Suppr超能文献

红外激光辅助解吸电喷雾电离质谱成像中脂质组学的最佳电喷雾参数的确定。

Determination of Optimal Electrospray Parameters for Lipidomics in Infrared-Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging.

出版信息

J Am Soc Mass Spectrom. 2020 Feb 5;31(2):319-325. doi: 10.1021/jasms.9b00063. Epub 2020 Jan 10.

Abstract

Infrared matrix-assisted laser desorption ionization (IR-MALDESI) is an ambient mass spectrometry imaging (MSI) technique that relies on electrospray ionization (ESI) for ion generation of desorbed neutrals. Although many mechanisms in IR-MALDESI have been studied in depth, there has not yet been a comprehensive study of how the ESI parameters change the profiles of tissue specific lipids. Acetonitrile (ACN)/water and methanol (MeOH)/water solvent systems and compositions were varied across a series of applied ESI voltages during IR-MALDESI analysis of rat liver tissue. Gradients of 12 min were run from 5 to 95% organic solvent in both positive and negative polarities across 11 voltages between 2.25 and 4.5 kV. These experiments informed longer gradients (25-30 min) across shorter solvent gradient ranges with fewer voltages. Optimal ESI parameters for lipidomics were determined by the number and abundance of detected lipids and the relative proportion of background ions. In positive polarity, the best solvent composition was 60-75% ACN/40-25% HO with 0.2% formic acid at 3.2 kV applied voltage. The best parameters for negative polarity analysis are 45-55% ACN/55-45% HO with 1 mM of acetic acid for voltages between 2.25 and 3.2 kV. Using these defined parameters, IR-MALDESI positive polarity lipidomics studies can increase lipid abundances 3-fold, with 15% greater coverage, while an abundance increase of 1.5-fold and 10% more coverage can be achieved relative to commonly used parameters in negative polarity.

摘要

红外基质辅助激光解吸电离(IR-MALDESI)是一种大气质谱成像(MSI)技术,它依赖于电喷雾电离(ESI)来产生解吸中性物的离子。尽管 IR-MALDESI 中的许多机制已经被深入研究,但还没有一个全面的研究来了解 ESI 参数如何改变组织特异性脂质的分布。在对大鼠肝组织进行 IR-MALDESI 分析时,我们改变了乙腈(ACN)/水和甲醇(MeOH)/水溶剂体系和组成,并在 2.25 至 4.5 kV 之间的 11 个电压下施加了一系列 ESI 电压。在正、负两种极性下,进行了 12 分钟的梯度洗脱,从 5%到 95%有机相,跨越了 11 个电压。这些实验为脂质组学提供了更长的梯度(25-30 分钟)和更短的溶剂梯度范围,同时减少了电压数量。通过检测到的脂质数量和丰度以及背景离子的相对比例,确定了脂质组学的最佳 ESI 参数。在正极性下,最佳的溶剂组成为 60-75% ACN/40-25% H2O,并添加 0.2%甲酸,施加的电压为 3.2 kV。负极性分析的最佳参数是 45-55% ACN/55-45% H2O,并添加 1 mM 乙酸,施加的电压在 2.25 至 3.2 kV 之间。使用这些定义的参数,IR-MALDESI 正极性脂质组学研究可以将脂质丰度提高 3 倍,覆盖率提高 15%,而在负极性中常用参数的基础上,丰度提高 1.5 倍,覆盖率提高 10%。

相似文献

8
Surface analysis of lipids by mass spectrometry: more than just imaging.质谱法分析脂质的表面特性:不止于成像。
Prog Lipid Res. 2013 Oct;52(4):329-53. doi: 10.1016/j.plipres.2013.04.005. Epub 2013 Apr 24.

引用本文的文献

本文引用的文献

5
METLIN: A Technology Platform for Identifying Knowns and Unknowns.METLIN:一种用于鉴定已知物和未知物的技术平台。
Anal Chem. 2018 Mar 6;90(5):3156-3164. doi: 10.1021/acs.analchem.7b04424. Epub 2018 Feb 9.
7
Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.质谱成像:新兴进展与未来展望综述
Anal Chem. 2018 Jan 2;90(1):240-265. doi: 10.1021/acs.analchem.7b04733. Epub 2017 Dec 13.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验