Journal of Bio-catalysis and Photocatalysis - Current Issue
Volume 5, Issue 1, 2025
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Application of Artificial Intelligence Modelling Techniques in Photocatalytic Modification Strategies for Predicting Enhanced Performances: A Review
More LessUtilization of Artificial Intelligence (AI) techniques in photocatalytic material science and engineering space has received great attention in recent years. This is because photocatalysis focuses on discovering new and efficient photocatalysts, which mostly rely on conventional try-and-error approaches. However, in recent advancements in technology, vigorous screening and analyses of photocatalytic materials data using various AI techniques revealed structure-property-activity relationships. This has proven to accelerate the discovery of more photocatalysts but its adaptation is still at the elementary stage with some enormous challenges. The purpose of this review is to present an overview of the current progresses made in the utilization of AI techniques in various photocatalytic enhancement strategies (i.e., doping, surface modification/co-catalysis, heterostructuring, synthesis/nanostructuring engineering and quantum dots sensitization) to improve on photocatalytic performance of materials. Detailed discussions on the AI techniques utilized to enhance photocatalytic performances have been presented. In addition, challenges associated with AI-based photocatalysis and the future outlook are also presented. The methodology employed was a search for relevant literature and retrieval from various databases for the study. The results indicated that AI technique models were able to predict photocatalytic performances such as pollutant degradation and hydrogen (H2) production over 90% of experimental performances. The review concludes that the application of AI techniques can considerably improve the design and optimization of photocatalytic material properties as well as the performance of advanced photocatalytic materials.
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Structural Investigations and Photocatalytic Applications of Bi-functional Fe3O4-Nd-ZnO Nanocomposites
Authors: Sudhakar B. Satpal and Anjali A. AthawaleIntroductionIn the present work, Fe3O4-Nd-ZnO (Fe3O4 = 5, 10, 15 wt. %) have been synthesised and investigated for their application as photocatalysts for degradation of Rhodamine 6G (R6G) under UV light.
MethodsThe data acquired from the different analytical techniques showed the successful assembly of the desired photocatalysts. Morphology of the bare components and nanocomposites are observed to be spherical. The band gap energy of nanocomposites was found to be higher (3.29 to 3.24 eV) than bare components. Synergetic effects of the individual components enabled efficacious photocatalytic performances of the nanocomposites.
Results and DiscussionThe photocatalyst 5F-5NZ exhibited photodegradation up to 96.52% within 180 min. The nanocomposites retained the photocatalytic activity even though compounded with Fe3O4 in varied amounts.
ConclusionThe recycle experiments revealed that the photocatalytic activity was conserved which validated the stable and efficient magnetic separable photocatalysts.
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Preparation of g-C3N4 and Application in the Photocatalytic Decoloration of Dermacid Red
Authors: Urs Hackbarth, Christos Argirusis and Georgia SourkouniIntroductionGraphitic carbon nitride (g-C3N4) is a promising photocatalytic material due to its unique structural and electronic properties that enhance photocatalytic activity under UV light. Its layered structure and suitable electronic configuration facilitate the generation of reactive species necessary for catalyzing reactions, such as the degradation of azo dyes, organic pollutants, and hydrogen production.
AimThe aim of the present manuscript is the preparation of g-C3N4 using different methods and educts and the use of the prepared materials for the decoloration of dermacid red.
ObjectiveThe objective of this research is to evaluate the photocatalytic efficiency of g-C3N4 materials, focusing on the impact of different synthesis and exfoliation methods on their performance, particularly in the degradation of the azo dye Dermacid Red.
MethodsCharacterization techniques such as Powder X-ray Diffraction (XRD), Fourier Transform Infrared (FTIR) spectroscopy, and Scanning Electron Microscopy (SEM) were employed to confirm the successful synthesis of the materials and to outline structural differences originating from variations in the synthesis process. The photocatalytic performance was assessed using a custom-designed photocatalytic reactor equipped with UV lamps.
Results and DiscussionThe study reveals that photocatalytic efficiency significantly depends on the material's properties, with chemical and ultrasonic exfoliation methods resulting in a substantial increase in efficiency. Notably, after just four minutes of exposure, complete degradation of the azo dye was achieved, highlighting the g-C3N4 material's potential for practical applications in wastewater treatment and environmental remediation processes.
ConclusionThe consistent results obtained across varying sample preparations further substantiate the reliability of the synthesized materials. This research contributes valuable insights into the development of effective photocatalysts, paving the way for their integration into various industrial processes aimed at pollution reduction and sustainable practices.
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