Publications by authors named "Thi M Cao"

The increasing prevalence of pharmaceutical contaminants in aquatic ecosystems poses profound challenges for both environmental sustainability and public health. Addressing this pressing issue requires the development of innovative, cost-effective, and efficient remediation approaches. Here we report the synthesis of WO/diatomite composites and their photocatalytic degradation in conjunction with potassium peroxymonosulfate (PMS) activation.

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The treatment or conversion of air pollutants with a low generation of secondary toxic substances has become a hot topic in indoor air pollution abatement. Herein, we used triangle-shaped Ag nanoparticles coupled with SnO for efficient photocatalytic NO removal. Ag triangular nanoparticles (TNPs) were synthesized by the photoreduction method and SnO was coupled by a simple chemical impregnation process.

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TiO nanotube arrays (TNAs) have been studied for photoelectrochemical (PEC) water splitting. However, there are two major barriers of TNAs, including a low photo-response and the fast charge carrier recombination in TNAs, leading to poor photocatalytic efficiency. Through a comparison of MoS/TNAs and g-CN/TNAs, it was found that TNAs modified with MoS and g-CN exhibited a current density of, respectively, 210.

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Article Synopsis
  • The study investigates the effectiveness of FeO/diatomite catalysts in removing ciprofloxacin, an antibiotic, from water using visible light and photo-Fenton reaction.
  • Characterization techniques like X-ray diffraction and scanning electron microscopy were used to analyze the catalysts, revealing that a specific combination of catalyst and hydrogen peroxide led to an impressive 90.03% removal efficiency.
  • The FeO/diatomite catalysts also demonstrated good stability, maintaining over 80% removal after five usage cycles, suggesting their potential for treating antibiotic contamination in wastewater.
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Nitric oxide (NO) removal by photocatalytic oxidation over g-CN has achieved more efficient results. However, there is a concern about the high NO-to-NO conversion yield of products, which is not suitable for the photocatalytic NO reaction. In this study, we modify g-CN by WO nanoplates for the first time for photocatalytic NO oxidation over a WO/g-CN composite to enhance the green product selectivity under atmospheric conditions.

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Semiconducting SnO photocatalyst nanomaterials are extensively used in energy and environmental research because of their outstanding physical and chemical properties. In recent years, nitrogen oxide (NO ) pollutants have received particular attention from the scientific community. The photocatalytic NO oxidation will be an important contribution to mitigate climate change in the future.

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Photocatalysis has been studied and considered as a green and practical approach in addressing environmental pollution. However, factors that affect photocatalytic performance have not been systematically studied. In this work, we have presented a comprehensive roadmap for characterizing, interpreting, and reporting semiconductors' electrical and optical properties through routinely used techniques such as diffuse reflectance spectroscopy, electrochemical techniques (Mott-Schottky plots), photoluminescence, X-ray photoelectron spectroscopy, and ultraviolet photoelectron spectroscopy in the context of photocatalysis.

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Enhancing and investigating the photocatalytic activity over composites for new models remains a challenge. Here, an emerging S-scheme photocatalyst composed of 2D/0D g-CN nanosheets-assisted SnO nanoparticles (g-CN/SnO) is successfully synthesized and used for degrading nitrogen oxide (NO), which causes negative impacts on the environment. A wide range of characterization techniques confirms the successful synthesis of SnO nanoparticles, g-CN nanosheets, and 2D/0D g-CN/SnO S-scheme photocatalysts via hydrothermal and annealing processes.

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Article Synopsis
  • The study examines the effectiveness of Ag/ZnO heterojunction activated by peroxymonosulfate (PMS) to degrade p-nitrophenol (p-NP) contaminants under visible light.
  • The results indicate that using 0.5 g/L of Ag/ZnO and 4 mM PMS can almost completely degrade 30 mg/L of p-NP in just 90 minutes of light exposure.
  • The report also explores the activation mechanisms and roles of different compounds in the reaction through various analytical techniques, suggesting a new method for removing persistent contaminants in wastewater.
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The pursuit of robust photocatalysts that can completely degrade organic contaminants with high performance as well as high energy efficiency, simplicity in preparation, and low cost is an appealing topic that potentially promotes photocatalysts for being used widely. Herein, we introduce a new and efficient SnO/BiS/BiOCl-BiOCl (SnO/BiS-Bi25) composite photocatalyst by taking advantage of the robust, simple, and potentially scalable one-pot synthesis, including the hydrothermal process followed by thermal decomposition. Interestingly, we observed the formation of BiOCl-BiOCl (abbreviated as Bi25) heterojunctions derived from reactions between BiS and SnCl·5HO precursor solutions under the hydrothermal condition and thermal decomposition of BiOCl.

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Removal of nitrogen oxide pollution has attracted much attention, and photocatalysis is considered as an effective method to treat polluted gas. Currently, modified semiconductors with approximate band gap are used as visible-light-driven photocatalysts. Herein, this is the first investigation of photocatalytic removal of NO under visible light over Cr-doped ZnO nanoparticles (Cr-ZnO NPs).

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The anatase-rutile phase transformation of TiO(2) bulk material is investigated using a density functional theory (DFT) approach in this study. According to the calculations employing the Perdew-Burke-Ernzerhof (PBE) exchange-correlation functional with the Vanderbilt ultrasoft pseudopotential, it is suggested that the anatase phase is more energetically stable than rutile, which is in variance with the experimental observations. Consequently, the DFT + U method is employed in order to predict the correct structural stability in titania from electronic-structure-based total energy calculations.

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