Kinoshita M, Nakatani Y, Yamada K, Yamamoto S, Suzuki S. A rapid and facile preparation of APTS-labeled N-glycans by combination of ion pair-assisted extraction and HILIC-SPE for routine glycan analysis.
J Pharm Biomed Anal 2020;
195:113875. [PMID:
33418442 DOI:
10.1016/j.jpba.2020.113875]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/26/2020] [Accepted: 12/26/2020] [Indexed: 11/26/2022]
Abstract
Glycoanalytical technology is required for a wide variety of scientific research, including basic glycobiological pharmaceutical, and biomarker research. Although several innovative analytical techniques have been developed for these purposes, quantitative glycan analysis based on electrophoretic separation, has often been impeded by the lack of cost-effective and facile sample preparation approaches. Here, we developed a rapid and facile sample preparation workflow for cost-effective glycan analysis and demonstrated its use with fully automated microchip electrophoresis (ME). Purification of 8-aminopyrene-1,3,6-trisulfonate (APTS)-labeled glycans was based on the combination of ion-pair assisted extraction (IPAE) with hydrophilic interaction chromatography-solid phase extraction (HILIC-SPE). Compared to commonly used sample preparation methods, the IPAE/HILIC-SPE method undergoes minimal nonspecific loss and undesirable degradation of N-glycans during the purification step. Furthermore, our method required only 10 min, and the entire workflow, including glycan release, labeling, and concentration processes was completed within 4 h. Although the present system should be improved to enable analysis of more complex mixtures, ME-based separation of APTS-labeled N-glycans offers a fully automated operation including conditioning, sample loading, separation, and can be analyzed with a sample-to-sample throughput of 120 s in parallel processes. The present workflow is easy to implement, does not require expensive reagents and instruments and may be useful for glycoscientists across disciplines.
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