A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption

Salari, Mehdi; Alahabadi, Ahmad; Rahmani-Sani, Abolfazl; Miri, Mohammad; Yazdani-Aval, Mohsen; Lotfi, Hadi; Saghi, Mohammad Hossien; Rastegar, Ayoob; Sepehr, Mohammad Noori; Darvishmotevalli, Mohammad

doi:10.1016/j.chemosphere.2023.140832

Chemosphere

2024

DOI: 10.1016/j.chemosphere.2023.140832

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A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption

Mehdi Salari,

Ahmad Alahabadi,

Abolfazl Rahmani-Sani

et al.

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2024

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Cited by 3 publications

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Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

Mukherjee,

Gupta,

Bhatnagar

2024

ChemistrySelect

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The risks that dyes, drugs, and pathogenic bacterial strains bring to ecosystems and public health when they contaminate water bodies, emphasize the need for adaptable materials that can efficiently treat a wide range of contaminants. In the current investigation, α‐Fe2O3 nanoparticles were fabricated via green synthesis and utilized to degrade dextromethorphan and dyes. The α‐Fe2O3 nanoparticles were initially characterized through visual assessment of color and subsequently analyzed using UV spectroscopy, FTIR, SEM/EDS, and XRD. The TGA curve for α‐Fe₂O₃ nanoparticles shows a multi‐step weight loss pattern as temperature increases from room temperature to 700 °C. The first weight loss occurs between 50 °C and 200 °C, followed by 9% between 200 °C and 350 °C, 3% between 350 °C and 500 °C, and 5% between 500 °C and 700 °C. The photocatalytic degradation efficiency of synthesized α‐Fe2O3 nanoparticles was investigated for the degradation of dextromethorphan and two dyes, phenol red, and eosin yellow. The α‐Fe2O3 nanoparticles exhibited exceptional photocatalytic performance, achieving approximately 99% degradation of dextromethorphan and 98% and 90% degradation of phenol red, and eosin yellow respectively within 120 min. In addition, α‐Fe2O3 nanoparticles exhibited promising antibacterial activity against both gram‐negative and gram‐positive pathogenic bacteria which describes their application against resistant organisms.

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Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

Mukherjee,

Gupta,

Bhatnagar

2024

ChemistrySelect

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A machine learning-guided design and manufacturing of wearable nanofibrous acoustic energy harvesters

Kouchehbaghi,

Yousefzadeh,

Gharehaghaji

et al. 2024

Nano Res.

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Optimizing aerobic granular sludge process performance: Unveiling the power of coupling experimental factorial design methodology with artificial intelligence modeling

Abdalla,

Tahan,

Abdallah

et al. 2024

Journal of Water Process Engineering

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A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption

Cited by 3 publications

References 53 publications

Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

A machine learning-guided design and manufacturing of wearable nanofibrous acoustic energy harvesters

Optimizing aerobic granular sludge process performance: Unveiling the power of coupling experimental factorial design methodology with artificial intelligence modeling

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A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption

Cited by 3 publications

References 53 publications

Plant‐Mediated Green Synthesis of α‐Fe2O3 Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

Plant‐Mediated Green Synthesis of α‐Fe2O3 Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

A machine learning-guided design and manufacturing of wearable nanofibrous acoustic energy harvesters

Optimizing aerobic granular sludge process performance: Unveiling the power of coupling experimental factorial design methodology with artificial intelligence modeling

Contact Info

Product

Resources

About

Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment

Plant‐Mediated Green Synthesis of α‐Fe₂O₃ Nanoparticles from Chrysanthemum indicum Flower Extract: Applications in Photolytic Dextromethorphan Degradation, Dye Removal, and Antibacterial Activity Assessment