14 results on '"Enas E. Hussein"'
Search Results
2. Plant-assisted synthesis of gold nanoparticles for photocatalytic, anticancer, and antioxidant applications
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Mohamed Hosny, Manal Fawzy, Yaser A. El-Badry, Enas E. Hussein, and Abdelazeem S. Eltaweil
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Tecoma capensis ,Gold nanoparticles ,Malachite green ,MCF7 ,DPPH ,Chemistry ,QD1-999 - Abstract
The current study is the first to disclose a quick, cost-effective, and environmentally safe phytofabrication of gold nanoparticles (AuNPs) that remained stable for three months utilizing the aqueous extract of T. capensis leaves to uphold the principles of green chemistry such as less hazardous chemical syntheses, safer solvents and auxiliaries, design for energy efficiency, and use of renewable feedstocks. Several approaches were used to describe T. capensis-AuNPs, with the findings revealing the successful phytoformation of crystalline AuNPs with a dark brown color, spherical nanoparticles with a size range of 10–35 nm, a surface plasmon peak at 515 nm, and a surface charge of − 24.5 mV. T. capensis-AuNPs showed 72% photodegradation efficacy against malachite green. The MTT experiment revealed that T. capensis-AuNPs and T. capensis extract had excellent potency in preventing the development and proliferation of human breast cancer cells (MCF7 cell line), with IC50 values of 9.6 g/mL and 23.3 g/mL, respectively. Both T. capensis-AuNPs and T. capensis extract had significant antioxidant efficacies, with DPPH scavenging percentages of 70.73% for T. capensis-AuNPs and 85.62% for T. capensis extract. Consequently, these findings suggest a new and sustainable route for the green synthesis of AuNPs using the aqueous extract of T. capensis.
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- 2022
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3. Design of plasticized proton conducting Chitosan:Dextran based biopolymer blend electrolytes for EDLC application: Structural, impedance and electrochemical studies
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Jihad M. Hadi, Shujahadeen B. Aziz, M.F.Z. Kadir, Yaser A. El-Badry, Tansir Ahamad, Enas E. Hussein, Ahmad S.F.M. Asnawi, Ranjdar M. Abdullah, and Saad M. Alshehri
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Biopolymer ,Blending ,FTIR ,Impedance ,Transport properties ,Electrochemical studies ,Chemistry ,QD1-999 - Abstract
In this work, for the use of an electrical double-layer capacitor (EDLC) device applications, the fabrication and characterization of solid polymer electrolytes (SPEs) based on chitosan-dextran (CS-DN) blended polymer doped and plasticized with ammonium thiocyanate (NH4SCN) and glycerol are studied, respectively. The Fourier transform infrared (FTIR) spectroscopy method has been used to investigate the structural behavior of electrolytes. It was observed that the FTIR bands are shifted and decreased in their intensities with the increased glycerol plasticizer content and it results in the complex formation. According to the electrical impedance spectra (EIS), the electrolyte incorporated with high contents of plasticizer (42 wt%) revealed the highest ionic conductivity of (3.08 × 10−4 S/cm). The electrical equivalent circuits (EEC) were used to investigate the circuit elements of the electrolytes further. Increasing glycerol plasticizers verified an improvement in ions density number (n), mobility (μ), and diffusion coefficient (D). The transference number measurements (TNM) indicated that the predominant charge carriers in the conduction process are ions where the (tion) is 0.95. According to the linear sweep voltammetry (LSV) study, the uppermost conducting sample was found to have sufficient anode stability with a breakdown voltage of 1.9 V that can be used in electrochemical devices. The absence of peaks in the cyclic voltammetry (CV) demonstrated that the charge storage mechanism within the constructed EDLC is fully capacitive. Based on this finding, the starting specific capacitance (Cs), energy density (Ed), and power density (Pd) have been identified to be 118F/g, 13.2 Wh/kg, and 1560 W/kg, respectively. Throughout its 100 cycles, the equivalence series resistance ESR value was between 53 and 117 Ω.
