Highly Stable Self-Cleaning Paints Based on Waste-ValORIZED PNC-Doped TiO2 Nanoparticles

Highly Stable Self-Cleaning Paints Based on Waste-ValORIZED PNC-Doped TiO2 Nanoparticles

2024 | Qaisar Maqbool, Orlando Favoni, Thomas Wicht, NiuSha Lasemi, Simona Sabbatini, Michael Stöger-Pollach, Maria Letizia Ruello, Francesca Tittarelli, and Günther Rupprechter
A highly stable self-cleaning paint based on waste-valorized PNC-doped TiO₂ nanoparticles was developed. The study introduces a synthesis method for nonmetal (P, N, and C)-doped TiO₂ nanoparticles using waste valorization. Characterization techniques such as vibrational and photoelectron spectroscopy, electron microscopy, diffraction, and thermal analysis confirmed that the TiO₂ nanoparticles were modified with phosphate (P=O), imine species (R=N-R), and carbon, which hindered the anatase/rutile phase transformation even at 700°C. When added to water-based paints, PNC-doped TiO₂ nanoparticles achieved 96% removal of surface-adsorbed pollutants under natural sunlight or UV, with stable paint formulations confirmed by micro-Fourier transform infrared (FTIR) surface analysis. The photoinduced self-cleaning properties were rationalized by three-dimensional (3D) and synchronous photoluminescence spectroscopy, indicating that the dopants led to 7.3 times stronger inhibition of photoinduced e⁻/h⁺ recombination compared to a benchmark P25 photocatalyst. The study highlights the importance of sustainable nanosynthesis (SNS) in nanoscience and technology, emphasizing the use of waste materials as raw materials and minimizing environmental impact. The PNC-doped TiO₂ nanoparticles demonstrated excellent stability in paint formulations and efficient photocatalytic performance, making them a promising candidate for self-cleaning paints. The results suggest that the synthesis method presented here aligns with green chemistry principles and supports the UN Sustainable Development Goals (SDGs). The study provides a basis for further field testing and commercial applications of the developed paint.A highly stable self-cleaning paint based on waste-valorized PNC-doped TiO₂ nanoparticles was developed. The study introduces a synthesis method for nonmetal (P, N, and C)-doped TiO₂ nanoparticles using waste valorization. Characterization techniques such as vibrational and photoelectron spectroscopy, electron microscopy, diffraction, and thermal analysis confirmed that the TiO₂ nanoparticles were modified with phosphate (P=O), imine species (R=N-R), and carbon, which hindered the anatase/rutile phase transformation even at 700°C. When added to water-based paints, PNC-doped TiO₂ nanoparticles achieved 96% removal of surface-adsorbed pollutants under natural sunlight or UV, with stable paint formulations confirmed by micro-Fourier transform infrared (FTIR) surface analysis. The photoinduced self-cleaning properties were rationalized by three-dimensional (3D) and synchronous photoluminescence spectroscopy, indicating that the dopants led to 7.3 times stronger inhibition of photoinduced e⁻/h⁺ recombination compared to a benchmark P25 photocatalyst. The study highlights the importance of sustainable nanosynthesis (SNS) in nanoscience and technology, emphasizing the use of waste materials as raw materials and minimizing environmental impact. The PNC-doped TiO₂ nanoparticles demonstrated excellent stability in paint formulations and efficient photocatalytic performance, making them a promising candidate for self-cleaning paints. The results suggest that the synthesis method presented here aligns with green chemistry principles and supports the UN Sustainable Development Goals (SDGs). The study provides a basis for further field testing and commercial applications of the developed paint.
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