Statistical optimization of textile dye effluent adsorption by Gracilaria edulis using Plackett-Burman design and response surface methodology

Abstract

Statistical optimization models were employed to optimize the adsorption of textile dye effluent onto Gracilaria edulis . Significant factors responsible for adsorption were determined using Plackett-Burman design (PBD) and were time, pH, and dye concentration. Box-Behnken (BB) design was used for further optimization. The predicted and the experimental values were found to be in good agreement, the coefficient of determination value 0.9935 and adjusted coefficient of determination value 0.9818 indicated that the model was significant. The results of predicted response optimization showed that maximum decolorization could be attained with time 131.51 min, pH 7.48, and dye concentration 23.13%. The model was validated experimentally with 92.65% decolorization efficiency. The experiment was confirmed using Fourier transform infrared spectroscopy (FTIR), high-resolution scanning electron microscope coupled with energy dispersive X-ray analysis (HR-SEM-EDX), X-ray diffraction spectrometry (XRD) and Brunauer-Emmett-Teller (BET) surface area and pore size analysis techniques. Desorption studies at various pH (2–14) were performed and a maximum of 23% of the dye was recovered from the adsorbed biomass.

Optimization of a cationic dye desorption from a loaded-lignocellulosic biomass: factorial design experiments and investigation of mechanisms

“…For all sources, the F -values were high in the exception of the coefficients corresponding to 2-way and 3-way interactions. According to Venkataraghavan et al [45], high values of Fischer's test coefficients reflect important significance of the regression model. In the current case, the variation of only one parameter presents the highest statistical significance (F = 140.92, p < 0.05), while the simultaneous variation of more than one parameter seems to be less significant (F = 26.88 and 6.38 for 2-way and 3-way interactions, respectively; p < 0.05).…”

Multi-Strain Tropical Bacillus spp. as a Potential Probiotic Biocontrol Agent for Large-Scale Enhancement of Mariculture Water Quality

“…Plackett-Burman design, an effective method for screening significant factors, involves a large number of factors affecting the process and relatively few runs ( Asfaram et al, 2016 ; Venkataraghavan et al, 2020 ). In this part of the study, Plackett–Burman design was carried out to investigate the effect degrees of independent variables ( B. licheniformis XCG-1, B. flexus NS-2, B. flexus QG-3, B. flexus NS-4, B. licheniformis XCG-5, B. licheniformis XCG-6, B. flexus XCG-7, and B. flexus XCG-8) on COD removal efficiency in the process of artificial feed wastewater purification, and to screen some important Bacillus spp.…”

“…such as water eutrophication and atmospheric pollution due to the volatilization of ammonia and hydrogen sulfide Chen, 2001, 2003;Kuhn et al, 2010;Hai, 2015;Guo et al, 2016;Li et al, 2020;Mariane De Morais et al, 2020;Wei et al, 2021;Xu et al, 2021). Reportedly, the resistance of harmful pathogenic microorganisms in aquaculture was caused by the abuse of antibiotics and chemicals, and the drug residues from aquatic products posed serious threats to human health through stepwise enrichment of food chains (Vaseeharan and Ramasamy, 2003;Hai, 2015;Paopradit et al, 2021;Wei et al, 2021). Therefore, exploring a harmless and recyclable biotechnology for wastewater treatment is necessary to ensure the sustainable development of aquaculture and for environmental protection.…”

“…Furthermore, with the enhancement of awareness of quality and safety of aquatic products, the growing concern for antibiotic-resistant microorganisms has led to strategies of alternative disease prevention methods, such as the application of non-pathogenic bacteria as potential alternative biocontrol agents (Vaseeharan and Ramasamy, 2003;Dash et al, 2017;Wei et al, 2021). Microorganisms such as potential probiotic biocontrol candidates based on the principle of competitive exclusion and immune stimulants play critical roles in preventing diseases, improving water quality, increasing the quantity and quality of aquaculture animals, and serving as potential food sources for aquatic animals (Moriarty, 1997;Blancheton et al, 2013;Dash et al, 2017;Hucheng et al, 2020;Wei et al, 2021).…”

L-Ascorbic Acid-g-Polyaniline Mesoporous Silica Nanocomposite for Efficient Removal of Crystal Violet: A Batch and Fixed Bed Breakthrough Studies

“…The response surface methodology (RSM) is recognized worldwide as the best statistical and mathematical tool for optimizing reaction parameters with good precession and high desirability values [36]. Under the RSM, the subcategory is the Box-Behnken design (BBD), which optimizes the number of experiments to be carried out to ascertain the possible interactions between the parameters studied and their effects on the removal of CV [37,38]. The goal of the current study was to find the most efficient method for the removal of CV in wastewater by using synthesized AS-g-PAni@MS nanocomposites.…”