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- 2021
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4. Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model
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Yufeng Qian, Mahdi Aghaabbasi, Mujahid Ali, Muwaffaq Alqurashi, Bashir Salah, Rosilawati Zainol, Mehdi Moeinaddini, and Enas E. Hussein
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imbalanced data ,travel mode choice data ,hybrid support vector machine-based model ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The investigation of travel mode choice is an essential task in transport planning and policymaking for predicting travel demands. Typically, mode choice datasets are imbalanced and learning from such datasets is challenging. This study deals with imbalanced mode choice data by developing an algorithm (SVMAK) based on a support vector machine model and the theory of adjusting kernel scaling. The kernel function’s choice was evaluated by applying the likelihood-ratio chi-square and weighting measures. The empirical assessment was performed on the 2017 National Household Travel Survey–California dataset. The performance of the SVMAK model was compared with several other models, including neural networks, XGBoost, Bayesian Network, standard support vector machine model, and some SVM-based models that were previously developed to handle the imbalanced datasets. The SVMAK model outperformed these models, and in some cases improved the accuracy of the minority class classification. For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution.
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- 2021
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5. Effect of Quarry Rock Dust as a Binder on the Properties of Fly Ash and Slag-Based Geopolymer Concrete Exposed to Ambient and Elevated Temperatures
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Khadim Hussain, Faheem Butt, Mamdooh Alwetaishi, Rana Muhammad Waqas, Fahid Aslam, Muhammad Ibraheem, Zhu Xulong, Naveed Ahmad, Rana Faisal Tufail, Muhammad Ali Musarat, and Enas E. Hussein
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geopolymer ,elevated temperature ,compressive ,quarry rock dust ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
This study presents the performance of quarry rock dust (QRD) incorporated fly ash (FA) and slag (SG) based geopolymer concretes (QFS-GPC) exposed to ambient and elevated temperatures. A total of five QFS-GPC mix types were prepared. The quantity of FA (50%) was kept constant in all the mixes, and SG was replaced by 5%, 10%, 15%, and 20% of QRD. The fresh, hardened properties of the QFS-GPC mixes, viz., workability, compressive strength, splitting tensile strength, and flexural strengths, and XRD for identification of reaction phases were evaluated. The prepared mixes were also heated up to 800 °C to evaluate the residual compressive strength and weight loss. The workability of the QFS-GPC mixes was observed to be reduced by increasing the dosage (0 to 20%) of QRD. Superplasticizer (SP) was used to maintain the medium standard of workability. The compressive, tensile, and flexural strengths were increased by replacing SG with QRD up to 15%, whereas a further higher dosage (20%) of QRD reduced the mechanical strengths of the QFS-GPC mixes. The strength of the QFS-GPC specimens, heated to elevated temperatures up to 800 °C, was reduced persistently with the increased contents of QRD from 0 to 20%. It was concluded from the study that QFS-GPC can be used to achieve 30 MPa strength of concrete.
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- 2021
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6. A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon
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Seyedehmaryam Moosavi, Otilia Manta, Yaser A. El-Badry, Enas E. Hussein, Zeinhom M. El-Bahy, Noor fariza Binti Mohd Fawzi, Jaunius Urbonavičius, and Seyed Mohammad Hossein Moosavi
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machine learning ,wastewater treatment ,dye adsorption ,agricultural waste ,activated carbon ,Chemistry ,QD1-999 - Abstract
The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After comprehensive feature selection analysis, five important variables were selected from nine variables. The RF with the highest accuracy (R2 = 0.9) was selected as the best model for prediction of adsorption capacity of agro-waste using the five selected variables. The results suggested that agro-waste characteristics (pore volume, surface area, agro-waste pH, and particle size) accounted for 50.7% contribution for adsorption efficiency. The pore volume and surface area are the most important influencing variables among the agro-waste characteristics, while the role of particle size was inconspicuous. The accurate ability of the developed models’ prediction could significantly reduce experimental screening efforts, such as predicting the dye removal efficiency of agro-waste activated carbon according to agro-waste characteristics. The relative importance of variables could provide a right direction for better treatments of dyes in the real wastewater.
