4.6 Article

Statistical Modeling and Optimization of Process Parameters for 2,4-Dichlorophenoxyacetic Acid Removal by Using AC/PDMAEMA Hydrogel Adsorbent: Comparison of Different RSM Designs and ANN Training Methods

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Unusual Catalytic Effect of Fe3+ on 2,4-dichlorophenoxyacetic Acid Degradation by Radio Frequency Discharge in Aqueous Solution

Yongjun Liu et al.

Summary: This study investigated the liquid-phase degradation of 2,4-dichlorophenoxyacetic acid (2,4-D) induced by radio frequency discharge (RFD). The degradation was found to be more effective in acidic solutions. Additionally, the catalytic effects of ferric and ferrous ions on the degradation were examined, and it was observed that ferric ions accelerated the degradation rate and increased the amount of hydroxyl radicals produced.
Article Chemistry, Multidisciplinary

Removal of 2,4-dichlorophenoxyacetic acid from aqueous samples using electrospun polyacrylonitrile nanofiber-based supported liquid membrane transport

Malihe Mir et al.

Summary: A simple supported liquid membrane transport strategy was applied to remove 2,4-D from water samples in this study, using electrospun polyacrylonitrile nanofiber-based sheet as new support material. The optimal working parameters were identified for enhancing efficiency and rate of 2,4-D removal through the nano-based SLM method.

JOURNAL OF THE IRANIAN CHEMICAL SOCIETY (2021)

Article Chemistry, Applied

Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions

Jin-Kyu Kang et al.

Summary: The study showed the effectiveness of quaternary ammonium-functionalized mesoporous silica SBA-15 (q-SBA-15) in removing the non-steroidal anti-inflammatory drug Diclofenac (DCF) from aqueous solutions. By using multi-parameter experiments and modeling methods, optimal treatment conditions were determined for DCF removal.

MICROPOROUS AND MESOPOROUS MATERIALS (2021)

Article Chemistry, Multidisciplinary

Determination of the Optimal Neural Network Transfer Function for Response Surface Methodology and Robust Design

Tuan-Ho Le et al.

Summary: A new method for estimating response functions based on neural networks was proposed in this study, using maximum likelihood estimation to obtain the functional forms of process mean and standard deviation. The method introduced a new screening procedure to determine the best transfer function, resulting in significantly better results compared to conventional methods.

APPLIED SCIENCES-BASEL (2021)

Review Environmental Sciences

Hydrogel applications for adsorption of contaminants in water and wastewater treatment

Vinh Van Tran et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2018)

Proceedings Paper Mathematics, Applied

Artificial Neural Network Intelligent Method for Prediction

Roumen Trifonov et al.

MATHEMATICAL METHODS & COMPUTATIONAL TECHNIQUES IN SCIENCE & ENGINEERING (2017)

Review Multidisciplinary Sciences

Hydrogel: Preparation, characterization, and applications: A review

Enas M. Ahmed

JOURNAL OF ADVANCED RESEARCH (2015)

Review Engineering, Environmental

The use of response surface methodology for modelling and analysis of water and wastewater treatment processes: a review

Abhilash T. Nair et al.

WATER SCIENCE AND TECHNOLOGY (2014)

Article Public, Environmental & Occupational Health

Removal of 2, 4-Dichlorophenoxyacetic Acid (2, 4-D) From Aqueous Environments Using Single-Walled Carbon Nanotubes

Edris Bazrafshan et al.

HEALTH SCOPE (2013)

Article Engineering, Environmental

Adsorptive removal of direct textile dyes by low cost agricultural waste: Application of factorial design analysis

Yusra Safa et al.

CHEMICAL ENGINEERING JOURNAL (2011)