...
首页> 外文期刊>Journal of Lipid Research >Quantitative imaging mass spectrometry of renal sulfatides: validation by classical mass spectrometric methods
【24h】

Quantitative imaging mass spectrometry of renal sulfatides: validation by classical mass spectrometric methods

机译:肾脏硫化物的定量成像质谱:通过经典质谱方法的验证

获取原文
获取原文并翻译 | 示例

摘要

In recent years, MALDI imaging MS (IMS) has become a common method in lipid analytics. It enables visualization of the differential distribution of lipids varying only in their acyl chain with good spatial resolution (>=7 |xm/pixel), as well as with high mass accuracy (<3 ppm rms) and high mass resolution (R = 100.000 at m/z 200) (1). Although much work has been put into increasing the sensitivity of this method by the use of different matrix substances (2-7) or improved sample preparation (8-14) that achieves more homogeneous cocrystallization (15), reliability of the semi-quantitative read out remains a matter of debate: Differences in the tissue structure (16) as well as specific matrix analyte interaction (17) are suspected to cause ion suppression followed by unreliable signal response (18). Ionization behaviors of specific molecules are hard to predict because they are influenced by a number of parameters (16, 19). Initially, Burnum et al. (2) picked up this issue in their work on spatial and temporal alterations of phospholipids during mouse embryo implantation. They compared the MALDI IMS data with LC-ESI-MS data obtained in positive or negative mode after laser microdissection (2).
机译:近年来,MALDI成像MS(IMS)已成为脂质分析中的常用方法。它能够以良好的空间分辨率(> = 7 | xm / pixel)以及高质量精度(<3 ppm rms)和高质量分辨率(R = 100.000)可视化仅在酰基链上变化的脂质的差异分布。在m / z 200时)(1)。尽管通过使用不同的基质物质(2-7)或改进的样品制备(8-14)来实现更均匀的共结晶(15),已为提高此方法的灵敏度进行了大量工作,但半定量读取的可靠性仍然存在争议:组织结构的差异(16)和特定基质分析物的相互作用(17)被怀疑会导致离子抑制,进而导致信号响应不可靠(18)。特定分子的电离行为很难预测,因为它们受许多参数的影响(16、19)。最初,Burnum等人。 (2)在他们关于小鼠胚胎植入过程中磷脂的时空变化的研究中发现了这个问题。他们将MALDI IMS数据与激光显微切割后以正或负模式获得的LC-ESI-MS数据进行了比较(2)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号