首页> 外文期刊>Journal of Agricultural and Food Chemistry >Lipidomic Fingerprint of Almonds {Prunus dulcis L cv Nonpareil) Using TiO2 Nanoparticle Based Matrix Solid-Phase Dispersion and MALDI-TOF/MS and Its Potential in Geographical Origin Verification
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Lipidomic Fingerprint of Almonds {Prunus dulcis L cv Nonpareil) Using TiO2 Nanoparticle Based Matrix Solid-Phase Dispersion and MALDI-TOF/MS and Its Potential in Geographical Origin Verification

机译:基于TiO2纳米颗粒的固相分散和MALDI-TOF / MS的杏仁(李氏无核)脂质学指纹图谱及其在地理起源验证中的潜力

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摘要

A matrix solid-phase dispersion (MSPD) procedure with titanium dioxide (TiO2) nanoparticles (NP) as sorbent was developed for the selective extraction of phospholipids from almond samples, and matrix-assisted laser desorption ionization—time-of-flight mass spectrometry (MALDI-TOF/MS) was employed for analysis. A remarkable increase in the signals of phospholipid accompanied by a decrease in those of triacylglycerols and diacylglycerols was observed in the relevant mass spectra. The proposed method was applied to five batches of almonds originating from four geographical areas, whereas principal component analysis (PCA) was utilized to normalize the relative amounts of the identified phospholipid species. The results indicated that the lipidomic fingerprint of almonds was successfully established by the negative ion mode spectrum, and the ratio of m/z 833.6 to 835.6 as well as m/z 821.6 could be introduced as potential markers for the differentiation of the tested almonds with different geographical origins. The whole method is of great promise for selective separation of phospholipids from nonphospholipids, especially the glycerides, and superior in fast screening and characterization of phospholipids in almond samples.
机译:开发了一种以二氧化钛(TiO2)纳米颗粒(NP)为吸附剂的基质固相分散(MSPD)程序,用于从杏仁样品中选择性提取磷脂,并进行基质辅助激光解吸电离-飞行时间质谱( MALDI-TOF / MS)用于分析。在相关质​​谱图中观察到磷脂信号显着增加,同时三酰基甘油和二酰基甘油的信号减少。拟议的方法应用于来自四个地理区域的五批杏仁,而主成分分析(PCA)用于归一化鉴定出的磷脂种类的相对量。结果表明,通过负离子模式光谱已成功建立了杏仁的脂质组学指纹图谱,可以将m / z 833.6与835.6和m / z 821.6之比作为潜在的标记物,用于区分受试杏仁。不同的地理起源。整个方法对于从非磷脂,特别是甘油酯中选择性分离磷脂具有广阔的前景,并且在杏仁样品中磷脂的快速筛选和表征方面表现优异。

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