scholarly journals Cobalt removal from an industrial effluent by foam fractionation

2021 ◽  
pp. 100135
Author(s):  
Shohre Tabibi ◽  
Mohsen Moussavi ◽  
Hadi Adlo
Keyword(s):  
Industrial Effluent ◽  
Foam Fractionation ◽  
Cobalt Removal

Revision of Industrial Effluent Regulations in Israel

1993 ◽  
Vol 27 (7-8) ◽  
pp. 71-78 ◽  
Author(s):  
B. Weber ◽  
G. Schneider
Keyword(s):  
Central Government ◽  
Clean Water Act ◽  
Industrial Effluent ◽  
Hazardous Materials ◽  
Clean Water ◽  
Legal Situation ◽  
Per Se ◽  
The U.S

Industrial effluent regulations in Israel can be promulgated pursuant to four statutory sources. No clear boundaries delineating the scope of these laws exist, and some of them are neither environmental nor water laws per se. The resulting legal situation is one of confusion, duality and even contradiction both institutionally and substantively. A revision in the Israeli approach towards the regulation of industrial effluent is proposed, taking into consideration some elements of the U.S. Clean Water Act. Ideas are presented for setting up jurisdictional boundaries between the local and central government authorities to differentiate between organic loads and hazardous materials. In addition, the paper calls for criteria and discretionary limits on the setting up of permit conditions and enactment of regulations as well as the need for improvement of existing effluent criteria.

Biogenic synthesis of copper nanoparticles from rose (Rosa indica L.) and their applications in photocatalytic degradation of Malachite Green and Carbol Fuchsin dyes

2020 ◽  
Vol 10 ◽  
Author(s):  
Manmeet Kaur ◽  
Suman Prajapati ◽  
Samneek Cholia ◽  
Jaskeet Singh Mann ◽  
Gurpreet Singh
Keyword(s):  
Photocatalytic Degradation ◽  
Malachite Green ◽  
Copper Nanoparticles ◽  
Dye Degradation ◽  
Industrial Effluent ◽  
Copper Nanoparticle ◽  
Synthesis Of Nanoparticles ◽  
Carbol Fuchsin ◽  
Double Beam ◽  
The Rose

Background: In the recent years, the green synthesis of nanoparticles has taken a lead role over the conventional chemical and physical approach due to its non-toxic, cost effective parameters and has found its place in various applications. Objectives: The major objectives of this study was to synthesise and characterize the copper nanoparticles using the rose extract at different set of conditions and analyse these nanoparticles as a source of dye degradation agent under sunlight conditions. Methods: Present study was conducted with the aim to synthesis the copper nanoparticle using the rose petal extract. The components present the in the extract act as the reduction and stabilization agents for the synthesis of CuNPs. The synthesized nanoparticles were characterized by using UV-VIS, FTIR, XRD and SEM analysis. Photocatalytic degradation of two dyes (Malachite Green and Carbol fuchsin) was analysed using double beam spectroscopic analysis Results: UV-Vis analysis indicated the presence of a peak at around 630 nm. The FT-IR analysis indicated the involvement of various biomolecules during the synthesis of nanoparticles. The structure and the conformation was elucidated using XRD and SEM showed the agglomerated form of the synthesized nanoparticles with the size range of about 60-90 nm. The synthesised copper nanoparticles was used for degradation of malachite green and carbol fuchsin dye using photocatalytic under sunlight irradiation. UV-Vis spectral analysis indicated that synthesised copper nanoparticle act more effective in degradation of malachite green (around 95%) whereas carbol fuchsin showed a maximum degradation by 52% therefore suggesting that CuNPs act as an efficient photo catalyst in dye degradation. Conclusion: The results obtained from this study indicates that rose extract has the potential of synthesis of copper nanoparticles which is non-toxic and convenient approach as compared to physical and chemical synthesis. These nanoparticles can be effectively employed as dye decolourization agents to treat industrial effluent and prevent the environmental pollution.

