Navigating the hydrogen prospect: A comprehensive review of sustainable source-based production technologies, transport solutions, advanced storage mechanisms, and CCUS integration

Journal of Energy Chemistry, Год журнала: 2024, Номер 97, С. 166 - 215

Опубликована: Июнь 4, 2024

Язык: Английский

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Enhanced photocatalytic degradation of Rhodamine B using polyaniline-coated XTiO3(X = Co, Ni) nanocomposites

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 28, 2025

Abstract In this study, novel polyaniline-coated perovskite nanocomposites (PANI@CoTiO 3 and PANI@NiTiO ) were synthesized using an in situ oxidative polymerization method evaluated for the photocatalytic degradation of Rhodamine B (RhB) a persistent organic pollutant. The displayed significantly enhanced efficiency compared to pure perovskites. 1%wt achieved impressive 94% RhB under visible light after 180 min, while 1wt.% PANI@CoTiO3 reached 87% UV same duration. X-ray diffraction (XRD) confirmed that crystalline structures CoTiO NiTiO remained intact post-polymerization. At time, Fourier transform infrared spectroscopy (FTIR) verified successful deposition PANI through characteristic functional group vibrations. Diffuse reflectance (DRS) revealed reduced band gaps 2.63 eV 2.46 PANI@CoTiO , enhancing absorption across ranges. Scanning electron microscopy (SEM) energy dispersive (EDS) analysis demonstrated uniform distribution PANI, ensuring consistent surface activity efficient charge transfer. test pseudo-first-order mechanism. study elucidates mechanism intermediate identification via HPLC-MS analysis, highlighting N-de-ethylation, aromatic ring cleavage eventual mineralization into CO 2 H O as critical pathways. Furthermore, 1wt.%PANI@NiTiO nanocomposite excellent stability recyclability, maintaining its over four consecutive cycles with minimal change. These findings highlight potential PANI@XTiO sustainable wastewater treatment, addressing diverse environmental challenges by tailoring photocatalysts specific sources.

Язык: Английский

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Transformative strategies in photocatalyst design: merging computational methods and deep learning

Journal of Materials Informatics, Год журнала: 2024, Номер 4(4)

Опубликована: Дек. 31, 2024

Photocatalysis is a unique technology that harnesses solar energy through in-situ processes, operating without the need for external inputs. It integral to advancing environmental, energy, chemical, and carbon-neutral objectives, promoting dual goals of pollution control carbon reduction. However, conventional approach photocatalyst design faces challenges such as inefficiency, high costs, low success rates, highlighting integrating modern technologies seeking new paradigms. Here, we demonstrate comprehensive overview transformative strategies in design, combining computational materials science with deep learning technologies. The review covers fundamental principles followed by examination methods workflow deep-learning-assisted design. Deep approaches are extensively reviewed, focusing on discovery novel photocatalysts, microstructure property optimization, approaches, application exploration, mechanistic insights into photocatalysis. Finally, highlight synergy between multidimensional computation learning, while discussing future directions development. This offers summary offering not only enhance development photocatalytic but also expand practical applications photocatalysis various domains.

Язык: Английский

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The green combustion technique for synthesizing CuO nanoparticles with an extract from Azadirachta indica seeds: potential anticancer and photocatalytic studies using organic dye

Digest Journal of Nanomaterials and Biostructures, Год журнала: 2025, Номер 20(1), С. 37 - 53

Опубликована: Янв. 15, 2025

The present study highlights the biosynthesis of CuO nanoparticles employing an A. indica seed extract and copper sulphate solution by combustion technique. extract's phytocomponents facilitated reduction process formation oxide (CuONPs). TEM, SEM, FTIR, X-ray diffractometry, XPS, ultravioletvisible spectroscopy were used to analyse pure CuONPs. diffractometers characterized CuONPs produced, demonstrating a 12 nm mean particle size. Cu-O stretching vibration bands detected at 532 cm−1 in FT-IR spectrum. In UV-vis, nanoparticles' optical band gaps 2.75 eV, with maximum absorption wavelength 232 nm. SEM HRTEM examine CuONPs; they displayed spherical undefined shapes sizes 17.4 pollution dye rhodamine B was test photocatalytic activity. presence sunlight, remarkable 85% degradation efficiency attained 60 minutes, constant k (0.9194 min-1) observed. This suggests that Azardirachta extract-derived green-synthesized have potential uses photocatalysis. Furthermore, MTT assay method against human renal adenocarcinoma cancer cells, NPs showed strong anticancer activity, 5 mg/mL as lowest IC50 value. novel green has demonstrated nanoparticle synthesis is very successful cost-effective pollutant adsorption technique for treating wastewater.

Язык: Английский

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Advancing photocatalytic strategies for microplastic degradation in aquatic systems: Insights into key challenges and future pathways

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 115594 - 115594

Опубликована: Янв. 1, 2025

Язык: Английский

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Introduction to Predictive Maintenance Application using Machine Learning: The Case of the Injection System of a Diesel Engine

Engineering Technology & Applied Science Research, Год журнала: 2025, Номер 15(1), С. 20108 - 20117

Опубликована: Фев. 2, 2025

Diesel engines are crucially important in various fields, particularly the automotive sector, as they ensure a reliable supply of mechanical energy. However, injection system failures, which among most recurrent can lead to performance deterioration and increased pollutant emissions maintenance costs. Therefore, adopting an effective strategy analyze predict such failures would significantly improve efficiency these engines. Based on collected data from by sensors, application predictive coupled with machine learning model allows prediction for optimal appropriate maintenance. This study presents approach diagnosing diesel using test bench based temperature sensors installed engine cylinders. These exhibit unusual variations event failure. The Random Forest (RF) algorithm was employed establish clear relationship between cylinder temperatures proposed detect associated system. Performance evaluation, after parameter tuning, underscores model's efficacy, achieving accuracy exceeding 97%.

Язык: Английский

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Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review

Next Materials, Год журнала: 2025, Номер 8, С. 100522 - 100522

Опубликована: Фев. 10, 2025

Язык: Английский

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Resource utilization of tea waste in biochar and other areas: Current status, challenges and future prospects

Journal of Environmental Management, Год журнала: 2025, Номер 377, С. 124569 - 124569

Опубликована: Фев. 20, 2025

Язык: Английский

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Leveraging Artificial Intelligence Models (GBR, SVR, and GA) for Efficient Chromium Reduction via UV/Trichlorophenol/Sulfite Reaction

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104599 - 104599

Опубликована: Март 1, 2025

Язык: Английский

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Ti3C2Tx MXene-Based Hybrid Photocatalysts in Organic Dye Degradation: A Review

Molecules, Год журнала: 2025, Номер 30(7), С. 1463 - 1463

Опубликована: Март 26, 2025

This review provides an overview of the fabrication methods for Ti3C2Tx MXene-based hybrid photocatalysts and evaluates their role in degrading organic dye pollutants. MXene has emerged as a promising material due to its high metallic conductivity, excellent hydrophilicity, strong molecular adsorption, efficient charge transfer. These properties facilitate faster separation minimize electron–hole recombination, leading exceptional photodegradation performance, long-term stability, significant attention degradation applications. significantly improve efficiency, evidenced by higher percentage reduced time compared conventional semiconducting materials. also highlights computational techniques employed assess enhance performance degradation. It identifies challenges associated with photocatalyst research proposes potential solutions, outlining future directions address these obstacles effectively.

Язык: Английский

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