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- 2021
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7. Photocatalytic Phenol Degradation by Silica-Modified Titanium Dioxide
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Diana Rakhmawaty Eddy, Soraya Nur Ishmah, Muhamad Diki Permana, M. Lutfi Firdaus, Iman Rahayu, Yaser A. El-Badry, Enas E. Hussein, and Zeinhom M. El-Bahy
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impregnation ,phenol ,photocatalyst ,silicon dioxide ,titanium dioxide ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Titanium dioxide (TiO2) has been widely applied as a photocatalyst for wastewater treatment due to its high photocatalytic activity and it can remove various harmful organic pollutants effectively. Under heated system, however, TiO2 is prone to agglomeration that decrease its abilities as a photocatalyst. In order to overcome the agglomeration and increase its thermal resistance, addition of silica (SiO2) as supporting material is proposed in this research. Silica or silicon dioxide can be extracted from natural resources such as beach sand. Here, we report the application of a composite photocatalyst of TiO2/SiO2 to remove phenolic compounds in wastewater. The photocatalyst was synthesized by adding SiO2 from beach sand onto TiO2 through impregnation methods. The results of the X-ray diffraction (XRD) showed that TiO2 was present in the anatase phase. The highest crystallinity was obtained by TiO2/SiO2 ratios of 7:1. SEM results showed that the shape of the particles was spherical. Further characterizations were conducted using Fourier-transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET) analysis, and a particle size analyzer (PSA). By using the optimized condition, 96.05% phenol was degraded by the synthesized photocatalyst of TiO2/SiO2, under UV irradiation for 120 min. The efficiency of the TiO2/SiO2 is 3.5 times better than commercial TiO2 P25 for the Langmuir–Hinshelwood first-order kinetic model.
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- 2021
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8. The Evaluation of Structural, Electrical and Magnetic Properties of Samarium substituted Spinel Ferrites
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Muhammad Tahir, Salma Aman, Ashraf Yehia El-Naggar, Zeinhom M. El-Bahy, Hafiz Muhammad Tahir Farid, M. S. Al-Buriahi, Naseeb Ahmad, Enas E. Hussein, Muhammad Shakil Shah, Z. A. Alrowaili, and Rabia Yasmin Khosa
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bulk density ,Science (General) ,Materials science ,xrd ,soft ferrites ,Spinel ,chemistry.chemical_element ,engineering.material ,curie temperature ,Samarium ,Q1-390 ,chemistry ,engineering ,Physical chemistry - Abstract
The spinel ferrites have been manufacturing long time because of their variety of applications in technological and industrial field. In the following study, the samarium doped spinel ferrites were under examination. The prepared compositions were denoted as; SrSmxFe2–xO4, x = 0, 0.025, 0.05, 0.075, 0.10. Sol–gel procedure was employed to make these samples. All the samples were investigated through the X-ray diffraction technique. The phase of prepared product was detected for the first three samples. However, the orthorhombic phase, that is, SmFeO3, was traced when samarium (Sm) composition reached 0.075 and above. The smaller width of the M–H loop confirmed the formation of soft ferrites. Saturation and remanence values were diminished with the substitution of samarium ions. But the anisotropy constant as well as coercivity values was enhanced with the samarium contents. Above mentioned features of spinel ferrites showed their possible usage in high-density recording applications.
