Parvin Gharbani

Dr. Parvin Gharbani

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2022 in npj Clean Water
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PGParvin Gharbani
Parvin Gharbani
AMAli Mehrizad
Ali Mehrizad
SMSeyyed Amir Mosavi
Seyyed Amir Mosavi
In this study, the photocatalytic degradation of Methylene Blue was investigated using CdSe nanoparticles. CdSe nanoparticles were synthesized via a simple method and were characterized by FTIR, XRD, FESEM, BET, DRS and EDS techniques. The photocatalytic performance of the CdSe nanoparticles was optimized using Response Surface Methodology (RSM) under visible light. The independent variables involved initial pH, MB concentration, photocatalyst dosage, and irradiation time were evaluated and the optimum photodegradation efficiency of MB dye removal was achieved ˜ 92.80% at pH = 8, 20 mgL−1 of MB concentration, 0.02 g 50 mL−1 of CdSe dosage, and 20 min of irradiation time. Also, the photodegradation of MB by CdSe is obeyed pseudo-first-order kinetic model (k = 0.038 min−1). The thermodynamic results revealed that the photocatalytic degradation of MB is spontaneous and endothermic. Also, the evaluation of various scavengers confirmed that the MB photodegradation was mainly done by photogenerated holes and hydroxyl radicals.


4 April 2023 in npj Clean Water
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SAShahrzad Asoubar
Shahrzad Asoubar
AMAli Mehrizad
Ali Mehrizad
MBMohammad A. Behnajady
Mohammad A. Behnajady
MRMohammad Ebrahim Ramazani
Mohammad Ebrahim Ramazani
PGParvin Gharbani
Parvin Gharbani
In this study, a flower-like SnIn4S8/SmVO4 heterostructure was synthesized by applying a hydrothermal approach and used as a visible-light-driven photocatalyst to remove hexavalent chromium (Cr6+) and Rhodamine B (RhB). The process design and optimization were carried out by response surface methodology (RSM). An artificial neural network (ANN) was also used to determine the relative importance of operational factors. Under RSM-based optimal conditions, the Cr6+ and RhB removal efficiency reached 90.93 and 97.57%, respectively. Process modeling by ANN revealed pH as the most influential factor in Cr6+ and dye removal. The predominant photocatalytic activity of SnIn4S8/SmVO4 was attributed to its Z-scheme structure, leading to the significant separation of charge carriers and conserving the redox capacity of the photogenerated electron-holes. Kinetic studies revealed that the SnIn4S8/SmVO4 could achieve considerable rate constants of 0.036 and 0.080 min−1 to remove Cr6+ and RhB, respectively. Furthermore, the catalyst’s reusability was confirmed under optimal conditions.

3 September 2012 in Iranian Journal of Environmental Health Science and Engineering
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AMAli Mehrizad
Ali Mehrizad
MAMehran Aghaie
Mehran Aghaie
PGParvin Gharbani
Parvin Gharbani
SDSiavoush Dastmalchi
Siavoush Dastmalchi
Majid MonajjemiMajid Monajjemi
Majid Monajjemi
KZKarim Zare
Karim Zare
The adsorption characteristics of 4-chloro-2-nitrophenol (4C2NP) onto single-walled and multi-walled carbon nanotubes (SWCNTs and MWCNTs) from aqueous solution were investigated with respect to the changes in the contact time, pH of solution, carbon nanotubes dosage and initial 4C2NP concentration. Experimental results showed that the adsorption efficiency of 4C2NP by carbon nanotubes (both of SWCNTs and MWCNTs) increased with increasing the initial 4C2NP concentration. The maximum adsorption took place in the pH range of 2–6. The linear correlation coefficients of different isotherm models were obtained. Results revealed that the Langmuir isotherm fitted the experimental data better than the others and based on the Langmuir model equation, maximum adsorption capacity of 4C2NP onto SWCNTs and MWCNTs were 1.44 and 4.42 mg/g, respectively. The observed changes in the standard Gibbs free energy, standard enthalpy and standard entropy showed that the adsorption of 4C2NP onto SWCNTs and MWCNTs is spontaneous and exothermic in the temperature range of 298–328 K.

6 January 2024 in npj Clean Water
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NBNeda Bagherlou
Neda Bagherlou
EGElnaz Ghasemi
Elnaz Ghasemi
PGParvin Gharbani
Parvin Gharbani
MBMirzaagha Babazadeh
Mirzaagha Babazadeh
AMAli Mehrizad
Ali Mehrizad
This study presents the preparation of SiO2/g-C3N5@NiFe2O4 nanophotocatalyst for the removal of betamethasone from aqueous solutions. The SiO2/g-C3N5@NiFe2O4 nanophotocatalyst was synthesized using the solvothermal method, and its structure and optical properties were characterized and confirmed through XRD, FESEM, EDX, DRS, BET, VSM and PL analysis. Photocatalytic removal of betamethasone was optimized using a central composite design. The band gap of pure g-C3N5, NiFe2O4, and SiO2/g-C3N5@NiFe2O4 was obtained 2.4 eV, 2.7 eV, and 1.4 eV, respectively using the Tauc plot. The F-value of 909.88 and Lack of Fit F-value of 0.41 confirm the obtained model is significant. Also, the value of R2 = 0.9988 along with R2adja = 09977 demonstrates excellent model performance. Maximum removal efficiency of betamethasone was approximately 87.15% under the following optimal conditions: nanophotocatalyst dosage of 0.005 g/50 mL, a betamethasone concentration of 20 mg/L, and an irradiation time of 40 min under visible light. This performance closely aligns with the actual value of 80.65%. In conclusion, the SiO2/g-C3N5@NiFe2O4 nanophotocatalyst demonstrates excellent photocatalytic ability for the removal of betamethasone from aqueous solutions.

1 July 2021 in Materials Chemistry and Physics
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Journal Article
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SMSeyyed Amir Mosavi
Seyyed Amir Mosavi
AGArezoo Ghadi
Arezoo Ghadi
PGParvin Gharbani
Parvin Gharbani
AMAli Mehrizad
Ali Mehrizad