The aim of this study was to optimize the sample preparation and methods for analysis of oligosaccharides of hyaluronic acid with MALDI- TOF-MS. The analysis was carried out on an Autoflex speed MADLI-TOF- MS instrument with both linear and reflectron mode. Matrices used in this study were 2,5-DHB and Super-DHB and type of matrix was chosen depending on the size of the analyzed oligosaccharides. The application of sample and matrix on the target that gave the most homogenous crystallization was sandwich and the laser power in the MALDI was kept at 65 %. Since it is known that salts and buffers interfere with the analysis, sample clean-up such as solid phase extraction (SPE) in pipette tips and dialysis was performed. SPE worked best for low mass oligosaccharides and provided high intensity and little noise. With SPE a concentration of the analyte could be done which was the advantage over dialysis. Dialysis worked well for larger oligosaccharides and mixtures of different sized oligosaccharides. Another way of using MALDI for biomolecule analysis is with TLC-MALDI. A fast and accurate separation was achieved and analysis could be done directly from the plate. The optimized methods were evaluated according to linearity and precision, LOD, mass accuracy and matrix stability. The linearity and precision was good in a higher concentration range (50 μg/mL and higher), but the test for limit-of-detection (LOD) indicated that concentrations from 20-30 μg/mL could be analyzed with no interference from the background. The mass accuracy was within the acceptable limits according to Bruker Daltonics when a mass calibration was done for each analyzed sample. The stability of the matrix in solution was difficult to study because of the day-to-day variation in intensities given by the MALDI-TOF-MS technique.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-277957 |
Date | January 2016 |
Creators | Liti, Samone |
Publisher | Uppsala universitet, Avdelningen för analytisk farmaceutisk kemi |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | UPTEC K, 1650-8297 ; 15037 |
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