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User-friendly platform for analysis of high mass intact proteins and glycopeptides by laser desorption/ionization-mass spectrometry based on copper oxide particles.
- Source :
-
Analytical & Bioanalytical Chemistry . Feb2024, Vol. 416 Issue 4, p861-872. 12p. - Publication Year :
- 2024
-
Abstract
- Matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) based on micro/nanostructured materials with different natures has received increasing attention for the analysis of a wide variety of analytes. However, up to now, only a few studies have shown the application of simple platforms in MALDI-MS for the identification of intact proteins. The present work reports on the application of copper oxide particles (Cu2O PS), obtained by a greener route, in combination with low amounts of 2,5-dihydroxybenzoic acid (DHB) as a novel hybrid platform. The combined Cu2O PS@DHB matrix, containing only 2.5 mg mL−1 of particles and 10 mg mL−1 of DHB, was easily applicable in MALDI-MS without surface modification of target plates. Under optimal conditions, the analysis of intact proteins up to 150,000 Da was possible, including immunoglobulin G, bovine serum albumin, and cytochrome C with adequate spot-to-spot signal reproducibility (RSD < 10%). In addition, the analysis of glycopeptides from IgG digests was carried out to prove the multipurpose application of the Cu2O PS@DHB platform in the low m/z range (2500–3000 Da). From the obtained results, it can be concluded that the optical and surface properties of as-synthesized Cu2O PS are likely to be responsible for the superior performance of Cu2O PS@DHB in comparison with conventional matrices. In this sense, the proposed user-friendly methodology opens up the prospect for possible implementation in bioanalysis and diagnostic research. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16182642
- Volume :
- 416
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Analytical & Bioanalytical Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 174919724
- Full Text :
- https://doi.org/10.1007/s00216-023-05072-0