睿 ,
  • 马玉华
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  • 1(贵州省果树科学研究所,贵州 贵阳,550006)
    2(从江县农业农村局农经站,贵州 黔东南苗族侗族自治州,557400)
    3(贵州省农业科学院,贵州 贵阳,550006)
第一作者:硕士,研究实习员(马玉华研究员为通信作者,E-mail:myh79@163.com)

收稿日期: 2023-04-03

  修回日期: 2023-05-26

  网络出版日期: 2023-10-25

基金资助

贵州省省级科技计划项目资助(黔科合成果[2023]一般070;黔科合服企[2019]4002-2;黔科合基础-ZK[2023]一般168)

Metabonomics study on golden passion fruit from different geographical areas based on HS-SPME-GC-MS

  • LU Chen ,
  • CHEN Nan ,
  • WANG Lijuan ,
  • YUAN Qifeng ,
  • YAN Peiling ,
  • SHI Binbin ,
  • SU Rui ,
  • MA Yuhua
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  • 1(Guizhou Institute of Fruit Science, Guiyang 550006, China)
    2(Agricultural Economy Station of Congjiang County Agricultural and Rural Bureau, Qiandongnan miao and dong autonomous prefecture 557400, China)
    3(Guizhou Academy of Agricultural Sciences, Guiyang 550006, China)

Received date: 2023-04-03

  Revised date: 2023-05-26

  Online published: 2023-10-25

摘要

该实验使用顶空固相微萃取-气相色谱-质谱联用技术对来自3个不同产地黄金百香果果肉的挥发性代谢物质进行了定性和定量分析。共鉴定出183种与香气相关的挥发性代谢物质,分成14类,其中酯类最为常见,占38%。通过主成分分析方法分析挥发性成分,结果显示来自不同地区的样品被分为3组。正交偏最小二乘法判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)分析表明该模型稳定,可用于筛选挥发性代谢物质的差异。通过OPLS-DA模型分析3个比较组中的挥发性代谢物质,筛选出投影中的可变重要性(variable importance in projection,VIP)值≥1,且P<0.05的成分,主要包含酯类和萜类等物质,可用于后续研究。结果表明不同产地的黄金百香果挥发性代谢物质存在差异,该研究可为黄金百香果的产地鉴别和品质评价提供参考。

本文引用格式

卢晨 , 陈楠 , 王立娟 , 袁启风 , 颜培玲 , 史斌斌 , 粟睿 , 马玉华 . 基于顶空固相微萃取-气相色谱-质谱联用技术对不同产地黄金百香果的代谢组学分析[J]. 食品与发酵工业, 2023 , 49(18) : 315 -321 . DOI: 10.13995/j.cnki.11-1802/ts.035700

Abstract

The volatile metabolites from the pulp of passion fruits from three different origins were qualitatively and quantitatively analyzed using head space solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) technology. A total of 183 volatile metabolites related to aroma were identified and classified into 14 categories, with esters being the most common, accounting for 38%. The volatile components were also analyzed by principal component analysis, and the results showed that the samples from different regions were divided into three groups. Orthogonal partial least squares-discriminant analysis (OPLS-DA) indicated that the model was stable and could be used to screen differences in volatile metabolites. Through OPLS-DA model analysis of volatile metabolites in the three comparison groups, components with variable importance in projection value ≥1 and P<0.05 were selected, mainly including esters and terpenes, which could be used for further research. Results showed that there were differences in volatile metabolites of passion fruits from different origins, and this study can provide a reference for origin identification and quality evaluation of passion fruits.

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