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- 2021
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9. Shallow Groundwater Quality Assessment and Its Suitability Analysis for Drinking and Irrigation Purposes
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Muwaffaq Alqurashi, Aqil Tariq, Enas E. Hussein, Gohar Rehman, Shakeel Ahmed Talpur, Shuxin Li, Juanfen Chai, Javed Iqbal, Wenjing Zhang, Mamoona Munir, and Muhammad Yousuf Jat Baloch
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Irrigation ,Geography, Planning and Development ,Weathering ,Aquatic Science ,Biochemistry ,Chloride ,chemistry.chemical_compound ,hydrogeochemical facies ,water–rock interaction ,groundwater ,water quality index (WQI) ,multivariate analysis ,health risk rate (HRR) ,medicine ,Farm water ,TD201-500 ,Water Science and Technology ,Carbonic acid ,Hydrology ,Water supply for domestic and industrial purposes ,Hydraulic engineering ,Salinity ,chemistry ,Environmental science ,Water quality ,TC1-978 ,Groundwater ,medicine.drug - Abstract
For shallow groundwater, hydrogeochemical processes and quality assessment must be addressed because shallow groundwater is freely available in many parts of the globe. Due to recent anthropogenic activities and environmental changes in Sakrand, Sindh, Pakistan, the groundwater is extremely vulnerable. To provide safe drinking and agricultural water, hydrogeochemical analysis is required. Ninety-five groundwater samples were analyzed using agricultural and drinking indices to determine the hydrogeochemical parameters using multivariate analysis such as Pearson correlations, principal component cluster analysis, as well as Piper diagrams and Gibbs plot for drinking and agricultural indices. An abundance of ions was observed through the statistical summary; however, cations and anions were recorded in the orders Na+ > Ca2+ > Mg2+ > K+ and HCO3− > Cl− > SO42− > NO3− > F−. The hydrogeochemical process used to quantify the major reactions occurring in the groundwater system showed rock dominance; the Piper diagrams evaluated the water type. A mixed pattern of calcium, magnesium, and chloride ions (Ca2+−Mg2+−Cl− type) was observed. Additionally, the ion exchange method showed an excess of bicarbonate ions due to carbonic acid weathering. The water quality index (WQI) resulted 32.6% of groundwater being unsuitable for human consumption; however, the United States Salinity Laboratory (USSL) diagram showed 60% of samples were unsuitable for irrigation due to high salinity and the Wilcox diagram depicted 5% of samples lying in the unsuitable region. Most of the water samples were suitable for drinking; only a few samples were unsafe for drinking purposes for children due to the high hazard index.
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- 2021
10. Effect of Quarry Rock Dust as a Binder on the Properties of Fly Ash and Slag-Based Geopolymer Concrete Exposed to Ambient and Elevated Temperatures
- Author
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Faheem Butt, Zhu Xulong, Muhammad Ibraheem, Muhammad Ali Musarat, Fahid Aslam, Rana Muhammad Waqas, Khadim Hussain, Enas E. Hussein, Naveed Ahmad, Mamdooh Alwetaishi, and Rana Faisal Tufail
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Technology ,Materials science ,QH301-705.5 ,QC1-999 ,Flexural strength ,Ultimate tensile strength ,General Materials Science ,Composite material ,Biology (General) ,Instrumentation ,compressive ,QD1-999 ,geopolymer ,Fluid Flow and Transfer Processes ,quarry rock dust ,Process Chemistry and Technology ,Physics ,General Engineering ,Superplasticizer ,Geopolymer cement ,Slag ,Engineering (General). Civil engineering (General) ,Computer Science Applications ,Geopolymer ,Chemistry ,Compressive strength ,elevated temperature ,visual_art ,Fly ash ,visual_art.visual_art_medium ,TA1-2040 - Abstract
This study presents the performance of quarry rock dust (QRD) incorporated fly ash (FA) and slag (SG) based geopolymer concretes (QFS-GPC) exposed to ambient and elevated temperatures. A total of five QFS-GPC mix types were prepared. The quantity of FA (50%) was kept constant in all the mixes, and SG was replaced by 5%, 10%, 15%, and 20% of QRD. The fresh, hardened properties of the QFS-GPC mixes, viz., workability, compressive strength, splitting tensile strength, and flexural strengths, and XRD for identification of reaction phases were evaluated. The prepared mixes were also heated up to 800 °C to evaluate the residual compressive strength and weight loss. The workability of the QFS-GPC mixes was observed to be reduced by increasing the dosage (0 to 20%) of QRD. Superplasticizer (SP) was used to maintain the medium standard of workability. The compressive, tensile, and flexural strengths were increased by replacing SG with QRD up to 15%, whereas a further higher dosage (20%) of QRD reduced the mechanical strengths of the QFS-GPC mixes. The strength of the QFS-GPC specimens, heated to elevated temperatures up to 800 °C, was reduced persistently with the increased contents of QRD from 0 to 20%. It was concluded from the study that QFS-GPC can be used to achieve 30 MPa strength of concrete.
