Adsorptive removal of Safranin-O dye from aqueous medium using coconut coir and its acid-treated forms: Adsorption study, scale-up design, MPR and GA-ANN modeling

被引:89
作者
Ghosh, Indrajit [1 ,2 ]
Kar, Sayanti [2 ]
Chatterjee, Tamasha [1 ,2 ]
Bar, Nirjhar [1 ,3 ]
Das, Sudip Kumar [1 ]
机构
[1] Univ Calcutta, Dept Chem Engn, 92 APC Rd, Kolkata 700009, India
[2] Asutosh Coll, Dept Environm Sci, 92 SP Mukherjee Rd, Kolkata 700026, India
[3] St James Sch, 165 AJC Bose Rd, Kolkata 700014, India
来源
SUSTAINABLE CHEMISTRY AND PHARMACY | 2021年 / 19卷
关键词
Adsorption; Bioadsorbent; Coconut coir; Safranin-O dye; GA-ANN; ACTIVATED CARBON; MALACHITE-GREEN; METAL-IONS; KINETICS; EQUILIBRIUM; THERMODYNAMICS; ADSORBENT; ISOTHERM; SURFACE; POWDER;
D O I
10.1016/j.scp.2021.100374
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Coconut coir (Cocos nucifera L.), particle size 300-850 tint, has been identified as an adsorbent for safranin-O dye removal from aqueous solution. Bioadsorption efficiency is improved by modifying untreated coconut coir (UCC) with 1 N phosphoric acid (PCC) and 1 N sulphuric acid (SCC). The acid treatment enhances the surface area of adsorbents and accelerates more dye uptake. The adsorption process is optimized by varying the physicochemical conditions like initial pH, adsorbent amount, contact time, initial dye concentration, and temperatures. The adsorption process's optimum pH is 4, 6, and 6, respectively, using UCC, PCC, and SCC adsorbents. In contrast, more than 98% of dye removal has been observed at the lower concentration of dyes up to 200 mg/L at 303 K. Maximum dye removal is possible at 75 mg/L of dye concentration. UCC, PCC, and SCC adsorbents' adsorption capacity is 80.32 mg/g, 96.81 mg/g, and 89.53 mg/g, respectively, at 303 K temperature. Langmuir and Tempkin model and the pseudo-second-order model are the best-fitted models for isotherm and kinetic study. Thermodynamic parameters indicate the adsorption process is viable, spontaneous, exothermic. 75% glacial acetic acid is the most potent solvent for safranin-O dye extraction from dye loaded biomass. The functional groups and different interactions are identified to establish the adsorption mechanism. The PCC adsorbent has been used for scale-up design. The multiple polynomial regression (MPR) successfully predicts the dye removal efficiency for individual adsorbents. The modeling of the Genetic Algorithm has also been done successfully.
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页数:23
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