Use of Response Surface Methodology for the Biodegradation of Textile Industrial Effluents by Coniophora puteana IEBL-1

Optimization of Chromium Removal by the Indigenous Bacterium Bacillus spp. REP02 Using the Response Surface Methodology

ISRN Microbiology ◽

10.5402/2011/951694 ◽

2011 ◽

Vol 2011 ◽

pp. 1-9 ◽

Cited By ~ 10

Author(s):

C. K. Venil ◽

V. Mohan ◽

P. Lakshmanaperumalsamy ◽

M. B. Yerima

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Yeast Extract ◽

Industrial Effluents ◽

Quadratic Model ◽

Coefficient Of Determination ◽

Indigenous Bacterium ◽

Bacillus Spp ◽

Chromium Electroplating ◽

Bacterium Bacillus

An indigenous bacterium, Bacillus REP02, was isolated from locally sourced chromium electroplating industrial effluents. Response surface methodology was employed to optimize the five critical medium parameters responsible for higher % Cr2+ removal by the bacterium Bacillus REP02. A three-level Box-Behnken factorial design was used to optimize K2HPO4, yeast extract, MgSO4, NH4NO3, and dextrose for Cr2+ removal. A coefficient of determination (R2) value (0.93), model F-value (3.92) and its low P-value (F<0.0008) along with lower value of coefficient of variation (5.39) indicated the fitness of response surface quadratic model during the present study. At optimum parameters of K2HPO4 (0.6 g L−1), yeast extract (5.5 g L−1), MgSO4 (0.04 g L−1), NH4NO3 (0.20 g L−1), and dextrose (12.50 g L−1), the model predicted 98.86% Cr2+ removal, and experimentally, 99.08% Cr2+ removal was found.

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Application of response surface methodology for color removing from dyeing effluent using de-oiled activated algal biomass

Bulletin of the National Research Centre ◽

10.1186/s42269-021-00542-w ◽

2021 ◽

Vol 45 (1) ◽

Author(s):

Samar A. El-Mekkawi ◽

Rehab A. Abdelghaffar ◽

Fatma Abdelghaffar ◽

S. A. Abo El-Enin

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Industrial Development ◽

Industrial Effluents ◽

Quadratic Model ◽

Activation Process ◽

Prime Concern ◽

Desirability Approach ◽

Dyeing Effluent

Abstract Background Conservation of the ecosystem is a prime concern of human communities. Industrial development should adopt this concern. Unfortunately, various related activities release lots of noxious materials concurrently with significant leakage of renewable resources. This work presents a new biosorbent activated de-oiled microalgae, Chlorella vulgaris, (AC) for biosorption of Acid Red 1 (AR1) from aqueous solution simulated to textile dyeing effluent. The biosorption characteristics of AC were explored as a function of the process parameters, namely pH, time, and initial dye concentration using response surface methodology (RSM). Results Optimization is carried out using the desirability approach of the process parameters for maximum dye removal%. The ANOVA analysis of the predicted quadratic model elucidated significant model terms with a regression coefficient value of 0.97, F value of 109.66, and adequate precision of 34.32 that emphasizes the applicability of the model to navigate the design space. The optimization depends on the priority of minimizing the time of the process to save energy and treating high concentrated effluent resulted in removal % up to 83.5%. The chemical structure and surface morphology of AC, and the dye-loaded biomass (AB) were characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray analysis (EDX), and transmission electron microscope (TEM). The activation process transforms the biomass surface into a regular and small homogeneous size that increases the surface area and ultimately enhances its adsorption capacity Conclusion The optimization of the process parameters simultaneously using RSM performs a high-accurate model which describes the relationship between the parameters and the response through minimum number of experiments. This study performed a step towards an integrated sustainable solution applicable for treating industrial effluents through a zero-waste process. Using the overloaded biomass is going into further studies as micronutrients for agricultural soil.

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