4-Phenyl-α-cyanocinnamic Acid Amide: Screening for a Negative Ion Matrix for MALDI-MS Imaging of Multiple Lipid Classes
4-Phenyl-α-cyanocinnamic Acid Amide: Screening for a Negative Ion Matrix for MALDI-MS Imaging of Multiple Lipid Classes
复制标题
DOI：
10.1021/ac4018154
复制
发表时间：
2013-10-01
影响因子：
7.4
通讯作者：
Hopf, Carsten
中科院分区：
文献类型：
--
作者：
Fueloep, Annabelle;Porada, Martina B.;Hopf, Carsten
基质辅助激光解吸/电离成像质谱 (MALDI-IMS) 已成为脂质分析的首选方法，因为它提供了非质谱方法无法轻易获得的特定脂质的定位信息。目前大多数 MALDI 矩阵都是凭经验发现的。然而，人们对许多分析物类别的优先基质特性知之甚少，并且不同脂质类别之间可能存在差异。我们使用合理的基质设计和半自动筛选来发现适合脂质 MALDI-IMS 的新基质。利用 Smartbeam 和氮气激光器进行 MALDI，我们系统地比较了双取代 α-氰基肉桂酸衍生物 (R-1-CCA-R-2) 作为各种脑脂质负离子基质的能力。我们确定 4-苯基-α-氰基肉桂酰胺 (Ph-CCA-NH2) 是一种新型负离子基质，可通过 MALDI-MS 对各种脂质类别进行分析和成像。我们证明，与常用的脂质基质相比，Ph-CCA-NH2 显示出卓越的灵敏度和重现性。相对较少的背景峰和良好的基质抑制效果使 Ph-CCA-NH2 成为广泛适用的脂质分析工具。
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) has become a method of choice in lipid analysis, as it provides localization information for defined lipids that is not readily accessible with nonmass spectrometric methods. Most current MALDI matrices have been found empirically. Nevertheless, preferential matrix properties for many analyte classes are poorly understood and may differ between lipid classes. We used rational matrix design and semiautomated screening for the discovery of new matrices suitable for MALDI-IMS of lipids. Utilizing Smartbeam- and nitrogen lasers for MALDI, we systematically compared doubly substituted alpha-cyanocinnamic acid derivatives (R-1-CCA-R-2) with respect to their ability to serve as negative ion matrix for various brain lipids. We identified 4-phenyl-alpha-cyanocinnamic acid amide (Ph-CCA-NH2) as a novel negative ion matrix that enables analysis and imaging of various lipid classes by MALDI-MS. We demonstrate that Ph-CCA-NH2 displays superior sensitivity and reproducibility compared to matrices commonly employed for lipids. A relatively small number of background peaks and good matrix suppression effect could make Ph-CCA-NH2 a widely applicable tool for lipid analysis.