Graphitic carbon nitride (g-C3N4) has proved to be a promising heterogeneous photocatalyst in the visible range. It can be used, among others, for the oxidative conversion of environmentally harmful nitrophenols occurring in wastewater. However, its photocatalytic activity needs to be enhanced, which can be achieved by modification with various dopants. In our work, copper-modified g-C3N4 was prepared by ultrasonic impregnation of the pristine g-C3N4 synthesized from thiourea. The morphology, microstructure, and optical properties of the photocatalysts were characterized by XRD, FT-IR, DRS, SEM, XPS, and TEM. DRS analysis indicated a slight change in both the CB and the VB energies of Cu/g-C3N4 compared to those of g-C3N4. The efficiency of the photocatalysts prepared was tested by the degradation of nitrophenols. Copper modification caused a sevenfold increase in the rate of 4-nitrophenol degradation in the presence of H2O2 at pH = 3. This dramatic enhancement can be attributed to the synergistic effect of copper and H2O2 in this photocatalytic system. A minor Fenton reaction role was also detected. The reusability of the Cu/g-C3N4 catalyst was demonstrated through five cycles. Copper-modified g-C3N4 with H2O2 proved to be applicable for efficient visible-light-driven photocatalytic oxidative degradation of nitrophenols.
Metal-organic framework composites, which are combined from metal-organic framework and advanced carbon material, have drawn great attention in many fields of application such as environmental remediation and catalysts. Within this paper, the carbon/MIL-53(Fe) composite was fabricated via an in situ synthesis, in which N-containing carbon dots (NCDs) were mixed with MOF precursors’ solutions under various ratios before going through the solvothermal stage. It was showed that the introduction of a certain amount of NCDs would affect characteristic features and improve the photocatalytic performance of final products. The optimal doping content of NCDs in NCD/MIL-53(Fe) composite was determined. SEM images showed that the M-140 appeared as hexagonal bipyramid-shaped crystals with an average size of 700 nm. Compared with pristine MIL-53(Fe), the M-140 was more visibly light-responsive, and its calculated band gap energy was approximately 2.3 eV. In addition, M-140 catalyst also displayed more excellent photocatalytic activity for Methylene Blue degradation in a pH range from 5 to 7. Under optimal conditions, MB was achieved within 60 minutes and the removal rate was nearly 100% after 5 cycles. The photocatalytic mechanism of the obtained NCD/MIL-53(Fe) composite was discussed.
This minireview highlights recent developments in near-infrared organic photosensitizers for photodynamic cancer therapy. The challenges and future prospects of this promising research field are also discussed.
4 February 2020 in Bulletin of Chemical Reaction Engineering & Catalysis
Multi-Criteria Decision Making (MCDM) methods play a significant role in evaluating and comparing options based on various criteria, helping optimize decisions in complex situations. They enhance transparency and fairness in the decision-making process while minimizing risks and optimizing decision performance. Ranking of Alternatives with Weights of Criterion (RAWEC) is a MCDM method recently proposed in early 2024. Its advantage lies in the minimal steps required for implementation. Simultaneously employing two data normalization approaches is also a distinctive feature of RAWEC compared to most other MCDM methods. However, if there is at least one zero element in the decision matrix, the normalization method using available data in RAWEC cannot be utilized. This study aims to address these limitations. Investigating the suitability of data normalization methods when combined with the RAWEC method has been conducted in various scenarios. The results of this study have addressed the limitations of the RAWEC method. Specifically, an alternative normalization method has been identified as suitable to replace the normalization method using available data in RAWEC when there is at least one zero element in the decision matrix.