Advanced water treatment processes (adsorption; membrane processes; and ion exchange)
Monitoring strategies and treatment performance assessments
State-of-the-art analysis of oxyanions (Arsenic, phosphate) and NOM in water and wastewater systems
Project
Experimental and numerical investigations of arsenic removal from contaminated wate
Electro-conductive porous membranes for electro-sorption/-desorption of natural organic matter from water
Publications
2022
Alam, R., Khan, S. U., Usman, M., Asif, M., Farooqi, I. H. (2022). A critical review on treatment of saline wastewater with emphasis on electrochemical based approaches. Process Safety and Environmental Protection 158,625-643. https://doi.org/10.1016/j.psep.2021.11.054
Benettayeb, A., Ghosh, S., Usman, M., Seihoub, F. Z., Sohoo, I., Chia, C. H., & Sillanpää, M. (2022). Some well-known alginate and chitosan modifications used in adsorption: A review. Water, 14(9), 1353. doi: 10.3390/w14091353
Benettayeb, A., Usman, M., Tinashe, C. C., Adam, T., & Haddou, B. (2022). A critical review with emphasis on recent pieces of evidence of Moringa oleifera biosorption in water and wastewater treatment. Environmental Science and Pollution Research. doi: 10.1007/s11356-022-19938-w
2021
Aslam MM-A, Kuo H-W, Den W, Usman M, Sultan M, Ashraf H. Functionalized carbon nanotubes (CNTs) for water and wastewater treatment: Preparation to application. Sustainability. 2021; 13(10):5717. 10.3390/su13105717
Usman, M., Belkasmi, A.I., Katsoyiannis, I., Ernst, M. (2021). Pre-deposited dynamic membrane adsorber formed from microscale conventional iron-based adsorbents to remove arsenic from water: Application study and mathematical modeling. Journal of Chemical Technology and Biotechnology. DOI: 10.1002/jctb.6728
S. Glass, T. Mantel, M. Appold, S. Sen, M. Usman, M. Ernst, V. Filiz, "Amine-Terminated PAN Membranes as Anion-Adsorber Materials", Chemie Ingenieur Technik 2021, https://doi.org/10.1002/cite.202100037
Mousazadeh, M.; Niaragh, E.K.; Usman, M.; Khan, S.U.; Sandoval, M.A.; Al-Qodah, Z.; Khalid, Z.B.; Gilhotra, V.; Emamjomeh, M.M. A critical review of state-of-the-art electrocoagulation technique applied to COD-rich industrial wastewaters. Environmental Science and Pollution Research 2021, doi:10.1007/s11356-021-14631-w.
2020
Khan, S. U., Farooqi, I. H., Usman, M., & Basheer, F. (2020). Energy Efficient Rapid Removal of Arsenic in an Electrocoagulation Reactor with Hybrid Fe/Al Electrodes: Process Optimization Using CCD and Kinetic Modeling. Water, 12(10), 2876. DOI:10.3390/w12102876
Usman. M., Katsoyiannis. I., Rodrigues. JH., Ernst. M. (2020). Arsenate removal from drinking water using by-products from conventional iron oxyhydroxides production as adsorbents coupled with submerged microfiltration unit. Environmental science and pollution research. DOI: 10.1007/s11356-020-08327-w
Usman, M.; Zarebanadkouki, M.; Waseem, M.; Katsoyiannis, I.A.; Ernst, M. Mathematical modeling of arsenic(V) adsorption onto iron oxyhydroxides in an adsorption-submerged membrane hybrid system. Journal of Hazardous Materials 2020. DOI: 10.1016/j.jhazmat.2020.123221
2019
M. Usman, J. Rodrigues, S. Tasawwar, M. Ernst, Application of submerged membrane adsorption hybrid system to remove arsenic for drinking water production, Proceedings of the 9th International Water Association (IWA) Membrane Technology Conference (IWA-MTC 2019), 23 to 27 June 2019, Toulouse, France.
M. Usman, I. Katsoyiannis, S. Tasawwar, M. Ernst, Effect of Water Matrix on Arsenic Removal Using Three Iron Oxide-based Adsorbents, Proceedings of the 17th International Conference on Chemistry and Environment (ICCE 2019), 16 to 20 June 2019, Thessaloniki, Greece.
2018
Usman, M.; Katsoyiannis, I.; Mitrakas, M.; Zouboulis, A.; Ernst, M. Performance Evaluation of Small Sized Powdered Ferric Hydroxide as Arsenic Adsorbent. Water 2018, 10, 957.
Usman, M.; Waseem, M.; Mani, N.; Andiego, G. Optimization of Soil Aquifer Treatment by Chemical Oxidation with Hydrogen Peroxide Addition. Pollution 2018, 4, 369–379.
Andiego, G.; Waseem, M.; Usman, M.; Mani, N. The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model. CWEEE 2018, 08, 27–50.