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Ali Daneshfar

Academic rank: Professor
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Education: PhD.
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Faculty: Basic Science
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Research

Title
Experimental design based response surface methodology optimization of ultrasonic assisted adsorption of safaranin O by tin sulfide nanoparticle loaded on activated carbon
Type
JournalPaper
Keywords
Central composite design Desirability function Response surface methodology Safranine O Tin sulfide nanoparticle loaded activated carbon Ultrasound assisted adsorption
Year
2013
Journal Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
DOI
Researchers M.Roostaa ، M.Ghaedi ، Ali Daneshfar ، Reza Sahraei

Abstract

In this research, the adsorption rate of safranine O (SO) onto tin sulfide nanoparticle loaded on activated carbon (SnS-NPAC) was accelerated by the ultrasound. SnS-NP-AC was characterized by different techniques such as SEM, XRD and UV–Vis measurements. The present results confirm that the ultrasound assisted adsorption method has remarkable ability to improve the adsorption efficiency. The influence of parameters such as the sonication time, adsorbent dosage, pH and initial SO concentration was examined and evaluated by central composite design (CCD) combined with response surface methodology (RSM) and desirability function (DF). Conducting adsorption experiments at optimal conditions set as 4 min of sonication time, 0.024 g of adsorbent, pH 7 and 18 mg L−1 SO make admit to achieve high removal percentage (98%) and high adsorption capacity (50.25 mg g−1). A good agreement between experimental and predicted data in this study was observed. The experimental equilibrium data fitting to Langmuir, Freundlich, Tempkin and Dubinin–Radushkevich models show that the Langmuir model is a good and suitable model for evaluation and the actual behavior of adsorption. Kinetic evaluation of experimental data showed that the adsorption processes followed well pseudo-second-order and intraparticle diffusion models.