Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways

Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways

Abstract This paper assesses the presentation of Gradient Boosting Regression (GBR), Ridge Regression (RR), and Particle Swarm Optimization (PSO) models in improving the photocatalytic destruction of antibiotic utilizing a UV/ZrO₂/NaOCl system. The GBR model indicated the strength of exhibited preci...

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Bibliographic Details
Main Authors: Amir Sheikhmohammadi, Saeed Hosseinpour, Zahra Jalilzadeh, Hossein Azarpira, Mahmood Yousefi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Photocatalytic degradation
Tetracycline removal
UV/ZrO₂/NaOCl optimization
Artificial intelligence models
Reaction pathway enhancement
Online Access:https://doi.org/10.1038/s41598-025-03814-x
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https://doi.org/10.1038/s41598-025-03814-x

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