Process optimization studies of Congo red dye adsorption onto cashew nut shell using response surface methodology

Ponnusamy, Senthil Kumar; Ramalingam, Subramanian

doi:10.1186/2228-5547-4-17

Cited by 66 publications

(32 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be attributed to the decrease in the surface activity suggesting that adsorption between RO 13 dye on the dead biomass of R. arrhizus was an exothermic process [36]. A decrease in the biosorption of RO 13 dye at higher temperature can be related to the increasing Brownian movement of molecules in solution leading to the breaking of existing intermolecular hydrogen bonding between RO 13 dye and the biosorbent [37].…”

Section: Resultsmentioning

confidence: 98%

Statistical optimization of biosorption of Reactive Orange 13 by dead biomass of Rhizopus arrhizus NCIM 997 using response surface methodology

Saraf¹,

Vaidya²

2015

Int J Ind Chem

View full text Add to dashboard Cite

Background Increasing environmental awareness is forcing waste creators to consider new options such as biosorption for the disposal of colored wastewaters. Due to prohibitive costs of commercially available activated carbon, low-cost biosorbents with high adsorption capacities have gained increasing attention. The present investigation deals with utilization of a low-cost, fungal biosorbent of Rhizopus arrhizus NCIM 997 and optimization of conditions for the removal of Reactive Orange 13 dye from an aqueous solution using sequential statistically designed experiments.Results Plackett-Burman design with six independent variables (pH, temperature, biosorbent dosage, dye concentration, contact time and speed of agitation) was used to identify the most important factors influencing dye biosorption. Path of steepest ascent and central composite design were used to move toward the vicinity of the optimum operating conditions and to determine the optimum levels of the variables, respectively. The maximum biosorption capacity (133.63 mg/g) was obtained under the following conditions: pH 2.0, dye concentration 114 mg/L, biosorbent dosage 0.8 g/L and speed of agitation 85 rpm. Validation experiments and application of artificial neural network showed excellent correlation between predicted and experimental values. Conclusions Response surface methodology using central composite design was employed at the specified combinations of four independent significant factors identified by Plackett-Burman design. The fitted model was used to arrive at the best operating conditions to achieve a maximum response. Sequential optimization was successfully used to increase biosorption by 49.04 %. The study indicated that the fungal biosorbent was an effective and economical alternative for the removal of Reactive Orange 13 dye.

show abstract

Section: Resultsmentioning

confidence: 98%

Statistical optimization of biosorption of Reactive Orange 13 by dead biomass of Rhizopus arrhizus NCIM 997 using response surface methodology

Saraf¹,

Vaidya²

2015

Int J Ind Chem

View full text Add to dashboard Cite

show abstract

“…Dosage, contact time and temperature are three major factors governing the adsorption performance of biosorbents [17,18]. With CCD, these factors can be systematically optimized taken into account of their interaction effects.…”

Section: Resultsmentioning

confidence: 99%

“…CCD incorporates full or fractional factorial design with the centre and star points where each factor is mapped onto five-level allowing evaluation of the second-order response surface [12][13][14][15]. This design has been widely employed for process optimization involving dye removal [16][17][18], antibiotic production [19] and humic acid and heavy metal adsorption [20,21]. Cerino Cordova et al [22] conclude that it is necessary to study the interaction effects of various parameters on the optimal biosorption process.…”

Section: Introductionmentioning

confidence: 99%

Application of central composite design for optimization of the removal of humic substances using coconut copra

Lee

Krongchai

et al. 2015

Int J Ind Chem

View full text Add to dashboard Cite

Coconut copra is a potential biosorbent for removal of humic substances from peat swamp runoff. In this paper, response surface methodology was applied to evaluate the optimum conditions for removal of humic substances from peat swamp runoff using modified coconut copra. Batch adsorption experiments were conducted according to central composite design. Results show that the quadratic model is best fitted for predicting the removal efficiency with regression coefficients closer to 1 and a lower root mean square error. Dosage is found to have significant influence on the removal efficiency with p \ 0.05. Response surface models further identified the optimum dosage, contact time and temperature at 4.56 g modified coconut copra per 100 mL peat swamp runoff, 42.9 min and 56.8°C/329°K, respectively attaining the maximum removal efficiency of 88.19 %. The predicted removal efficiency was confirmed experimentally under the modelled optimum conditions; the removal efficiency attained (86.54 %) was in good agreement with the predicted value.

show abstract

“…In a full factorial experiment, both of the (−1) and (+1) levels of every factor are compared with each other and the effects of each of the factor levels on the response are investigated according to the levels of other factors. Doing so with the factorial planning of the experiments, it was possible to investigate simultaneously the effect of all the variables [19][20][21][22].…”

Section: Canadian Chemical Transactionsmentioning

confidence: 99%

Factorial Experimental Design for the Optimization of β-Naphthol Photocatalytic Degradation in TiO2 Aqueous Suspension

2014

Can Chem Trans

View full text Add to dashboard Cite

A factorial experimental design was developed to describe the photocatalytic degradation of β-naphthol in a circulating photo-reactor using TiO 2 aqueous suspension. The main and interaction factors studied were the initial concentration of β-naphthol, TiO 2 dosage, pH and circulation flow. The parameters coded as X 1 , X 2 , X 3 and X 4 , consecutively, and were investigated at two levels (−1 and +1). The effects of individual variables and their interaction effects for dependent variables, namely, photocatalytic degradation efficiency (%) were determined. The experimental results and statistical analysis show that increasing in the initial concentration of β-naphthol decreases the photocatalytic degradation efficiency whereas the increase of TiO 2 dosage, pH and the circulation flow have a positive effect on the photocatalytic degradation. The interaction between TiO 2 dosage and circulation flow was the most influencing interaction. However, the interaction between TiO 2 dosage and pH was the least influencing interactions. The variance analysis (ANOVA) was applied and the statistic data showed adequate model.

show abstract

Process optimization studies of Congo red dye adsorption onto cashew nut shell using response surface methodology

Cited by 66 publications

References 27 publications

Statistical optimization of biosorption of Reactive Orange 13 by dead biomass of Rhizopus arrhizus NCIM 997 using response surface methodology

Statistical optimization of biosorption of Reactive Orange 13 by dead biomass of Rhizopus arrhizus NCIM 997 using response surface methodology

Application of central composite design for optimization of the removal of humic substances using coconut copra

Factorial Experimental Design for the Optimization of β-Naphthol Photocatalytic Degradation in TiO2 Aqueous Suspension

Contact Info

Product

Resources

About