Dataset Information

Discovery of novel materials with broad resistance to bacterial attachment using combinatorial polymer microarrays.

ABSTRACT: A new class of bacteria-attachment-resistant materials is discovered using a multi-generation polymer microarray methodology that reduces bacterial attachment by up to 99.3% compared with a leading commercially available silver hydrogel anti-bacterial material. The coverage of three bacterial species, Pseudomonas aeruginosa, Staphylococcus aureus, and uropathogenic Escherichia coli is assessed.

SUBMITTER: Hook AL

PROVIDER: S-EPMC3736217 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Discovery of novel materials with broad resistance to bacterial attachment using combinatorial polymer microarrays.

Hook Andrew L AL Chang Chien-Yi CY Yang Jing J Atkinson Steve S Langer Robert R Anderson Daniel G DG Davies Martyn C MC Williams Paul P Alexander Morgan R MR

Advanced materials (Deerfield Beach, Fla.) 20130218 18

A new class of bacteria-attachment-resistant materials is discovered using a multi-generation polymer microarray methodology that reduces bacterial attachment by up to 99.3% compared with a leading commercially available silver hydrogel anti-bacterial material. The coverage of three bacterial species, Pseudomonas aeruginosa, Staphylococcus aureus, and uropathogenic Escherichia coli is assessed. ...[more]

PMID: 23417823

Similar Datasets

Project description:High throughput materials discovery using combinatorial polymer microarrays to screen for new biomaterials with new and improved function is established as a powerful strategy. Here we combine this screening approach with high throughput surface characterization (HT-SC) to identify surface structure-function relationships. We explore how this combination can help to identify surface chemical moieties that control protein adsorption and subsequent cellular response. The adhesion of human embryoid body (hEB) cells to a large number (496) of different acrylate polymers synthesized in a microarray format is screened using a high throughput procedure. To determine the role of the polymer surface properties on hEB cell adhesion, detailed HT-SC of these acrylate polymers is carried out using time of flight secondary ion mass spectrometry (ToF SIMS), X-ray photoelectron spectroscopy (XPS), pico litre drop sessile water contact angle (WCA) measurement and atomic force microscopy (AFM). A structure-function relationship is identified between the ToF SIMS analysis of the surface chemistry after a fibronectin (Fn) pre-conditioning step and the cell adhesion to each spot using the multivariate analysis technique partial least squares (PLS) regression. Secondary ions indicative of the adsorbed Fn correlate with increased cell adhesion whereas glycol and other functionalities from the polymers are identified that reduce cell adhesion. Furthermore, a strong relationship between the ToF SIMS spectra of bare polymers and the cell adhesion to each spot is identified using PLS regression. This identifies a role for both the surface chemistry of the bare polymer and the pre-adsorbed Fn, as-represented in the ToF SIMS spectra, in controlling cellular adhesion. In contrast, no relationship is found between cell adhesion and wettability, surface roughness, elemental or functional surface composition. The correlation between ToF SIMS data of the surfaces and the cell adhesion demonstrates the ability to identify surface moieties that control protein adsorption and subsequent cell adhesion using ToF SIMS and multivariate analysis.

Dataset Information

Discovery of novel materials with broad resistance to bacterial attachment using combinatorial polymer microarrays.

Publications

Discovery of novel materials with broad resistance to bacterial attachment using combinatorial polymer microarrays.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets