Exploring the antifouling performance of non-bactericidal and bactericidal film for combating marine biofouling

Author(s):  
Limei Tian ◽  
Huan Wang ◽  
Wei Bing ◽  
Huichao Jin ◽  
Yangeng Shang ◽  
...  
Keyword(s):  
2019 ◽  
Vol 374 (1784) ◽  
pp. 20190203 ◽  
Author(s):  
Kenan P. Fears ◽  
Andrew Barnikel ◽  
Ann Wassick ◽  
Heonjune Ryou ◽  
Janna N. Schultzhaus ◽  
...  

Concerns about the bioaccumulation of toxic antifouling compounds have necessitated the search for alternative strategies to combat marine biofouling. Because many biologically essential minerals have deleterious effects on organisms at high concentration, one approach to preventing the settlement of marine foulers is increasing the local concentration of ions that are naturally present in seawater. Here, we used surface-active borate glasses as a platform to directly deliver ions (Na + , Mg 2+ and BO 4 3− ) to the adhesive interface under acorn barnacles ( Amphibalanus ( =Balanus ) amphitrite ). Additionally, surface-active glasses formed reaction layers at the glass–water interface, presenting another challenge to fouling organisms. Proteomics analysis showed that cement deposited on the gelatinous reaction layers is more soluble than cement deposited on insoluble glasses, indicating the reaction layer and/or released ions disrupted adhesion processes. Laboratory experiments showed that the majority (greater than 79%) of adult barnacles re-attached to silica-free borate glasses for 14 days could be released and, more importantly, barnacle larvae did not settle on the glasses. The formation of microbial biofilms in field tests diminished the performance of the materials. While periodic water jetting (120 psi) did not prevent the formation of biofilms, weekly cleaning did dramatically reduce macrofouling on magnesium aluminoborate glass to levels below a commercial foul-release coating. This article is part of the theme issue ‘Transdisciplinary approaches to the study of adhesion and adhesives in biological systems’.


2020 ◽  
Vol 568 ◽  
pp. 185-197 ◽  
Author(s):  
Snehasish Basu ◽  
Bui My Hanh ◽  
J.Q. Isaiah Chua ◽  
Dan Daniel ◽  
Muhammad Hafiz Ismail ◽  
...  
Keyword(s):  

1995 ◽  
Vol 61 (586) ◽  
pp. 2269-2275 ◽  
Author(s):  
Yasuyuki Ikegami ◽  
Kazuya Urata ◽  
Takeshi Tsuru ◽  
Hiroyuki Sumitomo ◽  
Tatsuo Yamasaki ◽  
...  

Biofouling ◽  
2012 ◽  
Vol 28 (9) ◽  
pp. 895-912 ◽  
Author(s):  
Wen Jing Yang ◽  
Koon-Gee Neoh ◽  
En-Tang Kang ◽  
Serina Siew Chen Lee ◽  
Serena Lay-Ming Teo ◽  
...  

2015 ◽  
Vol 4 ◽  
pp. 445-450 ◽  
Author(s):  
Vlasoula Bekiari ◽  
Konstantinos Nikolaou ◽  
Nikolaos Koromilas ◽  
Georgia Lainioti ◽  
Pavlos Avramidis ◽  
...  

Author(s):  
M.C. Pérez ◽  
M.E. Stupak ◽  
G. Blustein ◽  
M. Garcia ◽  
L. Mårtensson Lindblad
Keyword(s):  

2004 ◽  
Vol 41 (02) ◽  
pp. 67-73
Author(s):  
Chelakara S. Subramanian ◽  
Trond M. Ostrem ◽  
Sathya N. Gangadharan

The energy loss caused by biofouling is costing the marine operations millions of dollars because of lack of complete understanding of their roughness characteristics. Marine biofouling roughness is generally randomly distributed in space, and also varies in shape and texture. The common practice in hydrodynamic analysis is to ignore the details and express them simply by means of a representative length scale dimension. However, many recent studies have shown that this is not a satisfactory approach, particularly when the roughness height is large. The present research aims to develop a better measure of biofouling roughness by using an innovative image analysis technique to model and predict the related hydrodynamic phenomena. The proposed technique employs a combination of stochastic and triangulation techniques that are commonly used in image analysis. An overview of these techniques for surface topography measurement is provided. The present method uses two images of the surface, one from back lighting to spatially locate the roughness peaks and the second from side lighting to determine the height Information at each corresponding spatial location. Thus, a three-dimensional surface roughness distribution can be obtained. Results of some experiments on layers of taped surface and barnacle-laden surface suggests that this method can be used to measure flexible roughness height to within 10% accuracy, with possible improvement with a better lighting and camera resolution.


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