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采用液相色谱-漂移管离子淌度-质谱联用技术对传统方法酿造的红葡萄酒进行指纹图谱分析。

Fingerprinting of traditionally produced red wines using liquid chromatography combined with drift tube ion mobility-mass spectrometry.

机构信息

Division of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, 1190, Vienna, Austria.

Faculty of Agriculture, University "Goce Delčev", Krste Miriskov, 10-A, 2000, Štip, Republic of Macedonia.

出版信息

Anal Chim Acta. 2019 Apr 4;1052:179-189. doi: 10.1016/j.aca.2018.11.040. Epub 2018 Nov 23.

Abstract

The characterization of wine via MS-based metabolic fingerprinting techniques remains a challenging undertaking due to the large number of phenolic compounds that cannot be confidently annotated and identified within analytical workflows. The combination of high performance liquid chromatography with low-field drift tube ion mobility time-of-flight mass spectrometry (HPLC × IMS-TOFMS) offers potential for the confident characterization and fingerprinting of wine using a metabolomics-type workflow. In particular, the use of collision cross section values from low-field drift tube IMS using nitrogen as drift gas (CCS) in addition to retention time and a high resolution mass spectrum for putative compounds allows rugged statistical assessment and identity confirmation using CCS libraries (<0.5% error) to be performed. In the present work, an HPLC × IMS-TOFMS platform has been utilized for the fingerprinting of 42 traditionally produced red wines emanating from the Republic of Macedonia. After establishing the reliability of CCS as an identification point for wine metabolomics in both ionization modes, fingerprinting of wines according to grape variety was undertaken and a full dataset containing retention, accurate mass and CCS values used to derive lists of compounds found to be statistically characteristic for each variety. Putative compounds were further assessed by assignment of in-source and post-drift mass fragments aligned according to retention time, drift time, and accurate mass providing up to seven identification points for a single compound when data from both positive and negative mode measurements are combined.

摘要

基于 MS 的代谢指纹图谱技术对葡萄酒进行特征描述仍然是一项具有挑战性的任务,因为有大量的酚类化合物在分析工作流程中无法被准确注释和鉴定。高效液相色谱与低场漂移管离子淌度飞行时间质谱联用(HPLC×IMS-TOFMS)为使用代谢组学类型的工作流程对葡萄酒进行可靠的特征描述和指纹图谱分析提供了潜力。特别是,在使用氮气作为漂移气体的低场漂移管 IMS 中使用碰撞截面值(CCS),除保留时间和高分辨率质谱外,还可以对假定化合物进行鉴定,从而可以使用 CCS 库(<0.5%的误差)进行坚固的统计评估和身份确认。在本工作中,利用 HPLC×IMS-TOFMS 平台对来自马其顿共和国的 42 种传统生产的红葡萄酒进行了指纹图谱分析。在建立 CCS 作为两种离子化模式下葡萄酒代谢组学鉴定点的可靠性之后,根据葡萄品种对葡萄酒进行了指纹图谱分析,并使用包含保留时间、精确质量和 CCS 值的完整数据集,得出了每种品种存在统计学特征的化合物列表。进一步通过根据保留时间、淌度时间和精确质量对齐的源内和漂移后质量碎片分配来评估假定化合物,当结合正、负模式测量数据时,单个化合物最多可提供七个鉴定点。

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