Chemical coagulation-electro fenton as a superior combination process for treatment of dairy wastewater: performance and modelling

Zakeri, Hamid Reza; Yousefi, Mahmood; Mohammadi, Ali Akbar; Baziar, Mansour; Mojiri, Samane Abd; Salehnia, Salehe; Hosseinzadeh, Ahmad

doi:10.1007/s13762-021-03149-w

Cited by 28 publications

(12 citation statements)

References 47 publications

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“…Coagulants play a vital role in the flocculation and coagulation process with floc formation and the EF process performed by hydroxy radicals which considered as highly reactive free radicals involved in the decompose of organic compounds in the -1 wastewater. The optimised process with 100 mg l of PAC, 60 min -1 of contact time, 20 V of voltage, 2 m of electrode distance, 1.5 g l of H O and pH3 was showed effective reduction of TSS, BOD 2 2 and COD as 87, 87.25 and 90.3 % respectively (Zakeri et al, 2021). The present study confirmed that, γ-PGA is an effective coagulant with reduction of physico-chemical parameters which is observed to have a varying range of process parameters according to its coagulating nature.…”

Section: Screening Of Optimal Wavelength By Uv-visible Spectral Analysismentioning

confidence: 95%

Kinetic modelling and process optimization of textile effluent treatment with bacterial gamma polyglutamic acid

Mohanraj¹,

Gnanamangai²,

Ramesh³

et al. 2023

JEB

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Aim: The present study aims to synthesize gamma poly glutamic acid from the optimized starch-based glutamate-dependent medium for wastewater treatment with kinetic studies for an effective decolorization process. Methodology: Microbial coagulant (γ-PGA) was synthesized from the optimized glutamate-dependent medium with sago as a substrate and Bacillus subtilis as fermenter. Synthesized γ-PGA was harvested by ethanol precipitation and lyophilization method. The presence of γ-PGA was determined by UV-visible spectrum and ninhydrin analysis and its flocculating activity was screened by ninhydrin assay. Harvested γ-PGA was treated with different types of wastewater samples (Textile, tannery, dairy and sewage) in the preliminary screening. Process optimization was performed to screen the maximal decolorization for textile effluent (light and dark color). The physical and chemical characterization of treated wastewater samples with kinetic studies was performed to improve the treatment process. Results: The synthesized γ-PGA weighed as 41.20 g l-1 from the fermented medium and its presence was confirmed by characterization techniques. The flocculating activity of synthesized γ-PGA was 40.56 and 58.78 % against the kaolin suspension. The maximal decolorization percentage was 59.58% for γ- PGA treatment against textile effluent. The significance of optimized parameters such as pH, temperature, rotation speed and contact time were determined in the treatment of textile effluents (light and dark color) with maximal reduction of solids profile COD and BOD concentration. Kinetic studies revealed that the isotherm Langmuir isotherm was fit for the experimental data with R2 as 0.9943, 0.9692 and Pseudo second order fitted with R2 as 0.9871 and 0.9594 respective to light and dark color effluent. Interpretation: This study confirmed the maximal yield of γ-PGA from a sago-based glutamate-dependent medium and revealed its effective flocculating and decolorization activity against textile effluent which suggest them as a better alternative coagulants. Key words: γ- PGA, Bacillus subtilis, Kinetic modelling, Process optimization

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Section: Screening Of Optimal Wavelength By Uv-visible Spectral Analysismentioning

confidence: 95%

Kinetic modelling and process optimization of textile effluent treatment with bacterial gamma polyglutamic acid

Mohanraj¹,

Gnanamangai²,

Ramesh³

et al. 2023

JEB

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“…The mass transformation of Fe 3+ to the surface of cathode was limited by longer distances between electrodes (Thor et al, 2022 ), and therefore hinders the regeneration catalyst and electro-Fenton efficacy. An increase in the distance of electrodes gives a substantial increase in energy costs (Zakeri et al, 2021 ).…”

Section: Influential Parameters On Heterogeneous Electro-fentonmentioning

confidence: 99%

Challenges and Future Roadmaps in Heterogeneous Electro-Fenton Process for Wastewater Treatment

Shokri

Nasernejad

Fard

2023

Water Air Soil Pollut

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“…According to the results for the Fenton process, a model with a topology of 5-7-1 was the best model. The prediction of the ANN model for formaldehyde removal efficiency by the Fenton process was obtained from Equation (13). The predicted proportions of the formaldehyde removal vs. the experimental ones are depicted by Figure 3, showing the R proportions of the developed models in the training (0.9952), validation (0.9359) and test (0.9592) phases.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

“…Göde et al [11] indicated that Fenton and Fenton-like processes can successfully treat landfill leachate. In addition, different investigations in photo-Fenton, photocatalysis and ozonation revealed the potentials of such processes in the successful elimination of recalcitrant compounds [12][13][14]. However, it has been reported that some recalcitrant compounds cannot be sufficiently decomposed with a single oxidant, and more and faster decompositions of the recalcitrant compounds have been reported with combined AOPs due to the simultaneous applications of various oxidants [15].…”

Section: Introductionmentioning

confidence: 99%

Improving Formaldehyde Removal from Water and Wastewater by Fenton, Photo-Fenton and Ozonation/Fenton Processes through Optimization and Modeling

Hosseinzadeh

Najafpoor

Navaei

et al. 2021

Water

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This study aimed to assess, optimize and model the efficiencies of Fenton, photo-Fenton and ozonation/Fenton processes in formaldehyde elimination from water and wastewater using the response surface methodology (RSM) and artificial neural network (ANN). A sensitivity analysis was used to determine the importance of the independent variables. The influences of different variables, including H2O2 concentration, initial formaldehyde concentration, Fe dosage, pH, contact time, UV and ozonation, on formaldehyde removal efficiency were studied. The optimized Fenton process demonstrated 75% formaldehyde removal from water. The best performance with 80% formaldehyde removal from wastewater was achieved using the combined ozonation/Fenton process. The developed ANN model demonstrated better adequacy and goodness of fit with a R2 of 0.9454 than the RSM model with a R2 of 0. 9186. The sensitivity analysis showed pH as the most important factor (31%) affecting the Fenton process, followed by the H2O2 concentration (23%), Fe dosage (21%), contact time (14%) and formaldehyde concentration (12%). The findings demonstrated that these treatment processes and models are important tools for formaldehyde elimination from wastewater.

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Chemical coagulation-electro fenton as a superior combination process for treatment of dairy wastewater: performance and modelling

Cited by 28 publications

References 47 publications

Kinetic modelling and process optimization of textile effluent treatment with bacterial gamma polyglutamic acid

Kinetic modelling and process optimization of textile effluent treatment with bacterial gamma polyglutamic acid

Challenges and Future Roadmaps in Heterogeneous Electro-Fenton Process for Wastewater Treatment

Improving Formaldehyde Removal from Water and Wastewater by Fenton, Photo-Fenton and Ozonation/Fenton Processes through Optimization and Modeling

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