Ph.D. of Environmental Engineering

Sep 19, 2019 - Jun 22, 2022

Master of Environmental Engineering

Sep 15, 2006 - Jun 20, 2009

Bachelor of Civil Engineering

Nov 14, 2001 - Jun 15, 2005

Head of Water Resources Department [Head of Water Resources Department in the The Technical College / Alhaweja]

Sep 20, 2017 - Jun 30, 2019

Lecturer [Lecturer in the Water Resources Department in the The Technical College / Alhaweja]

Sep 10, 2022 - Sep 10, 2023

Lecturer [Lecturer in the Building and Construction Material Department in the The Technical College / Mousl]

Sep 10, 2023 - Nov 12, 2024

Lecturer [Lecturer in the Geomatics Department in the The Technical College / Mosul]

Nov 12, 2024 - Present

Enhanced 4-chlorophenol adsorption from aqueous solution using eco-friendly nanocomposite

Apr 1, 2025

Journal ECOLOGICAL ENGINEERING & ENVIRONMENTAL TECHNOLOGY

Adsorption of 4-chlorophenol (4-CP) via magnetite/SiO2/xanthan were investigated using batch scale experiments. The study aims to prepare a green nanocomposite (NC) and determine whether it is effective in removing 4-CP. To synthesize NC (magnetite/SiO2/xanthan) from Alocasia macrorrhiza extract, a simple, and green method was applied. X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM) were used to identify the prepared NC. The response surface modeling (RSM) was employed to optimize operational variables in the adsorption process of 4-chlorophenol (4-CP) from an aqueous solution using NCs as an adsorbent. The results indicate that the oxidation percentage of 4-CP is 89.47%, at ideal conditions [temperature (25 °C), 4-CP concentration (10 mg/L), contact time (180 minutes), rpm speed (200), pH (3), and adsorbent dose (1 g/L)]. Moreover, the model’s normal reaction results have a sensible likeness to the actual data (R2 = 95.19), exhibiting the productivity of this technique in making an exact forecast. A second-order polynomial multiple regression model was utilized to assess the responses, which affirms that it was a satisfactory adjustment (R2 = 0.9864) with the accomplished data through investigation of variance (R2 = 95.19%, R2 adj = 94.34% and R2 pred = 93.24%).

Removal of levofloxacin from aqueous solutions by using micro algae: optimization, isotherm, and kinetic study

Jul 20, 2024

Journal Results in Engineering

publisher ELSEVIER

DOI https://doi.org/10.1016/j.rineng.2024.102529

This study was focused on the response surface methodology modeling of the removal of levofloxacin residue using microalgae as adsorbent. The microalgae categories Cladophora was characterized by Fourier transform infrared spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and X-ray Diffraction (XRD) analysis techniques. The efficacy of LEV removal was evaluated by the historical data of different variables (time, pH, algal dosage, and LEV concentration) using Central Composed Design (CCD). The predicted results of the model demonstrated that the expected responses are reasonably close to the actual data, demonstrating the efficiency of this method in producing an accurate prediction. The model was found to be significant based on its coefficient of determination, which was 0.914, along with the fitted and projected values of 0.9029 and 0.8967. Furthermore, the results of the predicted reaction optimization showed that the maximum LEV elimination could be achieved within a time of 90 min, a pH of 6 and 0.2 g/L of micro algae. The model was validated experimentally with 95.45 % of LEV elimination efficiency. In addition, it is observed that the LEV removal process followed Langmuir model and pseudo-second order kinetic in majority of the cases with R2 of 0.9959. As a result of the dead algae’s simple use and high adsorption effectiveness, the results demonstrated the possible use of antibiotics in aqueous solutions.

