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中国精品科技期刊2020
张楠,王雪,王珂雯,等. 基于不同提取溶剂和色谱分离模式的芒果浆代谢组学研究[J]. 食品工业科技,2025,46(12):10−19. doi: 10.13386/j.issn1002-0306.2024080198.
引用本文: 张楠,王雪,王珂雯,等. 基于不同提取溶剂和色谱分离模式的芒果浆代谢组学研究[J]. 食品工业科技,2025,46(12):10−19. doi: 10.13386/j.issn1002-0306.2024080198.
ZHANG Nan, WANG Xue, WANG Kewen, et al. Comparative Study of Different Extraction Solvents and Liquid Chromatography Separation Modes on Metabolomics Analysis of Mango Pulp[J]. Science and Technology of Food Industry, 2025, 46(12): 10−19. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024080198.
Citation: ZHANG Nan, WANG Xue, WANG Kewen, et al. Comparative Study of Different Extraction Solvents and Liquid Chromatography Separation Modes on Metabolomics Analysis of Mango Pulp[J]. Science and Technology of Food Industry, 2025, 46(12): 10−19. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024080198.

基于不同提取溶剂和色谱分离模式的芒果浆代谢组学研究

Comparative Study of Different Extraction Solvents and Liquid Chromatography Separation Modes on Metabolomics Analysis of Mango Pulp

  • 摘要: 本研究基于UHPLC-QTOF-MS代谢组学技术,开展了4种提取溶剂和2种色谱模式对芒果浆代谢组学分析的比较研究,旨在通过优化提取溶剂和色谱模式,提出一种优化的代谢组学分析策略。采用四种提取溶剂(纯水、0.1%乙酸水、50%甲醇水、0.1%乙酸50%甲醇水,分别记为H2O、H2O+A、Me和Me+A组)及两种色谱模式(HILIC与RPLC)进行比较,结果表明:提取溶剂中添加0.1%乙酸可提高样品中MS1和MS2的采集数量及峰面积,特别在峰面积为107以上的高响应区间,且样品的可注释组分数量提高,H2O+A组为H2O组的1.39倍,Me+A组为Me组的1.15倍,同时,添加乙酸组的MS2谱图更加清晰,噪音干扰少;(H2O+A)+HILIC和(Me+A)+RPLC模式表现出较强的互补性,与传统仅使用(Me+A)+RPLC相比,联用策略在芒果浆中共注释311种组分,覆盖率增加了近1倍、极性范围扩大了2.4倍。本研究提出的(H2O+A)+HILIC和(Me+A)+RPLC联用分析策略,显著提高了样品中组分的覆盖率和注释率,为芒果浆等果蔬制品中组分解析提供了更加全面的分析方法。

     

    Abstract: This study employed UHPLC-QTOF-MS based metabolomics to investigate the effect of different extraction solvents and chromatography separation modes on the metabolomic analysis of mango pulp, providing a comprehensive and high-throughput analytical method mango pulp. Four extraction solvents—H2O, H2O with 0.1% acetic acid (H2O+A), 50% MeOH (Me), and 50% MeOH with 0.1% acetic acid (Me+A)—were utilized alongside two chromatography modes, HILIC and RPLC. The results indicated that the addition of 0.1% acetic acid significantly enhanced the quantity and peak area of MS1 and MS2 particularly in the high-response region (peak area>107). Annotation results revealed that the number of annotated components in the H2O+A group was 1.39 times greater than that of the H2O group, and the Me+A group annotated 1.15 times more than that of the Me group. Additionally, MS2 spectra from the H2O+A and Me+A groups were cleaner, with less noise interference, leading to more accurate annotation results. The combination of (H2O+A)+HILIC and (Me+A)+RPLC exhibited strong complementarity. This strategy resulted in the annotation of 311 metabolites across mango pulp samples, nearly doubling quantity and expanding the polarity range by 2.4 times compared to the conventional method of (Me+A)+RPLC alone. Combining (H2O+A)+HILIC with (Me+A)+RPLC significantly enhanced metabolite coverage and annotation accuracy. It provides a more comprehensive analytical method for the analysis of components in fruit and vegetable products such as mango pulp.

     

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