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Utilization of (Modified-) Ground Hazelnut Shells for Adsorption of Azo-metal Toxic Dyes: Empirical and ANFIS Modeling and Optimization


Paper Type 
Contributed Paper
Title 
Utilization of (Modified-) Ground Hazelnut Shells for Adsorption of Azo-metal Toxic Dyes: Empirical and ANFIS Modeling and Optimization
Author 
Musa Buyukada, Sibel Uzuner and Fatih Evrendilek
Email 
musabuyukada@ibu.edu.tr
Abstract:
Identification of both significantly influential predictors by Plackett-Burman and their interaction terms by Box-Behnken was carried out to quantify color removal efficiency of chemically modified ground hazelnut shells as a novel adsorbent for two common 
textile dyes of Procion blue H-EGN 125 (PB) and Sandolan brilliant red N-BG 125 (SBR). Color removal efficiency mechanism was characterized using a Fourier transform infra-red spectrometer, an X-ray diffractometer, a scanning electron microscopy-energy dispersive spectroscopy. Multiple (non-)linear regression (M(N)LR) models and adaptive neuro fuzzy inference systems (ANFIS) were comparatively used to model color removal efficiency. 
The dilute acid treatment led to the maximum biosorption capacities (qmax) of 59.67 mgืg-1 for PB and 63.62 mgืg-1 for SBR. Additionally, the maximum color removal efficiency of 98.6% for PB and 99.7% for SBR was achieved under 50 ฐC, 10 mgืL-1  IDC, 5 g BA, and 
90 min RT. Futhermore, the minimum color removal efficiency of 13.5% for PB and 15.2% for SBR was obtained under 25 ฐC, 50 mgืL-1  IDC, 1 g BA, and 30 min RT. Independent validation results showed that the best-fit MNLR and ANFIS models performed similarly. Adsorption mechanism of both dyes were described by Freundlich isotherm better than the other models. 
Start & End Page 
342 - 354
Received Date 
2016-12-27
Revised Date 
Accepted Date 
2017-02-21
Full Text 
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Keyword 
Hazelnut shell, ANFIS, Box-Behnken design, Data-driven modeling, Plackett-Burman design
Volume 
Vol.45 No.1 (January 2018)
DOI 
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