Removal of the hazardous dyes through adsorption over nanozeolite-X: Simultaneous model, design and analysis of experiments. (1st March 2021)

• Record Type: Journal Article
• Authors: Shojaei, Siroos; Nouri, Arezoo; Baharinikoo, Leila; Davoodabadi Farahani, Meysam; Shojaei, Saeed
• Is Part Of: Polyhedron. Volume 196(2021)
• Publication Date: 2021-03-01
• Subjects: Central composite design -- Methyl Orange -- Nanozeolite-X -- Reactive Blue 15 -- Reactive Red 239; NX Nanozeolite-X -- MO Methyl Orange -- RB-15 Reactive Blue 15 -- RR-239 Reactive Red 239 -- RSM Response surface methodology -- CCD Central composite design -- SEM Scanning electron microscopy -- XRD X-ray diffraction -- ANOVA Analysis of variance; Chemistry, Inorganic -- Periodicals; Chimie inorganique -- Périodiques; Organometaalverbindingen; Anorganische chemie; 546.05
• DOI: 10.1016/j.poly.2020.114995
• Languages: English
• ISSNs: 0277-5387

Abstract

Graphical abstract: Highlights: Ultrasound-assisted dye removal process was investigated. Optimizations of the process parameter for dye removal using RSM analysis. High F-value, low P-value and R 2 -adj high for dyes demonstrate good correlation between experimental and predicted responses. Up to 93% dyes removal can be achieved using this adsorbent at optimum conditions. Abstract: Dyes are known as important contaminants which can be dangerous to humans, animals, and other living organisms. Therefore, it requires considerable attention to remove them from industrial wastewater before being discharged to the environment. In this study, we synthesized nanozeolite-X (NX) via the hydrothermal crystallization method and utilized it as an adsorbent to remove Methyl Orange (MO), Reactive Blue 15 (RB-15), and Reactive Red 239 (RR-239) dyes simultaneously by an ultrasound-assisted method. The morphology and structure of NX were investigated through scanning electron microscopy (SEM), X-ray diffraction (XRD) and Brunauer–Emmett–Teller (BET) techniques. The effects of independent variables on the adsorption efficiency of dyes mixture were examined with the help of the response surface method (RSM). The second-order quadratic model was used to predict the response of each dye. The importance of various independent variables and their interactions were checked through analysis of variance (R 2 greater than 0.95 and P less than 0.05). The optimization of process variables for maximum absorption by NX was carried out using a quadratic model. According to the optimal conditions from RSM, the best function of the method in 0.4 g NX, pH 6, 5 mg L2 −1, obtained from a mixture of three dyes, and when they were exposed to ultrasound for 1200 s. NX could simultaneously remove more than 93% of the dye mixture in a short time under favorable conditions. Eventually, the local textile factory with the recovery of more than 82% was used to determine MO, RB-15, and RR-239 in water samples, successfully.