Fluoropolymer Coatings with Inhibitor-Laden Zinc Oxide Nanoparticles: Electrochemical Characterization and Monte Carlo Simulation

In this study, we developed coatings of varying concentrations (2, 4, and 6 wt %) from zinc oxide (ZnO) nanoparticles coated with a layered phytic acid shell dispersed in poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) matrix. Comprehensive electrochemical, mechanical, thermal, and microscopic investigations were performed. Results from impedance measurement revealed that the coating with 6 wt % inhibitor-loaded ZnO had higher impedance and charge-transfer resistance than those with lower concentrations, indicating better corrosion resistance. Moreover, improved corrosion resistance was attributed to the passive barrier properties of PVDF-HFP and active corrosion inhibition via PO43– ion released from the ZnO nanoparticles, as evidenced by spectroscopy and electrochemical results, whereas the 4 wt % formulation showed the best mechanical attributes, including surface hardness, adhesion strength, and tensile properties, due to uniform nanoparticle dispersion and interfacial interactions within the layered shell. Further, microscopy results showed enhanced nanoparticle dispersion, surface defects, and interfacial interactions. Thermal and mechanical analyses revealed enhanced thermal stability and segmental rigidity, indicative of stronger polymer–filler interactions within the coatings. Impedance trends at intermediate, untested nanofiller concentrations were predicted by propagating experimental uncertainty between measured data points using a Monte-Carlo-based stochastic interpolation methodology. This experimental and data-driven interpolation approach showed the coatings’ multifunctional protective action and rationally supports screening formulations for corrosion prevention.

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Publication Details

Journal
ACS Applied Engineering Materials
Published
2025-12-17
DOI
https://doi.org/10.1021/acsaenm.5c00871
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
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article

Fluoropolymer Coatings with Inhibitor-Laden Zinc Oxide Nanoparticles: Electrochemical Characterization and Monte Carlo Simulation

Mohiuddin Abdul Quadir, Reymark D. Maalihan, Marcel Roy B. Domalanta, Eugene B. Caldona et al.
1 citations
ACS Applied Engineering Materials
Advanced Sensor and Energy Harvesting Materials
0.67
article

Fluoropolymer Coatings with Inhibitor-Laden Zinc Oxide Nanoparticles: Electrochemical Characterization and Monte Carlo Simulation

Mohiuddin Abdul Quadir, Reymark D. Maalihan, Marcel Roy B. Domalanta, Eugene B. Caldona, Jan Vincent M. Madayag, Siavash Mansouri, Sri Teja Garapati
article en
1 citations

Abstract

In this study, we developed coatings of varying concentrations (2, 4, and 6 wt %) from zinc oxide (ZnO) nanoparticles coated with a layered phytic acid shell dispersed in poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) matrix. Comprehensive electrochemical, mechanical, thermal, and microscopic investigations were performed. Results from impedance measurement revealed that the coating with 6 wt % inhibitor-loaded ZnO had higher impedance and charge-transfer resistance than those with lower concentrations, indicating better corrosion resistance. Moreover, improved corrosion resistance was attributed to the passive barrier properties of PVDF-HFP and active corrosion inhibition via PO43– ion released from the ZnO nanoparticles, as evidenced by spectroscopy and electrochemical results, whereas the 4 wt % formulation showed the best mechanical attributes, including surface hardness, adhesion strength, and tensile properties, due to uniform nanoparticle dispersion and interfacial interactions within the layered shell. Further, microscopy results showed enhanced nanoparticle dispersion, surface defects, and interfacial interactions. Thermal and mechanical analyses revealed enhanced thermal stability and segmental rigidity, indicative of stronger polymer–filler interactions within the coatings. Impedance trends at intermediate, untested nanofiller concentrations were predicted by propagating experimental uncertainty between measured data points using a Monte-Carlo-based stochastic interpolation methodology. This experimental and data-driven interpolation approach showed the coatings’ multifunctional protective action and rationally supports screening formulations for corrosion prevention.

ACS Applied Engineering MaterialsVol. 4(1)
University of Central Florida (US), Dakota State University (US), Innovation Cluster (Canada) (CA), North Dakota State University (US)
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
0.67
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