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- W4315706529 abstract "We show that the rough particles studded with platinum nanoparticles can be fabricated straightforwardly and in a single step at room temperature. These rough particles displayed a good catalytic power (100% removal efficiency) against a model industrial dye (methylene blue) and pharmaceutical residue (tetracycline) within a reasonable time scale. Further, we illustrate the effects of particle size, concentration, and contact patterns on the performance of rough catalytic particles. The semi-batch conditions favoured the complete decomposition of tetracycline within 40 min, but the batch-wise operation offered a good contacting pattern for methylene blue yielding a maximal output within 10 min. The kinetics of the heterogeneous catalytic process modelled by Langmuir-Hinshelwood kinetics predicts that the given methylene blue decomposition reaction induced by the rough particles follows the pseudo-first-order kinetics. The rate constants for the reaction catalyzed by 0.6 and 1.0um-sized rough particles are 0.048 and 0.032 min^-1, respectively. Furthermore, we established the proof-of-concept using magnetically-responsive rough particles for real-time applications, including decontamination and recovery of catalyst particles via an externally applied magnetic field in one cycle. Our proposed method helps achieve a near-100% degrading efficiency within 10 to 40 min at minimal catalytic particle concentration, i.e., 200 ppm. Since we can turn the rough particles into super-paramagnetic, we can recover and reuse them for several wastewater treatment cycles without incurring any running costs." @default.
- W4315706529 created "2023-01-12" @default.
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- W4315706529 date "2023-01-10" @default.
- W4315706529 modified "2023-09-30" @default.
- W4315706529 title "Removal of industrial dye and pharmaceutical product using the nano and micron-sized PS rough particles studded with Pt nanoparticles" @default.
- W4315706529 doi "https://doi.org/10.48550/arxiv.2301.03891" @default.
- W4315706529 hasPublicationYear "2023" @default.
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