摘要
Background Monosaccharides and disaccharides are central components of carbohydrate metabolism, and fluctuations in their abundances are closely associated with disease onset, progression, and diagnostic outcomes. However, accurate analysis of trace-level saccharides in complex biological matrices remains challenging due to their limited chromatographic retention, modest ionization efficiency, and limited MS/MS fragmentation. Derivatization has been widely explored to improve analytical performance in LC-MS-based saccharide analysis; nevertheless, further development of simple, sensitive, and broadly applicable strategies is desirable, particularly for small-volume and low-abundance biological samples. This work presents an efficient derivatization-LC-MS approach enabling ultrasensitive quantification of saccharides under microscale analytical conditions. Results A derivatization strategy based on 2-hydrazinyl-6-methoxy-1,3-benzothiazole (HMBT) was developed to enhance LC-MS analysis of monosaccharides and disaccharides. The mild reaction generated stable derivatives directly compatible with LC-MS. HMBT tagging significantly improved chromatographic retention and separation on conventional C18 columns and markedly enhanced ionization efficiency. The derivatives produced high-intensity precursor ions and a dominant, highly responsive product ion, enabling ultrasensitive MRM detection on a triple-quadrupole system. Using nine representative saccharides, the method achieved excellent quantitative linearity down to 10 pg·mL −1 . Application to mouse serum enabled the quantification of glucose at single-cell-equivalent levels, and spiked galactose showed a linear range of 0.05–100 ng·mL −1 . Importantly, the workflow enabled quantification of five endogenous saccharides in individual HeLa cells. Significance The HMBT derivatization workflow provides an ultrahigh-sensitivity LC-MS platform for saccharide analysis, enabling robust MRM-based quantification at pg·mL −1 levels. Its operational simplicity, minimal sample handling, and full compatibility with conventional LC-MS instrumentation facilitate practical implementation. The demonstrated applicability to true single-cell measurements highlights its potential for glycometabolic studies in microscale biological systems.
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