- Published
- 2021
11. A Study on Machine Learning Methods' Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon
- Author
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Enas E. Hussein, Seyed Mohammad Hossein Moosavi, Seyedehmaryam Moosavi, Yaser A. El-Badry, Jaunius Urbonavičius, Zeinhom M. El-Bahy, Noor fariza Binti Mohd Fawzi, and Otilia Manta
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General Chemical Engineering ,dye adsorption ,Feature selection ,Article ,Random forest ,Chemistry ,wastewater treatment ,Adsorption ,machine learning ,Wastewater ,Volume (thermodynamics) ,medicine ,Environmental science ,General Materials Science ,activated carbon ,Particle size ,Gradient boosting ,agricultural waste ,Biological system ,QD1-999 ,Activated carbon ,medicine.drug - Abstract
The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After comprehensive feature selection analysis, five important variables were selected from nine variables. The RF with the highest accuracy (R2 = 0.9) was selected as the best model for prediction of adsorption capacity of agro-waste using the five selected variables. The results suggested that agro-waste characteristics (pore volume, surface area, agro-waste pH, and particle size) accounted for 50.7% contribution for adsorption efficiency. The pore volume and surface area are the most important influencing variables among the agro-waste characteristics, while the role of particle size was inconspicuous. The accurate ability of the developed models’ prediction could significantly reduce experimental screening efforts, such as predicting the dye removal efficiency of agro-waste activated carbon according to agro-waste characteristics. The relative importance of variables could provide a right direction for better treatments of dyes in the real wastewater.
- Published
- 2021
12. Sustainable and eco-friendly synthesis of biodiesel from novel and non-edible seed oil of Monotheca buxifolia using green nano-catalyst of calcium oxide
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null Rozina, Mushtaq Ahmad, Ashraf Y. Elnaggar, Lee Keat Teong, Shazia Sultana, Muhammad Zafar, Mamoona Munir, Enas E. Hussein, and Sheikh Zain Ul Abidin
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Non-edible seed oil ,Biodiesel ,Materials science ,Renewable Energy, Sustainability and the Environment ,Pour point ,Calcium oxide ,Energy Engineering and Power Technology ,EN 14214 ,Transesterification ,Sustainable ,Green nano-particles ,Engineering (General). Civil engineering (General) ,Catalysis ,chemistry.chemical_compound ,Fuel Technology ,Nuclear Energy and Engineering ,chemistry ,Flash point ,Monotheca buxifolia ,Methanol ,TA1-2040 ,Nuclear chemistry - Abstract
Biodiesel have achieved the status of sustainable and alternative energy source for transportation in many countries. Large scale production of biodiesel could lead to positive outcomes in terms of environmental quality by reducing greenhouse gasses emission and Societal-Economic development. Hence, our current research work focused on biodiesel synthesis from novel, non-edible seed oil of Monotheca buxifolia using green nano-particles of calcium oxide synthesized with aqueous leaves extract of Boerhavia procumbens via single step transesterification. Green nano-particles of calcium oxide were characterized by advanced techniques like X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Energy diffraction X-Ray (EDX) and Thermo gravitational analysis (TGA). High yield of 95% of biodiesel was obtained at optimum reaction conditions such as methanol to oil molar ratio of 9:1, catalyst loading of 0.83 (wt.%), reaction time of 180 min and temperature of 85 oC. Gas Chromatography/Mass spectroscopy (GC/MS) analysis of biodiesel revealed four distinct peaks of methyl esters. Results of Fourier-transform infrared spectroscopy (FTIR) and Nuclear magnetic resonance (NMR) confirmed the formation of biodiesel. Fuel properties of biodiesel such as density (0.821 kg/m3), viscosity (5.35 mm2/s), cloud point (-8 ◦C), pour point (-9 ◦C) and flash point (95 ◦C) were found equivalent to international standards of fuels like ASTM D-6571, EN 14214 and China GB/T 20828-2007. It was concluded that Monotheca buxifolia is a highly potential and cheaper biomass feedstock for sustainable production of biodiesel which could have positive environmental and socioeconomic impacts at various levels.
