Statistical analysis for the removal of crystal violet using bacterial cellulose powder via response surface methodology

AbstractThe present work describes the statistical process optimization of a lowcost production process of PLA using organometallic (stannous octoate) compounds. The process optimization for both lactide and polylactide, was developed by factorial design and response surface methodology. The influence of different experimental parameters such as reaction temperature, time, concentration of catalyst and co-initiator concentration on the yield of lactide and polylactide has been evaluated. There are many studies reported on the synthesis of polylactide but no earlier study exists for the application of statistical analysis in determining the interactions among the process variables for lactide and polylactide production. Central composite experimental design with multiple linear regression has been used to estimate the coefficients of the polynomial model equation for the yield(s) of both lactide and polylactide. The statistical significance of polynomial model equation was validated by F test (ANOVA). Determination coefficient (R2) values found to be 0.913 and 0.958 for lactide and polylactide respectively, states that predicted values were in good agreement with the experimental values. Results of the statistical analysis showed that the model fits in all cases. Above synthesised polymer was characterized by FT-IR, 1H-NMR, DSC and GPC to confirm the polymer structure and properties.

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Optimisation of crystal violet removal onto raw kaolin using response surface methodology

International Journal of Environmental Technology and Management ◽

10.1504/ijetm.2019.102197 ◽

2019 ◽

Vol 22 (2/3) ◽

pp. 85 ◽

Cited By ~ 1

Author(s):

Natiela Caponi ◽

Gabriela Carvalho Collazzo ◽

Julia Da Silveira Salla ◽

Sérgio Luiz Jahn ◽

Guilherme Luiz Dotto ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Crystal Violet

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Optimization of Conditions for Collagen Extraction from the Swim Bladders of Grass Carp (Ctenopharyngodon idella) by Response Surface Methodology

International Journal of Food Engineering ◽

10.2202/1556-3758.1772 ◽

2010 ◽

Vol 6 (3) ◽

Cited By ~ 7

Author(s):

Bao Zhang ◽

Yunzhong Chen ◽

Xuefei Wei ◽

Mingqi Li ◽

Mengjin Wang

Keyword(s):

Response Surface Methodology ◽

Acetic Acid ◽

Statistical Analysis ◽

Response Surface ◽

Acid Concentration ◽

Grass Carp ◽

Ctenopharyngodon Idella ◽

Acetic Acid Concentration ◽

Optimal Conditions ◽

Solid Ratio

The effects of liquid-solid ratio, acetic acid concentration and extraction time on the yield of acid-soluble collagen(ASC) from the swim bladders of grass carp were optimized by statistical analysis using response surface methodology. The response surface methodology (RSM) was used to optimize the yield of ASC by implementing the Box-Wilson design. Statistical analysis of the results showed that the linear and quadric terms of these three variables had significant effects. However, no interactions between the three variables were found to contribute to the response at a significant level. The optimal conditions for higher yield of ASC were a liquid-solid ratio of 17.85, an acetic-acid concentration of 0.54 M and a time of 34 h. Under these conditions, the model predicted an ASC yield of 8.39%. Verification of the optimization showed that an ASC yield of 8.21±0.15% was observed under the optimal conditions. The experimental values agreed with the predicted values, using analysis of variance, indicating an excellent fit of the model used and the success of response surface methodology for modeling extraction of ASC from the swim bladders of grass carp.

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Optimization of crystal violet dye removal using novel soil-silver nanocomposite as nanoadsorbent using response surface methodology

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2013.11.012 ◽

2014 ◽

Vol 2 (1) ◽

pp. 708-714 ◽

Cited By ~ 46

Author(s):

Mantosh Kumar Satapathy ◽

Papita Das

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Crystal Violet ◽

Dye Removal ◽

Crystal Violet Dye ◽

Silver Nanocomposite

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Research and Modelling of Surface Roughness, Cutting Forces and I-kaz Coefficients for S42C in Turning using Response Surface Methodology

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l1109.10812s219 ◽

2019 ◽

Vol 8 (12S2) ◽

pp. 608-620

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Statistical Analysis ◽

Response Surface ◽

Cutting Parameters ◽

Machining Process ◽

Regression Equations ◽

Turning Process ◽

Machining Processes ◽

Surface Method

This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analysis of signals and surface quality. The paper also presents a statistical analysis of signal processing. The cutting force was measured during machining using the Kistler 9129AA dynamometer to monitor the force signals and the data was analyzed using the I-kazTM method of statistical analysis. This statistical analysis was used to assess the effect of force signals during the machining process. The RSM models for Ra and Rz, and Ideveloped with ANOVA and multiple regression equations. The models also were compared and validated with the predicted and measured of Ra and Rz values, and I-kaz coefficients. The optimal configuration of cutting parameters was observed at 200 m/min, 0.1 mm/rev and 0.521 mm with desirability of 95.9%. It is observed that the models developed are suggested to be utilized for predicting surface roughness values and I-kaz coefficients for the machining of S45C steel.

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