Response surface optimization of the removal of nickel from aqueous solution by cone biomass of Pinus sylvestris

Can, Mevra Yalvac; Kaya, Yusuf; Algur, Ömer Faruk

doi:10.1016/j.biortech.2005.07.017

Cited by 159 publications

(59 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A fairly high value of R 2 (0.983) suggests that most of the data variation was explained by the regression model. Moreover, a closely high value of the adjusted regression coefficient (R adj 2 = 0.954) indicates the capability of the developed model to satisfactorily describe the system behaviour within the studied range of operating parameters, as similarly reported by others (Can et al 2006). According to the literature, R adj 2 corrects R 2 for the sample size and the number of terms in the model; for example, many terms in the model and small sample size might cause that R adj 2 \ \ R 2 , which is not obtained in our study.…”

Section: Statistical Evaluationsupporting

confidence: 82%

Nitric oxide absorption by hydrogen peroxide in airlift reactor: a study using response surface methodology

Bhanarkar

Gupta

Biniwale

et al. 2013

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Absorption of nitric oxide from nitric oxide /air mixture in hydrogen peroxide solution has been studied on bench scale internal loop airlift reactor. The objective of this investigation was to study the performance of nitric oxide absorption in hydrogen peroxide solution in the airlift reactor and to explore/determine the optimum conditions using response surface methodology. A BoxBehnken model has been employed as an experimental design. The effect of three independent variables-namely nitric oxide gas velocity, 0.02-0.11 m/s; nitric oxide gas concentration, 300-3,000 ppm and hydrogen peroxide concentration, 0.25-2.5 %-has been studied on the absorption of nitric oxide in aqueous hydrogen peroxide in the semi-batch mode of experiments. The optimal conditions for parameters were found to be nitric oxide gas velocity, 0.02 m/s; nitric oxide gas concentration, 2,246 ppm and hydrogen peroxide concentration, 2.1 %. Under these conditions, the experimental nitric oxide absorption efficiency was observed to be *65 %. The proposed model equation using response surface methodology has shown good agreement with the experimental data, with a correlation coefficient (R 2 ) of 0.983. The results showed that optimised conditions could be used for the efficient absorption of nitric oxide in the flue gas emanating from industries.

show abstract

Section: Statistical Evaluationsupporting

confidence: 82%

Nitric oxide absorption by hydrogen peroxide in airlift reactor: a study using response surface methodology

Bhanarkar

Gupta

Biniwale

et al. 2013

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…RSM aims at approximating f by a suitable polynomial in some region of the independent process variables. A higher-order polynomial, such as quadratic model may be expressed as (Can et al 2006):…”

Section: Response Surface Modellingmentioning

confidence: 99%

Optimizing adsorption of fluoride from water by modified banana peel dust using response surface modelling approach

Bhaumik

Mondal

2014

Appl Water Sci

View full text Add to dashboard Cite

The present work highlighted the effective application of banana peel dust (BPD) for removal of fluoride (F -) from aqueous solution. The effects of operating parameters such as pH, initial concentration, adsorbent dose, contact time, agitation speed and temperature were analysed using response surface methodology. The significance of independent variables and their interactions were tested by the analysis of variance and t test statistics. Experimental results revealed that BPD has higher Fadsorption capacity (17.43, 26.31 and 39.5 mg/g). Fluoride adsorption kinetics followed pseudo-second-order model with high correlation of coefficient value (0.998). On the other hand, thermodynamic data suggest that adsorption is favoured at lower temperature, exothermic in nature and enthalpy driven. The adsorbents were characterised through scanning electron microscope, Fourier transform infrared spectroscopy and point of zero charges (pH ZPC ) ranges from pH 6.2-8.2. Finally, error analysis clearly demonstrates that all three adsorbents are well fitted with Langmuir isotherm compared to the other isotherm models. The reusable properties of the material support further development for commercial application purpose.

show abstract

“…Extensions of RSM are possible where the error structures are correlated, or heteroscedastic, through the notion of slope rotatability, which requires evaluation of variance of a predicted response at a point that remains constant with all points equidistant from the design center. In the plant sciences, RSM has been used for the optimization of production of secondary metabolites or enzymatic reactions (Gorret et al 2004;Can et al 2006). The technique is also utilized for the optimization of plant growth medium (Omar et al 2004;Niedz and Evens 2007) and as an alternate statistical method for in vitro analysis (Ibanez et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Use of response surface methodology for optimization of a shoot regeneration protocol in Basilicum polystachyon

Chakraborty

Bandyopadhyay

Bandopadhyay

et al. 2010

In Vitro Cell.Dev.Biol.-Plant

View full text Add to dashboard Cite

Response surface methodology (RSM) is a collection of techniques useful for analyzing and optimizing problems where several explanatory covariates influence a response. Although this technique is extensively used in various mixture experiments, its application in standardization of micropropagation protocols is limited. The theoretical developments of RSM are usually concerned with continuous data; hence, linear model theory becomes relevant. In plant tissue culture, in which the response variables are mostly numerical data, the development of RSM in a generalized linear model (GLM) setup is of interest from both a theoretical as well as an application perspective. In the present paper, RSM, as applicable for count data, has been used for modeling, analyzing, and optimizing in vitro regeneration of multiple shoots of Basilicum polystachyon, an important medicinal plant. The specific issues addressed herein are the determination of the optimum concentration of plant growth regulators (i.e., the range of variation in dosages of each covariate) at which the regeneration potential of shoot tip explants is expected to increase, selection of the appropriate growth function (response function) of shoot tip, and determination of the optimum levels of the explanatory variables (i.e., the different combination of dosages of various control factors) for experimentation. According to the present analysis, the optimum level combinations of growth regulators for regeneration of multiple shoots from shoot tip explants of B. polystachyon is 8.19 μM benzyladenine and 2.36 μM naphthalene acetic acid, with a response of approximately 12 regenerated shoots.

show abstract

Response surface optimization of the removal of nickel from aqueous solution by cone biomass of Pinus sylvestris

Cited by 159 publications

References 14 publications

Nitric oxide absorption by hydrogen peroxide in airlift reactor: a study using response surface methodology

Nitric oxide absorption by hydrogen peroxide in airlift reactor: a study using response surface methodology

Optimizing adsorption of fluoride from water by modified banana peel dust using response surface modelling approach

Use of response surface methodology for optimization of a shoot regeneration protocol in Basilicum polystachyon

Contact Info

Product

Resources

About