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Multivariate ToF-SIMS image analysis of polymer microarrays and protein adsorption

Hook, Andrew L.; Williams, Philip M.; Alexander, Morgan R.; Scurr, David J.

Authors

ANDREW HOOK ANDREW.HOOK@NOTTINGHAM.AC.UK
Nottingham Research Fellow

DAVID SCURR david.scurr@nottingham.ac.uk
Senior Research Fellow in Surface Analysis



Abstract

The complexity of hyperspectral time of flight secondary ion mass spectrometry (ToF-SIMS) datasets makes their subsequent analysis and interpretation challenging, and is often an impasse to the identification of trends and differences within large sample-sets. The application of multivariate data analysis has become a routine method to successfully deconvolute and analyze objectively these datasets. The advent of high-resolution large area ToF-SIMS imaging capability has enlarged further the data handling challenges. In this work, a modified multivariate curve resolution image analysis of a polymer microarray containing 70 different poly(meth)acrylate type spots (over a 9.2 × 9.2 mm area) is presented. This analysis distinguished key differences within the polymer library such as the differentiation between acrylate and methacrylate polymers and variance specific to side groups. Partial least squares (PLS) regression analysis was performed to identify correlations between the ToF-SIMS surface chemistry and the protein adsorption. PLS analysis identified a number of chemical moieties correlating with high or low protein adsorption, including ions derived from the polymer backbone and polyethylene glycol side-groups. The retrospective validation of the findings from the PLS analysis was also performed using the secondary ion images for those ions found to significantly contribute to high or low protein adsorption.

Journal Article Type Article
Publication Date Feb 6, 2015
Journal Biointerphases
Print ISSN 1934-8630
Electronic ISSN 1559-4106
Publisher AIP Publishing
Peer Reviewed Peer Reviewed
Volume 10
Article Number 019005
APA6 Citation Hook, A. L., Williams, P. M., Alexander, M. R., & Scurr, D. J. (2015). Multivariate ToF-SIMS image analysis of polymer microarrays and protein adsorption. Biointerphases, 10, doi:10.1116/1.4906484
DOI https://doi.org/10.1116/1.4906484
Keywords Least-squares regression; Ion mass spectrometry; Embryonic stem cells; Surfaces; Adhesion; Systems; Growth; Biomaterials; Formulations; Wettability
Publisher URL http://scitation.aip.org/content/avs/journal/bip/10/1/10.1116/1.4906484
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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