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- MakaleYalnız künye2024Scopus SJRQ2Process optimization and modeling of Pb(II) ions adsorption on a new and reusable biocomposite material using experimental design approach
Ince, Muharrem; Kaplan Ince, Olcay; Alp Kavlo, Hevidar
This research paper aimed to establish the optimal conditions for lead (Pb(II)) ions from industrial wastewater (IW) using response surface methodology and central composite design (CCD) approach. A fixed-bed column study was designed by using a novel and reusable biocomposite material, Amanita vaginata (A. vaginata) immobilized on Amberlite XAD-4 resin (A&XAD-4@AV), to find out biosorption behavior of Pb(II) ions. Various experimental variables such as optimum pH value, biocomposite material amount, flow rate, and Pb(II) ions initial concentration were investigated, which significantly affected the Pb(II) ions removal efficiency. The maximum Pb(II) removal efficiency of A&XAD-4@AV biocomposite material was determined as 11.2 mg g−1 under optimum conditions. The reusability of A&XAD-4@AV biocomposite material was found to be suitable. For checking model adequacy, a regression model was derived using CCD to predict the responses and analysis of variance (ANOVA) and lack of fit test was performed. It was observed that the quadratic model, which was controlled and proposed, originated from experimental design data. The ANOVA showed a high coefficient of determination (R2 = 0.9896, R2Adj = 0.9800, R2Pred = 0.9633). Finally, developed and optimized method was applied effectively to wastewater for determining Pb(II) ions levels. The current study indicated that the prepared A&XAD-4@AV is an efficient material to remove of Pb(II) ions from IW.
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İncele - MakaleAçık Erişim2022Scopus SJRQ3Adsorptive removal of nickel ions from wastewater by synthesized a novel biocomposite material and process optimization by response surface methodology
Ince, Muharrem; Ince, Olcay Kaplan; Alp, Hevidar
In the present study, a fixed-bed column study was performed using a novel biocomposite mate-rial, Amanita vaginata immobilized on Amberlite XAD-4 resin, to find out the adsorption behavior of nickel (Ni2+) ions from industrial wastewater. The influence of some important operating conditions including pH (3–7), biocomposite material amount (150–250 mg (XAD-4:Amanita vaginata, 5:1)) influent flow rate (4–8 mL min–1) besides Ni2+ ions initial concentration (20–40 mg L–1) on the uptake of Ni2+ solution were also optimized using a synthetic water solution. A central composite design combined with response surface methodology was utilized to maximize Ni2+ ions removal using A. vaginata immobilized on Amberlite XAD-4 resin as a biocomposite material in a column biosorption process. A mathematical model was derived from the central composite design approach for predicting responses and analysis of variance. Also, for checking model adequacy a lack of fit test was carried out. It was determined that the checked and proposed quadratic model was derived from the experimental design data. The biocomposite material adsorption capacity was calculated as 6.28 mg g–1. A high coefficient of determination (R2 = 0.9887) was presented by analysis of variance. Results confirmed that the amount of adsorbed Ni2+ amount did not change with the increase of the flow rate ratio and dose when the initial concentration of Ni2+ ions increased. The maximum adsorp-tion capacity of biocomposite material was achieved at 6.9 pH, 150.1 mg of biocomposite material amount, 7.8 mL min–1 of solution flow rate, and 39.7 mg L–1 of Ni2+ ions initial concentration. Finally, the developed method was applied to industrial wastewater to determine Ni2+ ions concentrations.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2021Scopus SJRQ3A novel macrofungus for the biosorption of hazardous dye and its reuse potential: Experimental design approach using response surface methodology
Ince, Olcay Kaplan; Alp, Hevidar; Ince, Muharrem; Onal, Ali
In the present study, a novel biosorbent, namely Agaricus campestris, was used for the removal of Methylene Blue (MB) from an aqueous medium. The biosorbent was characterized using fourier-transform infrared spectrometer spectra, scanning electron microscopy-energy dispersive X-ray, and thermogravimetric analysis. The influence of important process parameters including pH (4–7), temperature (25°C–35°C), contact time (15–25 min), and biosorbent amount (40–80 mg) on the uptake of MB solution were also optimized, which significantly affected the removal efficiency of MB. A central composite design (CCD) combined with response surface modeling (RSM) was carried out to maximize MB removal by A. campestris for the adsorption process. A regression model was derived using RSM to predict the responses and analysis of variance (ANOVA), and to check model adequacy lack of fit test was used. The A. campestris adsorption capacity was determined as 24.2 mg g–1. The ANOVA showed a high coefficient of determination (R2 = 0.9987). This study clearly revealed that RSM was one of the most effective and appropriate method for the optimization of operating conditions. The possibility of reusing A. campestris was also investigated and, as a result, it was found quite possible and showed high performance in the recovery of MB.
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