1. Multivariate analysis of attachment of biofouling organisms in response to material surface characteristics.
- Author
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Gatley-Montross CM, Finlay JA, Aldred N, Cassady H, Destino JF, Orihuela B, Hickner MA, Clare AS, Rittschof D, Holm ER, and Detty MR
- Subjects
- Animals, Bryozoa physiology, Desiccation, Diatoms physiology, Gels, Multivariate Analysis, Static Electricity, Thoracica physiology, Ulva physiology, Aquatic Organisms physiology, Biofouling, Physiological Phenomena, Surface Properties
- Abstract
Multivariate analyses were used to investigate the influence of selected surface properties (Owens-Wendt surface energy and its dispersive and polar components, static water contact angle, conceptual sign of the surface charge, zeta potentials) on the attachment patterns of five biofouling organisms (Amphibalanus amphitrite, Amphibalanus improvisus, Bugula neritina, Ulva linza, and Navicula incerta) to better understand what surface properties drive attachment across multiple fouling organisms. A library of ten xerogel coatings and a glass standard provided a range of values for the selected surface properties to compare to biofouling attachment patterns. Results from the surface characterization and biological assays were analyzed separately and in combination using multivariate statistical methods. Principal coordinate analysis of the surface property characterization and the biological assays resulted in different groupings of the xerogel coatings. In particular, the biofouling organisms were able to distinguish four coatings that were not distinguishable by the surface properties of this study. The authors used canonical analysis of principal coordinates (CAP) to identify surface properties governing attachment across all five biofouling species. The CAP pointed to surface energy and surface charge as important drivers of patterns in biological attachment, but also suggested that differentiation of the surfaces was influenced to a comparable or greater extent by the dispersive component of surface energy.
- Published
- 2017
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