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Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass

(1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determ...

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Published in:Separations 2023-04, Vol.10 (5), p.279
Main Authors: Zaharia, Carmen, Suteu, Daniela
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description (1) Background: This research work proposes the ‘passive’ biosorption study of Orange 16 dye onto residual Lactobacillus sp. biomass immobilized in sodium alginate using an experimental modeling design. (2) Methods: It was applied the batch biosorption methodology was applied with a real-time determination of residual dye content and biosorption efficiency (Y, %). Empirical planning was used based on an active central composite rotatable design of 23 order in which three independent variables were considered, including residual biomass concentration (2.92–13.00 g/L, mean granule size of 0.7–1.0 mm) (X1), temperature (8–42 °C) (X2) and biosorption time (4–24 h) (X3), in association with the considered dependent variable (Y). The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution.
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The proposed mathematical model was validated using a few statistical tools. (3) Results: The batch biosorption experiments were permitted to propose a mathematical model considering a basic value and variation step for each selected independent variable and then to validate it. The maximum experimental dye removal was 79.98% when 11 g/L immobilized biosorbent was applied in an 89.76 mg/L dye-containing solution at 15 °C and 20 h. The significance of each independent variable on dye removal was investigated and, most importantly, explained. (4) Conclusions: The residual Lactobacillus sp. biomass can be applied as an alternative biosorbent for anionic dye removal from an aqueous solution.</description><identifier>ISSN: 2297-8739</identifier><identifier>EISSN: 2297-8739</identifier><identifier>DOI: 10.3390/separations10050279</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>active central composite rotatable design ; Adsorption ; anionic Orange 16 reactive dye ; Aqueous solutions ; Biomass ; biosorption ; Dependent variables ; dye removal ; Dyes ; Efficiency ; empirical modeling ; Equilibrium ; immobilized residual Lactobacillus sp. biomass in sodium alginate ; Independent variables ; Laboratories ; Mathematical models ; Optimization ; Pollutants ; Sodium ; Sodium alginate</subject><ispartof>Separations, 2023-04, Vol.10 (5), p.279</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. 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subjects active central composite rotatable design
Adsorption
anionic Orange 16 reactive dye
Aqueous solutions
Biomass
biosorption
Dependent variables
dye removal
Dyes
Efficiency
empirical modeling
Equilibrium
immobilized residual Lactobacillus sp. biomass in sodium alginate
Independent variables
Laboratories
Mathematical models
Optimization
Pollutants
Sodium
Sodium alginate
title Empirical Modeling by Active Central Composite Rotatable Design: Orange 16 Dye Biosorption onto Biosorbents Based on Residual Bacterial Lactobacillus sp. Biomass
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