Modeling of azo dyes adsorption on magnetic NiFe2O4/RGO nanocomposite using response surface methodology

Background Azo group dyes are the largest group of synthetics dyes that widely used in industries, especially in textile industry. The presence of these organic compounds in wastewaters and their discharge into environment without efficient treatment may cause adverse effect on human, living and aqu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of environmental health science and engineering 2019-12, Vol.17 (2), p.931-947
Hauptverfasser: Bazgir, Ayoub, Khorshidi, Alireza, Kamani, Hossein, Ashrafi, Seyed Davoud, Naghipour, Dariush
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background Azo group dyes are the largest group of synthetics dyes that widely used in industries, especially in textile industry. The presence of these organic compounds in wastewaters and their discharge into environment without efficient treatment may cause adverse effect on human, living and aquatic environment. The purpose of this study was to optimize the adsorption of azo dye of Direct Red 81 (anionic dye) and Basic Blue 41 (cationic dye) from aqueous solution onto magnetic NiFe 2 O 4 /RGO nanocomposite. Methods In this study the response surface methodology (RSM) based on the central composite design (CCD), was used to optimization and modeling of adsorption process DR81 and BB41 dye on NiFe 2 O 4 /RGO. in order to investigating the effect of the operating parameters on the adsorption efficiency DR81 and BB41, four influential factors were chosen that includes of pH (3–9), contact time (5–25 min), adsorbent amount (0.02–0.05 g) and initial dye concentration (40–200 mg/L). A total of 30 experiments were performed for each dye in this study. The concentration of dye in solution was measured by spectrophotometer. The structure of synthesized adsorbent was investigated using Scanning Electron Microscope (SEM), X-ray diffraction (XRD), Fourier transform irradiation (FTIR), transmission electron microscope (TEM) and vibrating sample magnetometer (VSM). Results Analysis of variance (ANOVA) showed that regression model for both dye adsorption with value of P value
ISSN:2052-336X
2052-336X
DOI:10.1007/s40201-019-00409-3