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Surface structures of nanoparticles (NPs) designed at the atomic level are vital to enhance the catalytic performance and stability of NPs. In this work, we report the engineering of plate-like and platelet-like BiVO4 NPs for the formation of heterojunctions with Bi2O3. The morphology and size of NPs were observed using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Raman spectroscopy, SAED and powder X-ray diffraction (XRD) were carried out to show the structural composition and they confirmed monoclinic phases for both BiVO4 and Bi2O3. BiVO4 NPs notoriously have low surface area and pore volume, thus HPEI was incorporated to improve these properties. Brunuer–Emmett–Teller (BET) technique was used to characterize the surface area (SBET) of the photocatalysts and SBET was increased by 88% after the addition of 0.15 mM HPEI during synthesis. Diffuse reflectance spectroscopy was used to elucidate the optical properties of NPs and a blueshift in the heterojunctions was observed due to the incorporation of Bi2O3. Tuning of {010} monoclinic BiVO4 was achieved after the addition of 0.5 M NaCl which resulted in plate-like morphologies showing improved optical and electronic properties. Uniform platelet-like BiVO4 NPs were synthesized successfully after the addition of 0.15 mM HPEI, and this also induced impaired dispersion and size reduction. The calculated band positions of BiVO4 and Bi2O3 in the heterojunctions were well positioned for carrier charge separation, which was confirmed by the flat band potentials that were 0.553, − 0.47, − 0.70 and − 0.77 V for Bi2O3, p-BiVO4, 0.15HPEI–0.5NaCl–BiVO4–Bi2O3 and 0.5NaCl–BiVO4. [ABSTRACT FROM AUTHOR]

This work focused on the computational fluid dynamics (CFD) modeling of H2/N2 separation in a membrane permeator module containing a supported dense Pd-based membrane that was prepared using electroless pore-plating (ELP-PP). An easy-to-implement model was developed based on a source–sink pair formulation of the species transport and continuity equations. The model also included the Darcy–Forcheimer formulation for modeling the porous stainless steel (PSS) membrane support and Sieverts' law for computing the H2 permeation flow through the dense palladium film. Two different reactor configurations were studied, which involved varying the hydrogen flow permeation direction (in–out or out–in). A wide range of experimental data was simulated by considering the impact of the operating conditions on the H2 separation, such as the feed pressure and the H2 concentration in the inlet stream. Simulations of the membrane permeator device showed an excellent agreement between the predicted and experimental data (measured as permeate and retentate flows and H2 separation). Molar fraction profiles inside the permeator device for both configurations showed that concentration polarization near the membrane surface was not a limit for the hydrogen permeation but could be useful information for membrane reactor design, as it showed the optimal length of the reactor. [ABSTRACT FROM AUTHOR]

Background: Measurement of light intensity reaching a point of interest in complex systems is a challenge faced by academia and industry. This study analyzes an optical ray tracing method to predict the radiant intensity reaching a point of interest in a germicidal system., Methods: Implementation was performed by analyzing how the method compares with the discrete ordinate method, radiometry, and actinometry. This study further quantified the effect of the photoreactor quartz tube on the measured intensity for multiple wavelengths., Results: Light intensity losses were estimated to be 10 ± 0.5% for the FX-1 265 source. In contrast, the simulation in a water medium showed an increase of up to 64% in the light intensity delivered to the central part of the tube owing to internal reflections and scattering. Model predictions from ray tracing were successfully compared with the discrete ordinate method (DOM) and experimental data (within ± 6%), ensuring the accurate design of complex systems for water disinfection., Conclusions: The data from simulations address the challenges faced in complex radiation modeling and demonstrate that the method can be utilized as a useful tool for optimization and prediction., Competing Interests: No competing interests were disclosed., (Copyright: © 2024 Uppinakudru AP et al.)