Abstract
The SiO2aerogel has a porous network of spherical silica particles with an average size of 3-5 nm, which provides an extremely high surface area. Herein, SiO2aerogel was synthesized using the sol-gel method with sodium silicate as a precursor, and the SiO2aerogel was applied to matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) as an inorganic matrix for quantitative analysis. In this work, a combi-matrix was prepared by mixing the SiO2aerogel and a conventional organic matrix (CHCA) for quantitative analysis of analytes at an m/z ratio of less than 500. Using the combi-matrix based on the SiO2aerogel with an extremely high porosity, analyte ionization was performed without the mass peaks of the organic matrix (CHCA) for MALDI-MS. The optimal ratio between the SiO2aerogel and the organic matrix was determined to eliminate the mass peaks from the organic matrix and maximize the signal-to-noise ratio (S/N ratio) of the analytes. Quantitative analysis was performed using the optimal combi-matrix system (a mixture of SiO2aerogel and organic matrix (CHCA)). The homogeneous and dense distribution of analytes was demonstrated using fluorescence imaging, and the spot-to-spot and shot-to-shot reproducibility was estimated using the SiO2aerogel. Finally, LDI-MS based on the combi-matrix was applied for the quantitative analysis of a biomarker for colon cancer, dodecanoyl-l-carnitine (DC). Using real samples from healthy volunteers and patients, a medical diagnosis of colon cancer was demonstrated using a combi-matrix.
Original language | English |
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Pages (from-to) | 14798-14810 |
Number of pages | 13 |
Journal | ACS Applied Nano Materials |
Volume | 5 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2022 Oct 28 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea [NRF-2020R1A2B5B01002187, NRF-2020R1A5A101913111, and NRF-2021R1A2C209370611].
Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.
All Science Journal Classification (ASJC) codes
- Materials Science(all)