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High Accuracy Mass Measurement Approach in the Identification of Phospholipids in Lipid Extracts: 7 T Fourier-transform Mass Spectrometry and MS/MS Validation

机译:鉴定脂质提取物中磷脂的高精度质量测量方法:7 T傅里叶变换质谱和MS / MS验证

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In the present study, the approach of high accuracy mass measurements for phospholipid identifications was evaluated using a 7 T ESI-FTMS/linear ion trap MS/MS. Experiments were carried out for porcine brain, bovine liver, and soybean total lipid extracts in both positive and negative ion modes. In total, 59, 55, and 18 phospholipid species were characterized in the positive ion mode for porcine brain, bovine liver, and soybean lipid extracts, respectively. Assigned lipid classes were PC, PE, PEt, PS, and SM. In the negative ion mode, PG, PS, PA, PE, and PI classes were observed. In the negative ion mode, for porcine brain, bovine liver, and soybean lipid extracts, 28, 34, and 29 species were characterized, respectively. Comparison of our results with those obtained by other groups using derivatization-LC-APCI MS and nano-RP-LC-MS/MS showed that our approach can characterize PC species as effectively as those methods could. In conclusion, we demonstrated that high accuracy mass measurements of total lipid extracts using a high resolution FTMS, particularly, 7T FTMS, plus ion-trap MS/MS are very useful in profiling lipid compositions in biological samples.
机译:在本研究中,使用7 T ESI-FTMS /线性离子阱MS / MS评估了用于磷脂鉴定的高精度质量测量方法。在正离子和负离子模式下对猪脑,牛肝和大豆总脂质提取物进行了实验。在猪脑,牛肝和大豆脂质提取物中,分别以正离子模式表征了59、55和18种磷脂。分配的脂质类别为PC,PE,PEt,PS和SM。在负离子模式下,观察到PG,PS,PA,PE和PI类。在负离子模式下,对于猪脑,牛肝和大豆脂质提取物,分别具有28种,34种和29种的特征。将我们的结果与其他小组使用衍生化LC-APCI MS和nano-RP-LC-MS / MS获得的结果进行比较,结果表明,我们的方法可以像那些方法一样有效地表征PC物种。总之,我们证明了使用高分辨率FTMS(尤其是7T FTMS)加上离子阱MS / MS进行总脂质提取物的高精度质量测量在分析生物样品中的脂质成分方面非常有用。

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