Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Alyaa. K. Mageed"'
Autor:
Hiba Abduladheem Shakir, May Ali Alsaffar, Alyaa K. Mageed, Khalid A. Sukkar, Mohamed A. Abdel Ghany
Publikováno v:
ChemEngineering, Vol 8, Iss 4, p 72 (2024)
One interesting method for environmental remediation is the use of ZnO/ZrO2 composites in the photocatalytic degradation of lead (Pb) in wastewater. Several studies have investigated different types of composites for the removal of heavy metals from
Externí odkaz:
https://doaj.org/article/72f9c1be75a74a41957968cdbf48d20b
Publikováno v:
Bulletin of Chemical Reaction Engineering & Catalysis, Vol 18, Iss 1, Pp 1-16 (2023)
Green synthesis methods using plants have many advantages such as time-saving, chemical-free, and negative effects on the environment. So, extracted Citrus aurantium juice was used to synthesize green CuO/TiO2 and(G- CuO/TiO2) nanocatalyst which was
Externí odkaz:
https://doaj.org/article/8e280ceaf6e24baab9c92b864af57bca
Autor:
May Ali Alsaffar, Mohamed Abdel Rahman Abdel Ghany, Alyaa K. Mageed, Adnan A. AbdulRazak, Jamal Manee Ali, Khalid A. Sukkar, Bamidele Victor Ayodele
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8966 (2023)
Conventional treatment methods such as chlorination and ozonation have been proven not to be effective in eliminating and degrading contaminants such as Bisphenol A (BPA) from wastewater. Hence, the degradation of BPA using a photocatalytic reactor h
Externí odkaz:
https://doaj.org/article/bb5a4d589a414c219abac7952efa23a5
Autor:
Alyaa. K. Mageed, Dayang A. B. Radiah, A. Salmiaton, Shamsul Izhar, Musab Abdul Razak, Bamidele Victor Ayodele
Publikováno v:
Bulletin of Chemical Reaction Engineering & Catalysis, Vol 15, Iss 2, Pp 568-578 (2020)
In this study, the dehydrogenation of cyclohexanol to cyclohexanone over nitrogen-doped reduced graphene oxide (N-rGO) Cu catalyst has been reported. The N-rGO support was synthesized by chemical reduction of graphite oxide (GO). The synthesized N-rG
Externí odkaz:
https://doaj.org/article/d906f2bb93c94f7684080424fded95ff
Publikováno v:
Inorganics, Vol 10, Iss 12, p 260 (2022)
In this paper, the extract of Citrus aurantium (CA) was used as a green approach for the preparation of Fe3O4 nanoparticles. The green Fe3O4 (Fe3O4/CA) was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersiv
Externí odkaz:
https://doaj.org/article/fad02d2cde674a25882f4963d88de8e3
Publikováno v:
Bulletin of Chemical Reaction Engineering & Catalysis. 18:1-16
Green synthesis methods using plants have many advantages such as time-saving, chemical-free, and negative effects on the environment. So, extracted Citrus aurantium juice was used to synthesize green CuO/TiO2 and(G- CuO/TiO2) nanocatalyst which was
Autor:
Zainb Y. Shnain, Alyaa K. Mageed, Hasan Sh. Majdi, Majid Mohammadi, Adnan A. AbdulRazak, Mohammad F. Abid
Publikováno v:
Journal of Petroleum Exploration and Production Technology. 12:2429-2439
Study has shown that the precipitation of asphaltenes could be the most detrimental mechanism that significantly influences well productivity during crude oil processing. The flow of the crude oil could seriously be affected if the effect of the asph
Publikováno v:
Asian Journal of Water, Environment and Pollution. 19:73-79
The effect of utilising energy derived from fossil sources on the environment has aroused research interest in alternative and sustainable energy sources. Synthesis gas, a mixture of carbon monoxide (CO) and hydrogen can be used as starting materials
Autor:
Mohamed A. Abdel Ghany, Nahla F. Alwan, Tagreed Lutfee, May Ali Alsaffar, Adnan A. AbdulRazak, Alyaa K. Mageed
Publikováno v:
Chemical Papers. 75:6025-6033
Collagen is a protein substance that has been widely studied due to its several advantages. It finds wide applications in various fields of endeavors. This mini-review presents a glance overview of the extraction of collagens from waste sources and i
Autor:
Alyaa K. Mageed
Publikováno v:
Biomass Conversion and Biorefinery. 13:3319-3327
The production of hydrogen is one way to meet the ever-increasing demand for cleaner and renewable energy sources. In this study, various machine learning techniques such as Levenberg–Marquardt neural networks (LMNN), scaled conjugate gradient desc