Investigation of photocatalytic degradation of BTEX in produced water using γ-Fe2O3 nanoparticle

Sheikholeslami, Zahra; Kebria, Daryoush Yousefi; Qaderi, Farhad

doi:10.1007/s10973-018-7381-x

Cited by 41 publications

(11 citation statements)

References 45 publications

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“…So many experiments are needed while using these methods which take more time and cost more (Sharif et al 2016). Experimental design for the modeling and optimization of produced water treatments is an important procedure to promote pollutants removal efficiency while decreasing the number of experiments considerably (Chen et al 2019;Sheikholeslami et al 2019;Shahriari & Hosseini 2020).…”

Section: Introductionmentioning

confidence: 99%

Using BCN nanostructure as anode electrode for photoelectrocatalytic degradation of organics: a statistical approach

Ebadi¹,

Ghasemipanah²,

Alaie³

et al. 2021

Journal of Water Supply: Research and Technology-Aqua

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In this study, boron carbon nitride (BCN) nanostructures were used as photocatalyst which was synthesized in a chemical vapor deposition reactor. Photoelectrocatalysis was used for degradation organic pollutants from produced water. BCN nanostructures were coated on a coil-type copper wire to be as anode electrode in the photoelectrocatalytic process. The effect of different parameters on chemical oxygen demand (COD) removal efficiency from produced water was investigated by a central composite design (CCD) to maximize photoelectrocatalysis influence as one of the most used methods of wastewater treatment. A 12 run Plackett–Burman design was used for screening of the parameters (initial COD, electrical conductivity, applied cell voltage, UV lamp wavelength, H2O2 concentration, residence time, and initial pH) which led to the selection of residence time and initial pH as effective parameters. Since the core goal of this study was to maximize the COD removal efficiency, the steepest ascent method was used to propel these two parameters to the optimum region. Finally, CCD showed that applying photoelectrocatalysis could lead to 88.79% of the COD removal efficiency which would be an optimum value at a residence time of 15.85 min and a pH value of 3.3. Ultimately, this result was confirmed by experimentation at those conditions.

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Section: Introductionmentioning

confidence: 99%

Using BCN nanostructure as anode electrode for photoelectrocatalytic degradation of organics: a statistical approach

Ebadi¹,

Ghasemipanah²,

Alaie³

et al. 2021

Journal of Water Supply: Research and Technology-Aqua

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“…Some previous environmental papers worked on case studies [24,25]. In this research Tehran was selected as a case study.…”

Section: Locationmentioning

confidence: 99%

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

Qaderi¹,

Babanezhad²,

Ghadi³

2019

J. Model. Optim.

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One of the most toxic pollutant gases produced by fossil fuels is carbon monoxide. Hence, the accurate and regular estimation and control of CO in the cities such as Tehran is inevitable. In this research, for the first time, CO concentration in ambient air was predicted based on 12 important urban and meteorological parameters by neural network. Also, the sensitivity analysis of the factors that effect on the concentration of carbon monoxide in Tehran was investigated based on the pollutant concentration predictive model. In this research, the daily statistical data of Tehran metropolis over the course of five consecutive years from 12 factors affecting the amount of carbon monoxide in Tehran, such as population, density, precipitation, temperature, urban traffic, wind speed, gasoil consumption, moisture, air flow, effective vision and air pressure was used. Based on this database, the artificial neural network with the best possible algorithm had been trained to predict this contaminant and root mean square error of model was equal to 2.54. Then, sensitivity analysis was done to find the most effective factor on the concentration of carbon monoxide, urban density and air pressure. In order to control this hazardous contaminant in urban management, these parameters should be taken into account. Based on the result, by preventing the construction of high towers in Tehran, wind speed average will increase and increasing in wind speed (25%) caused to reducing in carbon monoxide concentration (about 12%). Also, prevention of urban density (25%) will cause to prevention of increasing CO concentration (about 10%).

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“…Replacement of Al 3+ ions (ionic radius 0.051 nm) by Fe 3+ ions (ionic radius 0.064 nm), or less likely by Fe 2+ ions (ionic radius 0.074 nm), in the octahedral layer can occur without a significant deterioration of the crystal structure. Incorporation of iron in the crystal lattice can most likely happen at three points: at structural discontinuities (broken particles), at stacking defects or at the outermost surfaces [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The role of thermal analysis in the development of high-iron-content kaolinite-based photocatalysts

Vágvölgyi

Győrfi

Zsirka

et al. 2020

J Therm Anal Calorim

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Dynamic and controlled-rate thermogravimetric analyses have been carried out on acid-treated (11 and 5.8 M HCl), highiron-content kaolinites as potential photocatalysts. The mineral contaminants were determined by XRD, while the defect sites of reduced coordination number obtained by surface treatments were identified with 27 Al MAS NMR spectroscopy. Upon heating, water is evolved from the surface-treated samples in three main stages: (1) removal of adsorbed water up to ~ 200 °C, (2) goethite dehydroxylation between 200 and 350 °C and (3) dehydroxylation of the clay in the 300-700 °C temperature range. Identification of water released from the above mass loss steps is difficult due to the significant overlap of steps 2 and 3, as well as to the presence of coordinated water at broken edges and defect sites (-OH 2 + groups). As a result, the thermal behavior of surface-treated kaolinites should be taken into account both in the preparation of hybrids/composites and in the acid-base characterization of the catalytic surface.

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Investigation of photocatalytic degradation of BTEX in produced water using γ-Fe2O3 nanoparticle

Cited by 41 publications

References 45 publications

Using BCN nanostructure as anode electrode for photoelectrocatalytic degradation of organics: a statistical approach

Using BCN nanostructure as anode electrode for photoelectrocatalytic degradation of organics: a statistical approach

Determining Effective Parameters on CO Concentration in Tehran Air by Sensitivity Analysis based on Neural Network Prediction

The role of thermal analysis in the development of high-iron-content kaolinite-based photocatalysts

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