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

TitleA data-driven approach to predicting the attachment density of biofouling organisms
Authors
KeywordsMarine biofouling
meta-analysis
dimensional analysis
regression
anti-biofouling
Issue Date2019
PublisherTaylor & Francis: STM journals. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/08927014.asp
Citation
Biofouling, 2019, v. 35 n. 8, p. 832-839 How to Cite?
AbstractThe 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.
Persistent Identifierhttp://hdl.handle.net/10722/294632
ISSN
2019 Impact Factor: 2.351
2015 SCImago Journal Rankings: 1.219

 

DC FieldValueLanguage
dc.contributor.authorVellwock, AE-
dc.contributor.authorFu, J-
dc.contributor.authorMeng, Y-
dc.contributor.authorVengatesen, T-
dc.contributor.authorYao, H-
dc.date.accessioned2020-12-08T07:39:42Z-
dc.date.available2020-12-08T07:39:42Z-
dc.date.issued2019-
dc.identifier.citationBiofouling, 2019, v. 35 n. 8, p. 832-839-
dc.identifier.issn0892-7014-
dc.identifier.urihttp://hdl.handle.net/10722/294632-
dc.description.abstractThe 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.-
dc.languageeng-
dc.publisherTaylor & Francis: STM journals. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/08927014.asp-
dc.relation.ispartofBiofouling-
dc.rightsAccepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.subjectMarine biofouling-
dc.subjectmeta-analysis-
dc.subjectdimensional analysis-
dc.subjectregression-
dc.subjectanti-biofouling-
dc.titleA data-driven approach to predicting the attachment density of biofouling organisms-
dc.typeArticle-
dc.identifier.emailVengatesen, T: rajan@hkucc.hku.hk-
dc.identifier.authorityVengatesen, T=rp00796-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/08927014.2019.1667982-
dc.identifier.pmid31570009-
dc.identifier.scopuseid_2-s2.0-85073993384-
dc.identifier.hkuros320388-
dc.identifier.volume35-
dc.identifier.issue8-
dc.identifier.spage832-
dc.identifier.epage839-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0892-7014-

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