Quantitative Data Analysis of Amino Acids in Serum Samples Using Surface Assisted Laser Desorption/Ionization Mass Spectrometry (SALDI-MS)

In this work, we analyze the quantitative data of serum samples by developing a method combining fluorous derivatization and surface assisted laser desorption/ionization mass spectrometry (SALDI-MS) to qualify amino acids in serum. The sample is first prepared by C18 beads in methanol to remove proteins, and then selectively labeled by 3-(perfluorohexyl) propan-1-ol, followed by SALDI-MS detection on perfluoro-coated glancing angle deposition (GLAD) films. The non-fluorous biomolecules and salts are removed through simple on-chip washes. The quantitative results show good consistency with normal human ranges, and compare well with other studies, suggesting this method works well for health big data analysis in the future.