Abstract
Recently, considerable attention has been devoted to the development of superhydrophobic surfaces due to their advantageous antifouling and antimicrobial capacity. While significant effort has been devoted to fabricating such surfaces, very few polymeric superhydrophobic surfaces can be considered durable against various externally imposed stresses. Pyrogenic hydrophobic silica nanoparticles were used to confer superhydrophobic properties to the coatings. 450 samples were prepared using a layer-by-layer approach, deposing an epoxy resin or PDMS layer as adhesive on a substrate (PC/ABS), followed by one or more layers of silica nanoparticles, or silica-resin mixed layers. The best coating obtained shows a contact angle of 157° and a tape peeling grade resistance. The applied method involves the spray deposition of a multilayer coating composed of: silica layer/epoxy resin layer/silica layer, followed by partial curing of the coating (15 min, 70 °C); another silica layer is then sprayed on the surface and is cured for 10 min. Given the high number of parameters involved, process optimization is quite tricky. Artificial Neural Networks are the best tool to deal with multivariate analysis problems and for this reason, data from all the prepared samples were collected into a matrix and was used to train a neural network capable of predicting the degree of hydrophobicity of a silica nanoparticles-based coating.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Zhang, X., Wang, L., Levanen, E.: Superhydrophobic surfaces for the reduction of bacterial adhesion. RSC Adv. 3(30), 12003–12020 (2013)
Piotto, S., Concilio, S., Sessa, L., Iannelli, P., Porta, A., Calabrese, E.C., et al.: Novel antimicrobial polymer films active against bacteria and fungi. Polym. Compos. 34(9), 1489–1492 (2013)
Piotto, S., Concilio, S., Sessa, L., Diana, R., Torrens, G., Juan, C., et al.: Synthesis and antimicrobial studies of new antibacterial azo-compounds active against staphylococcus aureus and listeria monocytogenes. Molecules 22(8), 1372 (2017)
Piotto, S., Di Biasi, L., Sessa, L., Concilio, S.: Transmembrane peptides as sensors of the membrane physical state. Front. Phys. 6, 48 (2018)
Concilio, S., Sessa, L., Petrone, A.M., Porta, A., Diana, R., Iannelli, P., et al.: Structure modification of an active azo-compound as a route to new antimicrobial compounds. Molecules 22(6), 875 (2017)
Concilio, S., Iannelli, P., Sessa, L., Olivieri, R., Porta, A., De Santis, F., et al.: Biodegradable antimicrobial films based on poly(lactic acid) matrices and active azo compounds. J. Appl. Polym. Sci. 132(33) (2015)
Clauss-Lendzian, E., Vaishampayan, A., de Jong, A., Landau, U., Meyer, C., Kok, J., et al.: Stress response of a clinical Enterococcus faecalis isolate subjected to a novel antimicrobial surface coating. Microbiol. Res. 207, 53–64 (2018)
Gwisai, T., Hollingsworth, N.R., Cowles, S., Tharmalingam, N., Mylonakis, E., Fuchs, B.B., et al.: Repurposing niclosamide as a versatile antimicrobial surface coating against device-associated, hospital-acquired bacterial infections. Biomed. Mater. 12(4), 045010 (2017)
Zhang, X.-F., Zhao, J.-P., Hu, J.-M.: Abrasion-resistant, hot water-repellent and self-cleaning superhydrophobic surfaces fabricated by electrophoresis of nanoparticles in electrodeposited sol-gel films. Adv. Mater. Interfaces 4(13), 1700177 (2017)
Genzer, J., Efimenko, K.: Recent developments in superhydrophobic surfaces and their relevance to marine fouling: a review. Biofouling 22(5), 339–360 (2006)
Crick, C.R., Ismail, S., Pratten, J., Parkin, I.P.: An investigation into bacterial attachment to an elastomeric superhydrophobic surface prepared via aerosol assisted deposition. Thin Solid Films 519(11), 3722–3727 (2011)
Privett, B.J., Youn, J., Hong, S.A., Lee, J., Han, J., Shin, J.H., et al.: Antibacterial fluorinated silica colloid superhydrophobic surfaces. Langmuir: ACS J. Surf. Colloids 27(15), 9597–9601 (2011)
Lima, A.C., Mano, J.F.: Micro-/nano-structured superhydrophobic surfaces in the biomedical field: part I: basic concepts and biomimetic approaches. Nanomedicine 10(1), 103–119 (2015)
Lima, A.C., Mano, J.F.: Micro/nano-structured superhydrophobic surfaces in the biomedical field: part II: applications overview. Nanomedicine 10(2), 271–297 (2015)
Guo, Z., Liu, W., Su, B.-L.: Superhydrophobic surfaces: from natural to biomimetic to functional. J. Colloid Interface Sci. 353(2), 335–355 (2011)
Ellinas, K., Tserepi, A., Gogolides, E.: Durable superhydrophobic and superamphiphobic polymeric surfaces and their applications: a review. Adv. Colloid Interface Sci. 250, 132–157 (2017)
Dettre, R.H., Johnson, R.E.: Contact angle hysteresis contact angle, wettability, and adhesion. Adv. Chem.: Am. Chem. Soc. 43, 136–144 (1964)
Barthlott, W., Neinhuis, C.: Purity of the sacred lotus, or escape from contamination in biological surfaces. Planta 202(1), 1–8 (1997)
Zhang, Z.-H., Wang, H.-J., Liang, Y.-H., Li, X.-J., Ren, L.-Q., Cui, Z.-Q., et al.: One-step fabrication of robust superhydrophobic and superoleophilic surfaces with self-cleaning and oil/water separation function. Sci. Rep. 8(1), 3869 (2018)
Scarratt, L.R.J., Steiner, U., Neto, C.: A review on the mechanical and thermodynamic robustness of superhydrophobic surfaces. Adv. Colloid Interface Sci. 246, 133–152 (2017)
Anastasakis, L., Mort, N.: The development of self-organization techniques in modelling: a review of the group method of data handling (GMDH). Res. Rep.-Univ. Sheffield Depart. Autom. Control Syst. Eng. (2001)
Copyright 2009–2020 © GMDH, LLC. https://gmdhsoftware.com/
Chen, Y.-Y., Lin, Y.-H., Kung, C.-C., Chung, M.-H., Yen, I.H.: Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes. Sens. (Basel). 19(9), 2047 (2019)
Russell, S.J.: Artificial intelligence: a modern approach. Pearson, Harlow (2016)
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 533–536 (1986)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Marrafino, F., Iannelli, P., Di Martino, M., Concilio, S., Piotto, S. (2020). Superhydrophobic Coatings and Artificial Neural Networks: Design, Development and Optimization. In: Piotto, S., Concilio, S., Sessa, L., Rossi, F. (eds) Advances in Bionanomaterials II. BIONAM 2019 2019. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-47705-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-47705-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47704-2
Online ISBN: 978-3-030-47705-9
eBook Packages: EngineeringEngineering (R0)