A data-driven approach to predicting the attachment density of biofouling organisms

Andre E. Vellwock, Jimin Fu, Yuan Meng, V. Thiyagarajan, Haimin Yao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The attachment efficiency of biofouling organisms on solid surfaces depends on a variety of factors, including fouler species, nutrition abundance, flow rate, surface morphology and the stiffness of the solid to which attachment is to be made. So far, extensive research has been carried out to investigate the effects of these factors on the attachment of various fouling species. However, the results obtained are species-dependent and scattered. There is no universal rule that can be applied to predict the attachment efficiency of different species. To solve this problem, the authors carried out meta-analysis of the effects of ten selected factors on attachment efficiency, resulting in a universal correlation between the attachment density and the selected factors, which was validated by attachment tests of tubeworms on PDMS surfaces. The results provide a practical approach to predicting the attachment efficiency of fouling organisms and should be of great value in the design of anti-biofouling materials.

Original languageEnglish
Pages (from-to)832-839
Number of pages8
JournalBiofouling
Volume35
Issue number8
DOIs
Publication statusPublished - 14 Sep 2019

Keywords

  • anti-biofouling
  • dimensional analysis
  • Marine biofouling
  • meta-analysis
  • regression
  • surface topography

ASJC Scopus subject areas

  • Aquatic Science
  • Applied Microbiology and Biotechnology
  • Water Science and Technology

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