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A study on volatile metabolites screening by HS‐SPME‐GC‐MS and HS‐GC‐IMS for discrimination and characterization of white and yellowed rice

机译:HS-SPME-GC-MS和HS-GC-IMS筛选挥发性代谢物筛选,用于白色和黄米的辨别

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摘要

Background and objectives Yellowed rice results in serious economic losses to grain industry. This study attempted to profile the volatile metabolites in before‐ and after‐yellowing rice of five Chinese common rice cultivars. Application untargeted metabolomics approach to discover the biomarkers in yellowed rice. Findings The volatile metabolites were detected by headspace‐gas chromatography–ion mobility spectrometry (HS‐GC‐IMS) and headspace solid‐phase microextraction–gas chromatography‐mass spectrometry (HS‐SPME‐GC‐MS). Yellowed rice emitted more aldehydes, alcohols, furan, and less ester than white rice. Partial least squares‐discriminant analysis (PLS‐DA) based on GC‐MS and GC‐IMS data was revealed a good classifying tool for white and yellowed rice. Hexanal, nonanal, octanal, 1‐pentanol, and 2‐pentyl‐furan were selected as the potential markers by the variable importance in projection (VIP) variable selection method. All of these markers were associated with fatty acid oxygenation. Conclusions Comparative analysis and biomarker identification of the volatile metabolites of different cultivars of Chinese yellowed rice lay a foundation for research on yellowing mechanism. Significance and novelty The results of the current study provide a useful basis in the rice yellowing mechanism study. Additionally, a rapid rice aroma analysis method using GC‐IMS was developed. So in the future, yellowed rapid reorganization GC‐IMS technology could be a preferred choice.
机译:背景和目标黄化水稻导致粮食行业的严重经济损失。该研究试图在五种中国常见水稻稻的稻米和淹没的稻米前和繁殖的稻米溶液中剖析挥发性代谢物。应用未确定的代谢组种方法发现黄米的生物标志物。 发现通过顶空 - 气相色谱 - 离子迁移谱(HS-GC-IMS)和顶空固相微萃取 - 气相色谱 - 质谱(HS-SPME-GC-MS)检测挥发性代谢物。黄米饭发出更多的醛,醇,呋喃,比白米的酯更少。基于GC-MS和GC-IMS数据的局部最小二乘判别分析(PLS-DA)揭示了白色和黄米的良好分类工具。通过投影(VIP)可变选择方法的可变重要性,选择己醛,壬醛,辛烷值,1-戊醇和2-戊基呋喃作为潜在标记。所有这些标记与脂肪酸氧合有关。 结论不同品种瓦楞泥型挥发性代谢产物的比较分析与生物标志物鉴定对黄化机制研究的基础。 意义和新颖性目前的研究结果为稻黄化机制研究提供了一种有用的基础。另外,开发了使用GC-IMS的快速水稻香气分析方法。因此,在未来,泛黄快速重组GC-IMS技术可能是一个首选。

著录项

  • 来源
    《Cereal Chemistry》 |2020年第2期|共9页
  • 作者单位

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Tianjin University of Science and Technology College of Food Science and Engineering;

    Central Queensland University School of Medical and Applied Sciences;

    Charles Sturt University ARC Functional Grains Centre;

    Tianjin University of Science and Technology College of Food Science and Engineering;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业化学;食品工业;
  • 关键词

    chemometrics; ion mobility spectrometry; volatile profiling; yellowed rice;

    机译:化学计量学;离子迁移光谱;挥发性剖面;黄米;

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