Advanced Ciprofloxacin Quantification: A Machine Learning and Metaheuristic Approach Using Ultrasensitive Chitosan-Gold Nanoparticle Based Electrochemical Sensor DOI
Yunus Ahmed, Tahmina Akter,

Meherunnesa Prima

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 115094 - 115094

Published: Dec. 1, 2024

Language: Английский

Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes DOI
Md. Arif Hossen, Md Munirul Hasan, Yunus Ahmed

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 327, P. 119544 - 119544

Published: Jan. 24, 2025

Language: Английский

Citations

2
A novel interpretable machine learning and metaheuristic-based protocol to predict and optimize ciprofloxacin antibiotic adsorption with nano-adsorbent DOI
Yunus Ahmed,

Akser Alam Siddiqua Maya,

Parul Akhtar

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122614 - 122614

Published: Oct. 8, 2024

Language: Английский

Citations

12
Optimizing Photocatalytic Dye Degradation: A Machine Learning and Metaheuristic Approach for Predicting Methylene Blue in Contaminated Water DOI Creative Commons
Yunus Ahmed, Krishna Dutta,

Sharmin Nahar Chowdhury Nepu

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103538 - 103538

Published: Dec. 1, 2024

Language: Английский

Citations

11
Emerging strategies in the sustainable removal of antibiotics using semiconductor-based photocatalysts DOI Creative Commons
Yunus Ahmed, Krishna Dutta, Parul Akhtar

et al.

Beilstein Journal of Nanotechnology, Journal Year: 2025, Volume and Issue: 16, P. 264 - 285

Published: Feb. 25, 2025

In the constantly growing field of environmental sustainability, threat newly discovered pollutants, particularly antibiotics, has become a crucial concern. The widespread presence these pharmaceutical substances in water sources presents complex hazard to human health and ecological balance, requiring immediate novel intervention techniques. Regarding this, semiconductor-based photocatalysts have appeared as promising candidates, providing sustainable efficient way remove antibiotics from aquatic ecosystems. Nanomaterials can effectively precisely break down neutralize antibiotic compounds with high efficiency selectivity by utilizing interaction between radical reactive oxygen species non-radical equivalents under light irradiation. Although certain drawbacks, such limited capacity absorb concerns about catalytic stability, photocatalysis outperforms other advanced oxidation processes multiple aspects. This study focuses on summarizing recent advances removal using photocatalysts. By reviewing latest studies technologies, this new insights into relationship contaminants degradation processes. Compared single binary photocatalysts, modified ternary composites were found superior photodegradation performance visible exposure. To be specific g-C3N4-based exhibited more than 90% tetracycline sulfamethazine within one hour addresses during photocatalytic suggests approaches improve scalability for wider use real-world situations.

Language: Английский

Citations

1
Advancements and Challenges in Fenton-Based Advanced Oxidation Processes for Antibiotic Removal in Wastewater: From the Laboratory to Practical Applications DOI Creative Commons
Yunus Ahmed,

Akser Alam Siddiqua Maya,

Parul Akhtar

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 115068 - 115068

Published: Dec. 1, 2024

Language: Английский

Citations

4
Enhancing hydrological time series forecasting with a hybrid Bayesian-ConvLSTM model optimized by particle swarm optimization DOI Creative Commons
Hüseyin Çağan Kılınç,

Sina Apak,

Mahmut Esad Ergin

et al.

Acta Geophysica, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Language: Английский

Citations

0
Magnetically Modified Bentonite for Optimized Erythromycin Removal via RSM and DFT Analysis DOI Creative Commons
Ying‐Chieh Hung, Yuqi Wu,

Ru-Hau Ye

et al.

Molecules, Journal Year: 2025, Volume and Issue: 30(8), P. 1792 - 1792

Published: April 16, 2025

Erythromycin (ERY), an antibiotic widely used in human and veterinary medicine, persists the environment due to its low degradability, accumulating wastewater soil. This study presents a novel adsorbent synthesized by magnetically modifying calcined natural bentonite with Fe3O4 nanoparticles enhance ERY removal. The modification increased surface area, highest adsorption observed at pH 11. Adsorption studies revealed that Dubinin–Radushkevich isotherm model pseudo-first-order kinetic best described behavior. Response methodology (RSM) was employed optimize key parameters, including dosage, temperature, contact time. quadratic indicated optimal conditions of 41.9 mg adsorbent, 29.1 °C, 9.6 h time, yielding maximum removal efficiency 96.2%. Density functional theory (DFT) analysis provided molecular-level understanding mechanism, identifying strong interactions between ERY, Fe3O4, bentonite. theoretical binding energy aligns experimental results, confirming role magnetic promoting adsorption. demonstrates promising approach for mitigating contamination aqueous environments.

Language: Английский

Citations

0
Advanced Ciprofloxacin Quantification: A Machine Learning and Metaheuristic Approach Using Ultrasensitive Chitosan-Gold Nanoparticle Based Electrochemical Sensor DOI
Yunus Ahmed, Tahmina Akter,

Meherunnesa Prima

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 115094 - 115094

Published: Dec. 1, 2024

Language: Английский

Citations

2