Herein, a hydrophilic graphene composite functionalized with glutathione (GSH) and L(+)-Cysteine (Cys) was prepared via a simple and fast synthesis route, which was named G@S@Au@GC. The combination attack with two different zwitterionic polymers resulted in enhanced adsorption sites for glycopeptides. The obtained G@S@Au@GC exhibited excellent performance on a low limit of detection (0.2 fmol), a high selectivity (HRP: bovine serum albumin = 1:1500), a good load capacity (250 μg•mg −1 ) and recovery rate (93%), which was also evaluated with IgG. Subsequently, 60 glycopeptides from complex biological sample (human saliva) were identified by Nano-LC-MS/MS. The advantages of combination attack, low-cost, simple and fast synthesis, and superior enrichment performance make G@S@Au@GC composite a bright future on glycoproteomics analysis and related diseases.
A Ti4+-functionalized magnetic covalent organic framework material with flexible branched polymers (mCOF@ε-PL@THBA-Ti4+) built via an immobilized metal ion affinity chromatography (IMAC) enrichment strategy was proposed through post-synthesis modification. Hydrophilic ε-poly-L-lysine (ε-PL) rich in amino active groups was first introduced in the fabrication of the phosphopeptide enrichment material to increase the hydrophilicity while providing more functional modification pathways of the material. 2,3,4-Trihydroxy-benzaldehyde (THBA) provides abundant binding sites for the immobilization of numerous Ti4+, which is advantageous for the subsequent efficient phosphopeptide enrichment. The magnetic nanocomposite exhibited outstanding performance of phosphopeptide enrichment with good selectivity (1 : 5000), a low detection limit (2 fmol), and relatively high loading capacity (66.7 mg g−1). What's more, after treatment with mCOF@ε-PL@THBA-Ti4+, 16 endogenous phosphopeptides from fresh saliva of healthy people were recognized by MALDI-TOF MS, and 50 phosphopeptides belonging to 35 phosphoproteins from the serum of uremia patients were detected by nano-LC-MS/MS. Proteomics data analysis for the differential protein selection between uremia and normal controls was conducted using R software, and four down-regulated and three up-regulated proteins were obtained. The results suggested that the prepared material has potential applications in biomarker discovery.
危险品化学品经营许可证（带存储）