Facile preparation of a novel chitosan-derived porous graphitized carbon biomaterial for highly efficient capture of N-glycans

The comprehensive characterization of N-glycans is of significant importance for the discovery of potential biomarkers and the diagnosis and therapy of diseases. Herein, we designed and fabricated a porous graphitized carbon biomaterial (CS-900-1C) using cheap and available chitosan as the carbon source via a facile pyrolysis process and a post-oxidation strategy for the effective capture of N-glycans. Thanks to its large surface area (2846 m(2) g(-1)), high graphitization degree, suitable oxidation degree and unique porous structure, the CS-900-1C biomaterial exhibits an ultralow detection limit (1 ng mu L-1), an excellent size-exclusion effect (OVA digest : BSA protein : OVA protein, 1 : 1000 : 1000, w/w/w) and satisfactory reusability (at least 8 cycles) in the capture of standard N-glycans. Moreover, CS-900-1C has successfully been applied in profiling the difference of N-glycans during diabetes progression (obesity, impaired glucose tolerance, diabetes patients and healthy control) where we discovered that the expression levels of five N-glycans show a gradually increasing trend as diabetes progresses. Remarkably, the five specific N-glycans could be considered as biomarkers to accurately diagnose the progression of diabetes. Our work not only developed a novel porous graphitized carbon biomaterial for the large-scale characterization of N-glycans but also provided new guidance for the precise therapy of diabetes.

Automated summary

The comprehensive characterization of N-glycans is crucial for the discovery of potential biomarkers and the diagnosis and therapy of diseases. In this study, a porous graphitized carbon biomaterial was designed and fabricated for the effective capture of N-glycans. The biomaterial exhibited excellent performance in the capture of standard N-glycans and was successfully applied in profiling the difference of N-glycans during diabetes progression, discovering potential biomarkers for accurate diagnosis.