School of Pharmacy, University of Wisconsin, 777 Highland Avenue, Madison, Wisconsin 53705, USA.
Analyst. 2013 Nov 7;138(21):6600-6. doi: 10.1039/c3an01225e.
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometric imaging (MSI) has been employed as a detection method for both capillary electrophoresis (CE)-MALDI and liquid chromatography (LC)-MALDI analyses. Based on our previous studies, here we report a new interface to couple LC with MSI by employing an automated matrix sprayer. The LC trace is directly collected on a ground stainless steel MALDI plate and dried. The matrix is sprayed on the MALDI plate using a programmable matrix sprayer. With the highly uniform matrix layers produced from the sprayer, the MS image signal quality is significantly improved with enhanced signal-to-noise ratios for analyte peaks. With the programmable matrix application and imaging MS data acquisition, the new LC-MSI platform exhibits highly stable and reproducible performance. A total of 87 bovine serum albumin (BSA) tryptic peptides and 295 putative neuropeptides from blue crab pericardial organs have been observed with LC-MSI analysis, exhibiting better performance in terms of peptide coverage than regular LC-MALDI with discrete spot collection and our previously reported LC-MSI interface with the matrix being delivered by a capillary. In addition to relative quantitation with isotopic labeling as we have previously demonstrated, we performed the first absolute quantitation using the new LC-MSI platform and obtained accurate quantitation results for neuropeptides, indicating great potential for quantitative analysis of complex samples.
基质辅助激光解吸/电离(MALDI)质谱成像(MSI)已被用作毛细管电泳(CE)-MALDI 和液相色谱(LC)-MALDI 分析的检测方法。基于我们之前的研究,在这里我们报告了一种新的接口,通过使用自动化基质喷雾器将 LC 与 MSI 耦合。LC 痕量直接收集在研磨不锈钢 MALDI 板上并干燥。基质使用可编程基质喷雾器喷涂在 MALDI 板上。通过喷雾器产生的高度均匀的基质层,MS 图像信号质量得到显著改善,分析物峰的信噪比增强。通过可编程基质应用和成像 MS 数据采集,新的 LC-MSI 平台表现出高度稳定和可重复的性能。总共观察到 87 个牛血清白蛋白(BSA)胰蛋白酶肽和 295 个蓝蟹心脏器官中的假定神经肽,与常规 LC-MALDI 离散点采集和我们之前报道的通过毛细管输送基质的 LC-MSI 接口相比,具有更好的肽覆盖率性能。除了我们之前证明的同位素标记的相对定量外,我们还使用新的 LC-MSI 平台进行了第一次绝对定量,并获得了神经肽的准确定量结果,表明该平台在分析复杂样品方面具有很大的潜力。