Application of response surface methodology for optimization of zinc elimination from a polluted soil using tartaric acid

Alman-Abad, Zahra Sheikhi; Pirkharrati, Hossein; Asadzadeh, Farrokh; Maleki-Kakelar, Mahdi

doi:10.1177/0263617420916592

Cited by 18 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Fisher variation ratio ( F -value), probability of error value ( p -value), lack of fit and adequate precision were all evidence of ANOVA. Generally, the p -value (probability of error value) less than 0.05 suggested that terms of the model were significant. , The high F -value of 31.11 and the p -value below 0.0001 implied that the model was significant and adequate in the washing process . Moreover, the small value of coefficient of variation (CV, %) suggested that the acceptable variation and reproducibility of the model for the further prediction of Zn removal within the range of research variables. , Additionally, it was desirable that an appropriate regression model had a greater adequate precision (>4.0), which was used for representing the signal-to-noise ratio .…”

Section: Resultsmentioning

confidence: 99%

Response Surface Methodology for the Optimization of Zn-Contaminated Soil Remediation by Soil Washing with Water-Soluble Chitosan

Niu

Shen

et al. 2022

ACS Omega

View full text Add to dashboard Cite

Soil washing is an important method for the remediation of contaminated soil. This research presents the optimization of soil washing conditions in the remediation of Zn-contaminated soils with water-soluble chitosan (WSCS). Response surface methodology (RSM) was used to optimized the washing conditions after single factor experiments. The central composite design (CCD) with three factors and five levels was applied to the optimization of the removal efficiency of Zn from soils, and WSCS concentration, pH value, and washing time were evaluated variables in the washing process. Results indicated that the pH value (p < 0.0001) was the most significant factor which mainly affected the distribution and content of metal species in aqueous solution, ion exchange and adsorption/desorption behavior of metals, solubility of chelating agent, as well as readsorption of metal complexes. The optimal conditions for the Zn removal from soils were WSCS concentration of 1.5%, pH of 3.3, and washing time of 72 min. The removal efficiency could reach 65.4% under the optimized conditions, which was close to the predicted value of 68.3% by the response surface method. Therefore, it could be found that the response surface methodology was an effective method to determine the optimal conditions for the removal of metals from contaminated soils by soil washing.

show abstract

Section: Resultsmentioning

confidence: 99%

Response Surface Methodology for the Optimization of Zn-Contaminated Soil Remediation by Soil Washing with Water-Soluble Chitosan

Niu

Shen

et al. 2022

ACS Omega

View full text Add to dashboard Cite

show abstract

“…The linear model terms (A, B, C), the interaction term AC and quadratic terms C 2 are statistically significant (p < 0.05). This is to say that the number of experiments carried out was sufficient to illustrate the influence of the operating variables on the amount of p-NA adsorbed from an aqueous solution [23][24][25] . The plot of actual against predicted response values of p-NA removal onto TiO 2 -FSAC is given in Figure 3.…”

Section: Anova Resultsmentioning

confidence: 99%

Optimization of p-Nitroaniline Adsorption from Aqueous Medium by TiO2-Flamboyant Seeds Activated Carbon Composite

2022

JJC

View full text Add to dashboard Cite

Titanium (IV) oxide-flamboyant seeds activated carbon (TiO2-FSAC) composite was studied as a promising adsorbent for p-nitroaniline (p-NA) removal from aqueous media using batch technique. The surface characteristics of the composite were determined by Fourier Transform Infrared Spectroscopy, Scanning Electron Microscopy, Energy Dispersed X-ray Spectroscopy and Brunauer–Emmett–Teller surface area analysis. The results showed that TiO2-FSAC is highly porous with a surface area of 601.77 m2/g and pore diameter in the mesoporous region. Box-Behnken design (BBD) under Response Surface Methodology (RSM) was employed for the optimization of four operating parameters: initial p-NA concentration, pH, adsorbent dosage and time. The results revealed that the amount of p-NA adsorbed increased with an increase in initial p-NA concentration, low pH, and low adsorbent dosage and was not affected by time in the investigated range. The correlation between p-NA adsorption by TiO2-FSAC and the process variables was sufficiently established by the quadratic model with a high R2 value (0.973), which is in agreement with adjusted R2 (0.945). The optimum amount of p-NA adsorbed was 45.0 mg/g accomplished at Co = 300 mg/L, pH 2, 0.1 g adsorbent dosage and 362.5 min time.

show abstract

“…One of the RSMs, central composite design (CCD), is the most widely used statistical method based on the multivariate nonlinear model for the optimization of process variables, and was applied to determine the regression model equations for the prediction. For multivariate optimization, CCD offers the advantage of enabling effective and time-saving optimization by reducing the total number of experimental runs required over the conventional one-factor-at-a-time method [ 19 ].…”

Section: Resultsmentioning

confidence: 99%

Process Development for the Detoxification of Fermentation Inhibitors from Acid Pretreated Microalgae Hydrolysate

et al. 2021

View full text Add to dashboard Cite

The aim of this study was to remove 5-hydroxymethyl furfural (5-HMF) and furfural, known as fermentation inhibitors, in acid pretreated hydrolysates (APH) obtained from Scenedesmus obliquus using activated carbon. Microwave-assisted pretreatment was used to produce APH containing glucose, xylose, and fermentation inhibitors (5-HMF, furfural). The response surface methodology was applied to optimize key detoxification variables such as temperature (16.5–58.5 °C), time (0.5–5.5 h), and solid–liquid (S-L) ratio of activated carbon (0.6–7.4 w/v%). Three variables showed significant effects on the removal of fermentation inhibitors. The optimum detoxification conditions with the maximum removal of fermentation inhibitors and the minimum loss of sugars (glucose and xylose) were as follows: temperature of 36.6 °C, extraction time of 3.86 h, and S-L ratio of 3.3 w/v%. Under these conditions, removal of 5-HMF, furfural, and sugars were 71.6, 83.1, and 2.44%, respectively, which agreed closely with the predicted values. When the APH and detoxified APH were used for ethanol fermentation by S. cerevisiae, the ethanol produced was 38.5% and 84.5% of the theoretical yields, respectively, which confirmed that detoxification using activated carbon was effective in removing fermentation inhibitors and increasing fermentation yield without significant removal of fermentable sugars.

show abstract

Application of response surface methodology for optimization of zinc elimination from a polluted soil using tartaric acid

Cited by 18 publications

References 32 publications

Response Surface Methodology for the Optimization of Zn-Contaminated Soil Remediation by Soil Washing with Water-Soluble Chitosan

Response Surface Methodology for the Optimization of Zn-Contaminated Soil Remediation by Soil Washing with Water-Soluble Chitosan

Optimization of p-Nitroaniline Adsorption from Aqueous Medium by TiO2-Flamboyant Seeds Activated Carbon Composite

Process Development for the Detoxification of Fermentation Inhibitors from Acid Pretreated Microalgae Hydrolysate

Contact Info

Product

Resources

About