Sensitive Analyses of Neutral N-Glycans using Anion-Doped Liquid Matrix G3CA by Negative-Ion Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry
Autor: | Koichi Tanaka, Takashi Nishikaze, Shin-ichirou Kawabata, Yuko Fukuyama |
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Rok vydání: | 2012 |
Předmět: |
Anions
Detection limit Coumaric Acids Chemistry Analytical chemistry Signal-To-Noise Ratio Mass spectrometry Guanidines Analytical Chemistry Ion Surface-enhanced laser desorption/ionization Matrix-assisted laser desorption/ionization Fragmentation (mass spectrometry) Polysaccharides Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Ionization Desorption Gases Propionates |
Zdroj: | Analytical Chemistry. 84:6097-6103 |
ISSN: | 1520-6882 0003-2700 |
DOI: | 10.1021/ac3009803 |
Popis: | Negative-ion fragmentation of N-glycans has been proven to be more informative than that of positive-ion. In particular, it defines structural features such as the specific composition of the two antennae and the location of fucose. However, negative-ion formation of neutral N-glycans by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) remains a challenging task, and the detection limit of N-glycans in negative-ion mode is merely at the subpicomole level. Thus, practical applications are limited. In this study, combinations of five liquid matrices and nine anions were used to ionize N-glycans as anionic adducts, and their performances for sensitive analyses were evaluated. The best results were obtained with anion-doped liquid matrix G(3)CA, which consists of p-coumaric acid and 1,1,3,3-tetramethylguanidine; the detection limits of anion adducted N-glycans were 1 fmol/well for NO(3)(-), and 100 amol/well for BF(4)(-). Negative-ion MS(2) spectra of 1 fmol N-glycans were successfully acquired with a sufficient signal-to-noise ratio and were quite useful for MS-based structural determination. The anion-doped G(3)CA matrix opens the way for sensitive and rapid analysis of neutral N-glycans in negative-ion MALDI at a low femtomole level. |
Databáze: | OpenAIRE |
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