Semantic Scholar Open Access 2023 87 sitasi

Removal of hydrocarbons and heavy metals from petroleum water by modern green nanotechnology methods

Abderrhmane Bouafia Souhaila Meneceur Souheyla Chami S. E. Laouini Henda Daoudi +4 lainnya

Abstrak

Considered heavy metals, such as As(III), Bi(II), Cd(II), Cr(VI), Mn(II), Mo(II), Ni(II), Pb(II), Sb(III), Se(-II), Zn(II), and contaminating chemical compounds (monocyclic aromatic hydrocarbons such as phenolic or polycyclic derivatives) in wastewater (petrochemical industries: oil and gas production plants) are currently a major concern in environmental toxicology due to their toxic effects on aquatic and terrestrial life. In order to maintain biodiversity, hydrosphere ecosystems, and people, it is crucial to remove these heavy metals and polluting chemical compounds from the watery environment. In this study, different Nanoparticles (α-Fe_2O_3, CuO, and ZnO) were synthesized by green synthesis method using Portulaca oleracea leaf extract and characterized by UV–Vis spectrophotometers, FTIR spectroscopy, X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS) techniques in order to investigate morphology, composition, and crystalline structure of NPs, these were then used as adsorbent for the removal of As(III), Bi(II), Cd(II), Cr(VI), Mn(II), Mo(II), Ni(II), Pb(II), Sb(III), Se(-II), and Zn(II) from wastewater, and removal efficiencies of were obtained 100% under optimal conditions.

Topik & Kata Kunci

Penulis (9)

A

Abderrhmane Bouafia

S

Souhaila Meneceur

S

Souheyla Chami

S

S. E. Laouini

H

Henda Daoudi

S

Souheila Legmairi

H

Hamdi Ali Mohammed Mohammed

N

Narimene Aoun

F

F. Menaa

Format Sitasi

Bouafia, A., Meneceur, S., Chami, S., Laouini, S.E., Daoudi, H., Legmairi, S. et al. (2023). Removal of hydrocarbons and heavy metals from petroleum water by modern green nanotechnology methods. https://doi.org/10.1038/s41598-023-32938-1

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41598-023-32938-1
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
87×
Sumber Database
Semantic Scholar
DOI
10.1038/s41598-023-32938-1
Akses
Open Access ✓