6-Glycosylaminoquinoline-assisted LDI MS for detection and imaging of small molecules with enhanced detection selectivity and sensitivity

Abstract

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is a powerful tool in the analysis and imaging of small molecules. However, MALDI MS analysis is easily subjected to poor signal reproducibility and selectivity, especially for complex samples. In this study, a matrix glycosylation strategy was proposed to synthesize glycosylated matrices with excellent performances by enhancing the interaction of the matrix with small molecules. A series of glycosylated matrices including 3-glycosylaminoquinoline (3-GAQ), 6-glycosylaminoquinoline (6-GAQ), and 1-amino-5-glycosylaminoquinoline (GDAN) were synthesized by connecting glucose with the existing amine matrices. Compared with their parent matrices and the existing matrix (1,5-diaminonaphathelene, 1,5-DAN), the glycosylated matrices exhibited remarkably-improved sensitivity, higher signal reproducibility (RSD < 9%) in detecting metabolites, demonstrating the effectiveness of the glycosylation strategy. Among them, 6-GAQ exhibited the best performance. Using 6-GAQ, the detection limit of citric acid reached the low fmol range, and the calibration curve of citric acid had ideal linearity (R2 > 0.99), proving that 6-GAQ was capable of accurate quantitative analysis of metabolites. Furthermore, 6-GAQ was used for the imaging of metabolites in the mouse kidney section, showing higher sensitivity and lower background noise than the commonly-used matrices, 9-aminoquinoline (9-AA), and 1,5-DAN. More importantly, 6-GAQ can selectively detect the hydrophilic metabolites, especially the hydrophilic lipids in the mouse kidney. Overall, 6-GAQ is an ideal matrix potentially applied in the imaging and quantitative analysis of hydrophilic small molecules in complex samples.