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- 2022
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13. Effect of using heavy aggregates on the high performance concrete used in nuclear facilities
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Mohamed E. Sultan, Mamdooh Alwetaishi, Mahmoud Gharieb, Enas E. Hussein, and Youssef A. Mosleh
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Aggregate (composite) ,Materials science ,Metallurgy ,Slag ,Building and Construction ,Raw material ,Industrial waste ,Neutron temperature ,chemistry.chemical_compound ,Compressive strength ,chemistry ,Attenuation coefficient ,visual_art ,visual_art.visual_art_medium ,General Materials Science ,Civil and Structural Engineering ,Magnetite - Abstract
For nuclear power plants construction, each country has to make use of its own available raw materials. Therefore, through the current research we had to search for the relevant local materials suitable for usage as concrete components and satisfy the needed requirements. The target of this research is to investigate the effect of some type’s heavy aggregates on the physico-mechanical properties and attenuation coefficient of the high performance heavy concrete used as radiation shielding of nuclear facilities. For this purpose radiation shielding properties of high performance heavy concrete mixture prepared using different types of heavy aggregates such as magnetite in addition to industrial waste of lead slag as a coarse aggregate and fine aggregate of local sand or replacing sand by fine magnetite or lead slag, were investigated comparatively with hardened dolomite concrete. The physico-mechanical properties of type aggregates and hardened concretes were examined. Gamma transmission parameters for the studied concrete for Cs137 and Co60 as gamma source were measured, also the effective removal cross-section (ΣR) of fast neutrons spectra for a wide range of neutron energies of [2–12 MeV] with thicknesses 4, 6, 8, 10 and 12 cm of heavy concrete mixes for Plutonium-Beryllium as neutrons source. While the thermal neutrons tests were performed using californium radioisotope. An innovative material that the current research has introduced to be used as a heavy coarse aggregate in HPC is “lead slag”, lead slag has been converted from a subsidiary industrial and environment polluting waste to a very valuable material as one of the ingredients of heavy concrete. It was found that, the magnetite and lead slag aggregates improved the physico-mechanical properties of heavy concrete compared to dolomite concrete. Replacing fine sand by the fine aggregates of magnetite or lead slag enhances the efficiency of attenuation by the concrete mixes against these radiations and the compressive strength values increase by 12 and 27% respectively, of heavy concrete after 28 days. The concrete mix containing lead slag aggregate has higher mechanical properties and enhances the attenuation properties for fast neutrons, gamma rays and thermal neutrons than the other concrete mixes.
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- 2021
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14. Influence of Temperature in Degradation of Organic Pollution Using Corona Discharge Plasma
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Adel Z. El-Dein, A. El-Tayeb, Enas E. Hussein, and Ashraf Yehia El-Naggar
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Materials science ,Geography, Planning and Development ,Analytical chemistry ,TJ807-830 ,pin-to-plate electrodes ,Management, Monitoring, Policy and Law ,Nonthermal plasma ,TD194-195 ,Renewable energy sources ,Chemical kinetics ,Reaction rate ,chemistry.chemical_compound ,symbols.namesake ,GE1-350 ,nonthermal plasma ,Corona discharge ,dye decolorization ,Arrhenius equation ,Environmental effects of industries and plants ,Renewable Energy, Sustainability and the Environment ,Plasma ,Environmental sciences ,chemistry ,symbols ,Electric discharge ,corona discharge plasma ,Acid dye - Abstract
Dye solution temperature influences the elimination efficiency of water-soluble and anionic acid dye. Acid Blue 25 dye, using a gas–liquid electrical discharge system, was successfully investigated. The results showed an increase in the percentage of dye decolorization from 91.16% to 96.12% when the dye solution temperature was increased from 278 K to 308 K. However, the initial dye decolorization percentage was decreased with the further increase in dye solution temperature from 318 K to 358 K. The 2D simulation model was introduced to consider the influence of temperature and the electric field generated by corona discharge plasma in air and water. Results also showed a great match between the experimental and the simulation results. The reaction rates of dye degradation were analyzed using the Arrhenius equation. Furthermore, pseudo-zero-, pseudo-first-, and pseudo-second-order models were used to determine the reaction kinetics. The best fit for the experimental data would follow the pseudo-first-order model. Finally, electrical energy per order, energy yield, and experimental degradation data were calculated to investigate the cost analysis.
- Published
- 2021
- Full Text
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