scholarly journals Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network

2021 ◽  
Vol 14 ◽  
pp. 117862212110281
Author(s):  
Ahmed S. Mahmoud ◽  
Nouran Y. Mohamed ◽  
Mohamed K. Mostafa ◽  
Mohamed S. Mahmoud
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Tannery Wastewater ◽  
P Value ◽  
Cu Nanoparticles ◽  
Artificial Neural ◽  
Cr Removal

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for chrome removal. In the beginning, the Fe/Cu NPs was equilibrated by pure aqueous chrome solution at different operating conditions (lab scale), then the nanomaterial was applied in semi full scale. The operating conditions indicated that Fe/Cu NPs was able to adsorb 68% and 33% of Cr for initial concentrations of 1 and 9 mg/L, respectively. The removal occurred at pH 3 using 0.6 g/L Fe/Cu dose, stirring rate 200 r/min, contact time 20 min, and constant temperature 20 ± 2ºC. Adsorption isotherm proved that the Khan model is the most appropriate model for Cr removal using Fe/Cu NPs with the minimum error sum of 0.199. According to khan, the maximum uptakes was 20.5 mg/g Cr. Kinetic results proved that Pseudo Second Order mechanism with the least possible error of 0.098 indicated that the adsorption mechanism is chemisorption. Response surface methodology (RSM) equation was developed with a significant p-value = 0 to label the relations between Cr removal and different experimental parameters. Artificial neural networks (ANNs) were performed with a structure of 5-4-1 and the achieved results indicated that the effect of the dose is the most dominated variable for Cr removal. Application of Fe/Cu NPs in real tannery wastewater showed its ability to degrade and disinfect organic and biological contaminants in addition to chrome adsorption. The reduction in chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), Cr, hydrogen sulfide (H2S), and oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, and 29.4%, respectively.

Random Packing Performance in Continuous Foam Fractionation

2021 ◽  
Author(s):  
Qianfeng Gu ◽  
Xiaochen Xue ◽  
Osama M. Darwesh ◽  
Pascal Habimana ◽  
Wei Liu ◽  
...  
Keyword(s):  
Random Packing ◽  
Foam Fractionation

Improvement of nisin production by using the integration strategy of co-cultivation fermentation, foam fractionation and pervaporation

LWT ◽  
2021 ◽  
Vol 142 ◽  
pp. 111093
Author(s):  
Wei Liu ◽  
Jingping Zhou ◽  
Fangdai Tan ◽  
Hao Yin ◽  
Chunyan Yang ◽  
...  
Keyword(s):  
Foam Fractionation ◽  
Nisin Production ◽  
Integration Strategy

scholarly journals Constrained Parameter Estimation for a Mechanistic Kinetic Model of Cobalt–Hydrogen Electrochemical Competition during a Cobalt Removal Process

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 387
Author(s):  
Yiting Liang ◽  
Yuanhua Zhang ◽  
Yonggang Li
Keyword(s):  
Parameter Estimation ◽  
Kinetic Model ◽  
Model Parameters ◽  
Hydrogen Ions ◽  
Removal Process ◽  
Cobalt Removal ◽  
Estimation Scheme ◽  
Zinc Hydrometallurgy ◽  
The Impact ◽  
Parameter Estimation Scheme

A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and the lack of information on the possible value ranges of parameters to be estimated, a constrained guided parameter estimation scheme was derived based on model equations and experimental data. The proposed model and the parameter estimation scheme have two advantages: (i) The model reflected for the first time the mechanism of the electrochemical competition between cobalt and hydrogen ions in the process of cobalt removal in zinc hydrometallurgy; (ii) The proposed constrained parameter estimation scheme did not depend on the information of the possible value ranges of parameters to be estimated; (iii) the constraint conditions provided in that scheme directly linked the experimental phenomenon metrics to the model parameters thereby providing deeper insights into the model parameters for model users. Numerical experiments showed that the proposed constrained parameter estimation algorithm significantly improved the estimation efficiency. Meanwhile, the proposed cobalt–hydrogen electrochemical competition model allowed for accurate simulation of the impact of hydrogen ions on cobalt removal rate as well as simulation of the trend of hydrogen ion concentration, which would be helpful for the actual cobalt removal process in zinc hydrometallurgy.

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