We have developed a model, the Surface Energetics Attachment (SEA) model that relates the work of adhesion for an organism to the probability of attachment. The model was used to predict the attachment density of four organisms to a variety of topographies from data available in the literature. The results showed the model was capable of predicting relative attachment density to a high degree of accuracy (R2 = 0.83). Additionally, local effects of topographic configuration were identified and predicted by the model.
An additional tool, the radial distribution function, was applied to zoospores of Ulva linza attached to topographies. This analysis was combined with previously developed mapping techniques to help identify local topographic configuration effects on Ulva attachment that may by missed the SEA model analysis. The radial distribution function showed differences in Rmax and screening distance dependent on the location of the spore on the topography. Additionally, the contributory effects of a single spore extended only 20 μm from the reference which indicated an ideal size for the topography.
Topographies were characterized for their adhesion properties through Atomic Force Microscopy (AFM) measurements and contact angle measurements. The AFM measurements showed site dependence for the work of adhesion for a colloidal probe on a wetted topography as predicted by the SEA model. The contact angle measurements configuration dependence for static, advancing and receding contact angle measurements for DI water.
Bioassays with Ulva linza and Balanus amphitrite showed good agreement with the SEA model predictions. A high throughput assay was developed to test the Ulva attachment and was successfully used to discriminate differences between 32 simultaneously tested patterns. A series of topographies ranging from 5 μm to 200 μm in size were evaluated for the barnacle cyprid. These were found to inhibit attachment in line with the model predictions. Additionally, tracking experiments showed disruption of the cyprid surface probing dependent on the size of the topography.
|School:||University of Florida|
|School Location:||United States -- Florida|
|Source:||DAI-B 78/05(E), Dissertation Abstracts International|
|Keywords:||Biofouling, Combinatorial, Modeling, Topographies|
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