Design of Lignin-Based TiO2 Composite for Enhanced Photocatalytic Activity and its Applications DOI Creative Commons

Sirirat Thammasang,

Supranee Phanthanawiboon,

Somnuk Theerakulpisut

et al.

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: unknown, P. 103928 - 103928

Published: Nov. 1, 2024

Language: Английский

A novel strategy utilizing wool waste to prepare carbonized porous C/N/O co-doped TiO2 composites for enhancing adsorption and photocatalytic degradation of organic pollutants DOI

Jiale Yao,

Hui Zhang,

Xiangtao Xuan

et al.

Textile Research Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

The extensive production of waste wool in the textile industry poses significant environmental challenges. To address this issue, we present a novel recycling approach that transforms into carbonized, porous, and C/N/O co-doped TiO 2 composite material. This was achieved through simple one-step hydrothermal synthesis followed by calcination either nitrogen or an air atmosphere. innovative method not only repurposes but also creates material with impressive adsorption photocatalytic properties, offering new solution for remediation. process effectively dispersed nanoparticles, increasing number active sites. When calcined atmosphere, graphitization biochar enhanced, doping achieved, oxygen vacancies were created, all which significantly improved performance. resulting exhibited capacity methylene blue dye 13.8 times higher than untreated sample, 9.9 sample air. Furthermore, retained 99% its original after second cycle, indicating strong potential. Photocatalytic performance tests showed marked improvement degradation efficiency blue, Congo red, tetracycline hydrochloride under simulated solar irradiation. primary species involved singlet ( 1 O ) photogenerated holes (h + ), while superoxide radicals ([Formula: see text]) hydroxyl (‧OH) contributed to photodegradation blue. use as catalyst support extends practical applications helps reduce impact organic pollutants.

Language: Английский

Citations

1
Exploring and understanding the microwave-assisted pyrolysis of waste lignocellulose biomass using gradient boosting regression machine learning model DOI
Shruti Sinha, Chinta Sankar Rao,

Abhishankar Kumar

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 231, P. 120968 - 120968

Published: July 15, 2024

Language: Английский

Citations

7
Transformative strategies in photocatalyst design: merging computational methods and deep learning DOI Open Access
Jianqiao Liu, Liqian Liang, Baofeng Su

et al.

Journal of Materials Informatics, Journal Year: 2024, Volume and Issue: 4(4)

Published: Dec. 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.

Language: Английский

Citations

7
Stacked machine learning approach for predicting evolved hydrogen from sugar industry wastewater DOI

Rezan Bakır,

Ceren Orak

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 85, P. 75 - 87

Published: Aug. 24, 2024

Language: Английский

Citations

5
Research progress of machine learning in the field of photocatalysis applications DOI
Kun Li, Haoyuan Du, Lei Liu

et al.

Journal of Industrial and Engineering Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
The Development of a New Bi₁2ZnO20/AgI Heterosystem for the Degradation of Dye-Contaminated Water by Photocatalysis Under Solar Irradiation: Synthesis, Characterization and Kinetics DOI Open Access
Serine Madji, Mohamed Belmedani,

Elhadj Mekatel

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1342 - 1342

Published: April 27, 2025

This study explores the efficiency of heterogeneous photocatalysis in wastewater treatment, which is recognized for inducing significant rates degradation and mineralization various contaminants, including dyes. The focuses on development an innovative composite via a combination sillenite type semiconductor Bi12ZnO20 halide-type AgI. Both semiconductors were synthesized co-precipitation, their phases identified using X-ray diffraction characterized by scanning electron microscopy, Raman spectroscopy, Brunauer–Emmett–Teller analysis specific surface area, UV–Visible diffuse reflectance point zero charge. evaluation photocatalytic activity Bi12ZnO20/AgI heterosystem was carried out monitoring process Basic Blue 41 (BB41) under solar irradiation conditions. results this revealed that achieved efficient BB41, with removal rate 98% after 150 min treatment. showed TOC value decreased from 19.89 mg L−1 to 6.87 L−1, indicating portion BB41 mineralized. Via kinetic research, it established followed pseudo-first-order mechanism. Furthermore, recycling tests heterostructures maintained good structural stability acceptable reusability over several cycles. These findings highlight potential as promising approach addressing environmental challenges associated azo

Language: Английский

Citations

0
Machine learning enabled catalytic wet peroxidation of levofloxacin bearing wastewater using Cu/MCM-41 DOI

Gayatri Rajput,

Vijayalakshmi Gosu, Vikas Kumar Sangal

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121413 - 121413

Published: Feb. 1, 2025

Language: Английский

Citations

0
Feature-Driven Ensemble Machine Learning Prediction of Photocatalytic Discoloration of Dyes DOI

SHUBHAM MAKWANA,

Leena V. Bora,

Nisha V. Bora

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation DOI
Hassan Ali, Muhammad Yasir,

Hamza Ul Haq

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 386, P. 125683 - 125683

Published: May 14, 2025

Language: Английский

Citations

0
Integrating Experimental and Machine Learning Approaches for Predictive Analysis of Photocatalytic Hydrogen Evolution Using Cu/g-C3N4 DOI
Bahriyenur Arabacı, Rezan Bakır, Ceren Orak

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121737 - 121737

Published: Oct. 1, 2024

Language: Английский

Citations

3