Abstract
Aim:This study aims at developing a nondestructive way for investigating protein adsorption on surfaces such as biomaterials using mass spectrometry.Methods:Ventricular cerebrospinal fluid in contact with poly carbonate membranes were used as adsorption templates and on-surface enzymatic digestion was applied to desorb proteins and cleave them into peptides. Mass spectrometric analysis provided both protein identification and determination of protein specific adsorption behavior.Results:In general, the adsorption increased with incubation time but also protein-specific time-resolved adsorption patterns from the complex protein solution were discovered.Conclusion:The method developed is a promising tool for the characterization of biofouling, which sometimes causes rejection and encapsulation of implants and can be used as complement to other surface analytical techniques.
Highlights
Data evaluationPrecursor ions selected for product ion scans were excluded for fragmentation for the following 150 s on the FTICR and 30 s on the Orbitrap
The presented method is a surface-nondestructive tool, to qualitatively investigate time-dependent protein adsorption on basically any type of surface exposed to complex protein solutions
The adsorption in complex protein solution is proved for ventricular cerebrospinal fluid, which was characterized with MS
Summary
Precursor ions selected for product ion scans were excluded for fragmentation for the following 150 s on the FTICR and 30 s on the Orbitrap For both systems, the Xcalibur (Thermo Scientific, version 2.0.7 for FT-ICR and 2.1.0 for the Orbitrap) software was used for data acquisition. The vCSF may contain proteins that originate from, for example, blood and skin transferred into the solution during the sampling process All these parameters will influence the adsorption, and can be measured and analyzed by the described method. A similar pattern between the two studies, in terms of the number of detected peptides for each protein relative to the protein concentration (Table 1) was observed This certifies that a reasonable prediction is that the most common proteins in CSF are among the most common in our model system of vCSF.
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