Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites

Shojaei, Siroos; Shojaei, Saeed; Band, Shahab S.; Farizhandi, Amir Abbas Kazemzadeh; Ghoroqi, Milad; Mosavi, Amir

doi:10.1038/s41598-021-95649-5

Cited by 79 publications

(37 citation statements)

References 67 publications

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“…The P-value for all models is less than 0.05, which means that the model and variables are statistically significant. In general, the higher the F-value and consequently the lower the P value of a variable, the greater the significance of the variable 30 , 31 . According to the above table, the coefficient of determination (R 2 ) for all three models is greater than 99.33% and is so close to one.…”

Section: Resultsmentioning

confidence: 99%

Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFe2O4 nanoparticles

Zhao

Baharinikoo

Farahani

et al. 2022

Sci Rep

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The presence of dyes and heavy metals in water sources as pollutants is harmful to human and animal health. Therefore, this study aimed to evaluate the efficacy of zinc ferrite (ZnFe2O4) nanoparticles (ZF-NPs) due to their outstanding properties including cost-effectiveness, availability, and applicability for removal of auramine O (AO), methylene blue (MB), and Cd (II). The effect of the main operating parameters such as AO concentration, MB concentration, Cd (II) concentration, adsorbent amount, solution pH, and sonication time was optimized by the response surface methodology (RSM). Optimal conditions were obtained at adsorbent amount of 0.25 g, pH = 6, sonication time of 15 min, and concentration of 15 mg L−1, and more than 91.56% were removed from all three analytes. The adsorption of AO, MB, and Cd (II) onto ZF-NPs followed pseudo-second-order kinetics and the equilibrium data fitted well with Langmuir isotherm. The maximum adsorption capacities of ZF-NPs for AO, MB and Cd (II) were as high as 201.29 mg g−1, 256.76 mg g−1 and 152.48 mg g−1, respectively. Also, the reuse of the adsorbent was investigated, and it was found that the adsorbent can be used for up to five cycles. Based on the results of interference studies, it was found that different ions do not have a significant effect on the removal of AO, MB, and Cd (II) in optimal conditions. The ZF-NPs was investigated successfully to remove AO, MB, and Cd (II) from environmental water samples. The results of this study showed that ZF-NPs can be used as a suitable adsorbent to remove AO, MB, and Cd (II) from aqueous solution.

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Section: Resultsmentioning

confidence: 99%

Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFe2O4 nanoparticles

Zhao

Baharinikoo

Farahani

et al. 2022

Sci Rep

Self Cite

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“…However, one of the study's limitations was the life cycle assessment, reclaimed materials, and life cycle cost analysis for design innovation [52][53][54][55]. As mentioned, case studies on the specific application domains would be essential for the validation of the real-life performance as earlier investigated in the case of pavements [56][57][58][59][60]. Nevertheless, using novel machine learning methods such as hybrids and ensembles would be essential for future research for improving the model performance [61,62].…”

Section: Sensitivity Of Parametersmentioning

confidence: 99%

Systematic Multiscale Models to Predict the Compressive Strength of Cement Paste as a Function of Microsilica and Nanosilica Contents, Water/Cement Ratio, and Curing Ages

2022

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Sustainable construction requires high-strength cement materials that additives with silica content could provide the requirements as well. In this study, the effect of the micro and nano-size of silica on the compressive strength of cement paste using different mathematical approaches is investigated. This study compares the strength of preferentially replaced cement pastes with microsilica (MS) and nanosilica (NS) incorporation by proposing several mathematical models. In this study, 205 data were extracted from the literature and analyzed. The modeling processes considered the most significant variables as input variables that influence the compression strength, such as curing time, which ranged between 3 and 90 days, the water-cement ratio, which varied between 0.4 and 0.85, and NS ranged between 0 and 15%. MS ranged between 0 and 40% based on the weight of cement. In this process, the compressive strength of cement paste modified with NS and MS was modeled using four different models, including the Linear Regression Model (LR), Nonlinear Model (NLR), Multi-Logistic Regression Model (MLR), and artificial neural network (ANN). The efficiency of the suggested models was evaluated using different statistical assessments, such as the Root Mean Squared Error (RMES), the Mean Absolute Error (MAE), Scatter Index (SI), Objective value (OBJ), and coefficient of determination (R2). The findings revealed that the ANN model conducted better performance for predicting compressive strength for cement paste than the other models based on the statistical assessment. In addition, based on the statistical assessment of the sensitivity of parameters, NS had more of an effect on the compressive strength of cement paste, with 6.3% more than MS.

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“…The conventional optimization approach depends upon the OVAT, wherever optimum conditions were elaborated through changing one variable while all other parameters are fixed. Once the optimum level of this variable is attained, another variable is evaluated in the same manner (Shojaei et al 2021). The OVAT strategy is straight forward, and many studies rely on this strategy for optimizing different nutritional and physical parameters for BC production, as indicated in Table 2.…”

Section: Conventional and Statistical Optimization Strategies For Bac...mentioning

confidence: 99%

Recent advances in bacterial cellulose: a low-cost effective production media, optimization strategies and applications

et al. 2022

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Bacterial cellulose (BC), a promising polysaccharide of microbial origin, is usually produced through synthetic (chemically defined) or natural media comprising of various environmental wastes (with exact composition unknown), through low-cost and readily available means. Various agricultural, industrial, and food processing wastes have been explored for sustainable BC production. Both conventional (using one variable at a time) and statistical approaches have been used for BC optimization, either during the static fermentation to obtain BC membranes (pellicle) or agitated fermentation that yields suspended fibers (pellets). Multiple studies have addressed BC production, however, the strategies applied in utilizing various wastes for BC production have not been fully covered. The present study reviews the nutritional requirements for maximal BC production including different optimization strategies for the cultivation conditions. Furthermore, commonly-used applications of BC, in various fields, including recent developments, and our current understanding have also been summarized.

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Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites

Cited by 79 publications

References 67 publications

Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFe2O4 nanoparticles

Experimental modelling studies on the removal of dyes and heavy metal ions using ZnFe2O4 nanoparticles

Systematic Multiscale Models to Predict the Compressive Strength of Cement Paste as a Function of Microsilica and Nanosilica Contents, Water/Cement Ratio, and Curing Ages

Recent advances in bacterial cellulose: a low-cost effective production media, optimization strategies and applications

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