| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Pigram, Paul
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023New insight into degradation mechanisms of conductive and thermally resistant polyaniline filmscitations
- 2023Comparison of Tiling Artifact Removal Methods in Secondary Ion Mass Spectrometry Imagescitations
- 2023Two-Dimensional and Three-Dimensional Time-of-Flight Secondary Ion Mass Spectrometry Image Feature Extraction Using a Spatially Aware Convolutional Autoencodercitations
- 2023Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing mapscitations
- 2022Applications of multivariate analysis and unsupervised machine learning to ToF-SIMS images of organic, bioorganic, and biological systems
- 2020ToF-SIMS and machine learning for single-pixel molecular discrimination of an acrylate polymer microarray
- 2020Analyzing 3D Hyperspectral ToF-SIMS Depth Profile Data Using Self-Organizing Map-Relational Perspective Mappingcitations
- 2018Distinguishing chemically similar polyamide materials with ToF-SIMS using self-organizing maps and a universal data matrixcitations
- 2017Determining the limit of detection of surface bound antibodycitations
- 2016Chromium functionalized diglyme plasma polymer coating enhances enzyme-linked immunosorbent assay performancecitations
Places of action
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article
New insight into degradation mechanisms of conductive and thermally resistant polyaniline films
Abstract
Conductive polyaniline (PANI) coatings find application in various fields, such as electrostatic dissipation, anticorrosion coatings, actives delivery, batteries, and solar control. Improving the thermal and electrical stability of PANI coatings at high temperatures and challenging environments is of growing interest. In this study, a novel polymer blend formulation was developed by adding polyurethane (PU) and sulfonyldiphenol (SDP) to a dinonylnaphthalene sulfonic acid (DNNSA)-doped PANI matrix. Films of the PANI-PU/SDP formulation and unmodified PANI control films were prepared on ITO glass substrates using spin coating, followed by thermal treatment. Characterization of the films was performed using thermogravimetric analysis-mass spectrometry (TGA-MS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS) with depth profiling. Results showed that unmodified PANI films aged at 150 °C exhibited rapid thermo-oxidative degradation, resulting in a significant loss in electrical conductivity after 24 h. The inclusion of PU and SDP remarkably improved the thermal stability of the films, maintaining desirable conductivity levels over a week. ToF-SIMS depth profiling helped identify potential degradation mechanisms and monitor changes in chemical composition throughout the film thickness. This study provides insights into the functionality, optimization, and deployment of these new film types.