化学
质谱法
检出限
解吸电喷雾电离
色谱法
样品制备
质谱中的样品制备
萃取电喷雾电离
二氧化钛
微流控
分析化学(期刊)
解吸
微流控芯片
固相萃取
炸薯条
电喷雾
基质辅助激光解吸电喷雾电离
激光器
光流学
数字微流体
基质辅助激光解吸/电离
纳米技术
萃取(化学)
电喷雾电离
二氧化硅
环境电离
动态范围
毛细管电泳-质谱法
表面增强激光解吸/电离
蛋白质组学
电离
作者
B. Li,Hang Li,Chao Yang,Liyuan Guo,Jingxian Yang,Weibo Gao,Menglei Zhao,Jiangjiang Zhang,Rongxin Fu,Kangfu Chen,Wei Xu,Huikai Xie,Shuailong Zhang
标识
DOI:10.1021/acs.analchem.5c03518
摘要
Digital microfluidics (DMF) offers flexible manipulation of discrete droplets, enabling efficient sample processing and integration with various analytical techniques such as mass spectrometry (MS). While recent efforts have been dedicated to coupling DMF with electrospray ionization MS, the integration of DMF with laser desorption ionization (LDI) MS remains unresolved, yet it is crucial for microbial fingerprinting and metabolic analysis. In this study, we introduce an integrated DMF-LDI-MS system for rapid and automated microbial metabolic analysis. By modifying the DMF chip's top substrate with a hydrophilic spot for sample collection and incorporating an adaptor LDI plate, samples processed on the DMF chip can be directly analyzed using LDI-MS. The addition of titanium dioxide nanoparticles during sample processing on the DMF chip effectively eliminates the matrix interferences, increasing detection efficiency. This system achieves a detection limit of 2.86 × 10-7 mol/L for verapamil, with a dynamic range of 3 orders of magnitude, comparable to conventional matrix-assisted LDI-MS. We then applied the system to analyze clinically isolated Escherichia coli, facilitating the extraction of metabolites on the DMF chip and comparison of metabolic expressions between clinically isolated Gram-positive and Gram-negative bacteria. Metabolites such as uracil, indoline, and arginine were identified from both bacteria, with alanyl-alanine exhibiting higher levels in E. coli compared to Staphylococcus aureus, indicating its potential as a biomarker for differentiating these clinically important bacterial species. Overall, this integrated DMF-LDI-MS system provides a useful solution for automated microbial analysis and metabolic profiling with minimum sample consumption.
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