食品科学 ›› 2021, Vol. 42 ›› Issue (14): 159-164.doi: 10.7506/spkx1002-6630-20200605-073

• 成分分析 • 上一篇    下一篇

基于氮稳定同位素比例质谱和液相色谱-高分辨质谱的有机番茄鉴别

王世成,李国琛,王莹,李波,高凝轩,孙辞,宋阳,王颜红   

  1. (中国科学院沈阳应用生态研究所,辽宁省农产品环境与质量安全控制工程技术研究中心,辽宁 沈阳 110016)
  • 发布日期:2021-07-27
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2016YFD0401201)

Authentication of Organic Tomatoes by Nitrogen Stable Isotope Ratio Mass Spectrometry and Liquid Chromatography-High Resolution Mass Spectrometry

WANG Shicheng, LI Guochen, WANG Ying, LI Bo, GAO Ningxuan, SUN Ci, SONG Yang, WANG Yanhong   

  1. (Liaoning Agricultural Products Research Center of Environment and Quality Safety Control Engineering Technology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)
  • Published:2021-07-27

摘要: 为了解决有机食品鉴别需要多种参数指标进行综合判定,制样过程繁琐,判别正确率偏低的问题,本研究提出一种基于稳定同位素比例质谱和液相色谱-高分辨质谱分析技术,结合偏最小二乘法判别分析(partial least squares-discriminant analysis,PLS-DA)的有机番茄鉴别方法。将采集的94 个番茄样品(有机番茄50 个,普通番茄44 个)匀浆破碎、冷冻干燥后,分析并采集氮同位素比值(δ15N)和液相色谱-高分辨质谱数据,应用PLS-DA方法提取数据信息,建立有机番茄判别模型,筛选并确证出其中判别的标志因子,包括氮同位素比值以及有机酸、黄酮类等13 个特征化合物。所建立的模型对有机番茄的判别正确率为93.4%,基本可以满足有机番茄判别的需要。该研究为有机西红柿的快速判定提供了一种新的技术手段。

关键词: 有机番茄;同位素比例质谱;液相色谱-高分辨质谱;偏最小二乘法判别分析

Abstract: Traditionally, authentication of organic foods requires measuring a variety of parameters before making a comprehensive evaluation, which suffers from the tedious sample preparation and low discrimination accuracy. To address this problem, in this study, a method of identifying organic tomatoes based on stable isotope ratio mass spectrometry (IRMS) and high performance liquid chromatography-high resolution mass spectrometry (HPLC-HRMS) combined with partial least squares discriminant analysis (PLS-DA) was proposed. Specifically, 94 tomatoes were collected, of which 50 were grown organically, while the rest were grown in traditional ways. Each sample was homogenized and freeze-dried before chemical analysis. Nitrogen isotope ratio (δ15N) data and HPLC-HRMS data were acquired. Taken into consideration of all measured factors, a PLS-DA model for discriminating organic tomatoes was established, which was used to select and confirm 13 representative indicators including δ15N, organic acids, and flavonoids. The accuracy of the model was 93.4%, which could meet the requirement for the identification of organic tomatoes. This study provides an advanced approach for discriminating organic tomatoes quickly.

Key words: organic tomato; isotope ratio mass spectrometry; liquid chromatography-high resolution mass spectrometry; partial least squares-discriminant analysis

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