Synthesis, characterization of FeNi3@SiO2@CuS for enhance solar photocatalytic degradation of atrazine herbicides: Application of RSM

Jul 3, 2024

Journal Results in Surfaces and Interfaces

publisher ELSEVIER

Ability of FeNi3/SiO2/TiO2 nanocomposite to degrade amoxicillin in wastewater samples in solar light-driven processes

Dec 28, 2022

Journal South African Journal of Botany

publisher ELSEVIER

DOI https://doi.org/10.1016/j.sajb.2022.12.031

This research aims to develop a novel photocatalyst with excellent photocatalytic performance and investigate its potential to remove amoxicillin (AMOX) from an aqueous solution. First, FeNi3/SiO2/TiO2 was characterized using X-ray diffraction, scanning electron microscope, Brunauer
Emmett
Teller analysis, Fourier transform infrared spectroscopy, and scanning electron microscopy. Then, the FeNi3/SiO2/TiO2 nanocomposite was tested for its ability to degrade AMOX in a batch solar-photocatalysis reactor. The effects of parameters such as pH, contact time, initial concentration, and nanocomposite dose were investigated during the experiments. The results demonstrated the performance by degrading 10 mg/L of AMOX solution to 96 % after 30 min in the dark and 90 min of solar irradiation and using 50 mg/L of nanocomposite at pH =5. Furthermore, the kinetic of the degradation rate of AMOX followed the pseudo-first-order equation with R2 > 0.987, and this reaction’s constant rate of degradation was obtained as 0.03 1/min. The used catalyst showed high recycling efficiency and stability over four photocatalytic cycles. This study showed that FeNi3/SiO2/TiO2 magnetic nanocomposite in a solar
photocatalytic reactor under optimum operating conditions has a reasonable efficiency in the degradation of AMOX.

Green synthesis of TiO2 using Ocimum basilicum leaf extract and its application in photocatalytic degradation of amoxicillin residues from aqueous solution

Apr 9, 2022

Journal Desalination and Water Treatment

publisher ELSEVIER

DOI https://doi.org/10.1016/j.sajb.2022.12.031

Much research has been triggered by interest in green synthesis because it is low in toxicity and high in reproducibility, as well as pollution-free and cost-effective. The aim of this study is the production of titanium dioxide nanoparticles using basil leaf (B-TiO2). The formation, size, and shape of the B-TiO2 particles were confirmed via spectroscopy and microscopy using the X-ray diffraction, Fourier-transform infrared spectroscopy, and scanning electron microscopy techniques to investigate the B-TiO2 synthesized. The photocatalytic effectiveness of the B-TiO2 nanoparticles was examined by degrading the amoxicillin (AMOX) residue from an aqueous solution using solar irradiation. From the findings the B-TiO2 was proven to be highly capable of treating AMOXcontaminated water and showed maximum removal efficiency, achieving 91.36% under the best operational conditions of pH 5, and specific concentrations of B-TiO2 (25 mg/L), H2O2 (500 mg/L) and AMOX (10 mg/L). Besides, the results showed that during the decomposition process the elimination of total organic carbon achieved 86.24% and intermediate compounds were generated when GC-Mass testing was done. In the present study, it was confirmed that during the degradation of AMOX the green synthesis of the B-TiO2 photocatalyst nanocomposite, in a solar–photocatalytic reactor, at optimum operating conditions, revealed acceptable efficiency.

Ability of Response Surface Methodology to Optimize Photocatalytic Degradation of Amoxicillin from Aqueous Solutions Using Immobilized TiO2/Sand

Mar 29, 2022

Journal Journal of Ecological Engineering

The response surface method was applied to optimize operational factors in the solar photocatalytic process on the removal of Amoxicillin (AMOX) residues from aqueous solution using TiO2 immobilized on the sand as a catalyst. The results reveal that the degradation percentage of AMOX is 93.12%, when optimal conditions of pH=5, 75 mg/l of TiO2, 400 mg/l of H2O2, and 10 mg/l of AMOX concentration at 150 min irradiation time were used. Furthermore, the model’s expected response results have reasonable similarity with the actual data (R2 = 93.58%), demonstrating the efficiency of this method in making an accurate prediction. A second-order polynomial multiple regression model was used to evaluate the responses, which confirms that was a satisfactory adjustment with the achieved data through analysis of variance (R2 = 93.58%, R2adj = 91.48% and R2pred =89.68%). In addition, it is observed that the removal of undesirable compounds follows a pseudo-2nd order kinetic model with R2 = 0.9862. In conclusion, with the ease of usage of immobilized TiO2 and good photocatalytic efficiency, the findings showed the potential application to the antibiotics from an aqueous solution.