Application of Factorial Design of Experiment for Optimization of Inhibition Effect of Acid Extract of &amp;lt;i&amp;gt;Gnetum africana&amp;lt;/i&amp;gt; on Copper Corrosion

Nkuzinna, Ogbonna Chris; Menkiti, Matthew Chukwudi; Onukwuli, Okechukwu Dominic; Mbah, Gordian O.; Okolo, B. I.; Egbujor, Melford C.

doi:10.4236/nr.2014.57028

Cited by 18 publications

(13 citation statements)

References 12 publications

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“…To develop design, it is notable that the difference and a ratio of predicted and adjusted regression coefficient (R2) should be <0.2 and >4, respectively [19]. Under all response, the difference, ratio of the predicted, and adjusted R2 are within this range, at minimum (0.0083 and 8.685) and maximum (0.1209 and 28.715) values.…”

Section: Design Space Establishmentmentioning

confidence: 99%

A Study of Fluid Bed Granulation of Pravastatin Tablet Using Design of Experiments

Kim

Pyo

2018

Asian J Pharm Clin Res

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Objective: The objective of this study was to reduce size and weight of pravastatin tablet through quality by design approach; potential factors (spray rate, atomizing pressure, and inlet temperature) which could influence on the production process for critical process parameters of wet granulation using fluid-bed granulator were examined.Methods: The manufacturing process of the reduced weight and size formulation pravastatin tablet involves wet granulation, drying, granulate screening, blending, and tableting. Design of experiments study for wet granulation of the reduced weight/size pravastatin tablet was produced on 11 combinations of three factors (spray rate, atomizing pressure, and inlet temperature), which were chosen through initial risk assessment. The process of wet granulation was rated by measuring four responses: loss on drying (LOD) (%), bulk density (g/ml), product temperature (°C), and dissolution similarity (f2).Results: It was measured that LOD varied from 1.46 to 3.24%, bulk density from 0.34 to 0.51 g/ml, product temperature from 40.12 to 51.69°C, and dissolution (f2) of pravastatin from 52.14 to 58.91. Control strategy for wet granulation production of the reduced weight and size pravastatin tablet by our results demonstrated that the most optimized condition of three factors for wet granulation is spray rate (3–5 g/min), atomizing pressure (about 1 bar), and inlet temperature (65–90°C), respectively. Updated risk assessment and justification by all experimental data safely existed within the range of acceptance criteria were presented.Conclusion: It can be concluded that the ideal ranges of three factors (spray rate, atomizing pressure, and inlet temperature) in wet granulation were successfully identified.

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Section: Design Space Establishmentmentioning

confidence: 99%

A Study of Fluid Bed Granulation of Pravastatin Tablet Using Design of Experiments

Kim

Pyo

2018

Asian J Pharm Clin Res

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“…[10,11] However, the tannin and lignin presents in the biomaterials may leach-out and create environmental pollution and hence required suitable pre-treatment which may not be economical and environmental friendly. [12] Furthermore, economy of an adsorption process reliant on the number of sorption-desorption cycle of each adsorbent. The amine and electron donor groups present in the biomaterials lead indirect reduction and increase the chemi-sorption.…”

Section: Introductionmentioning

confidence: 99%

Selection of suitable adsorbent for the removal of Cr(VI) by using objective based multiple attribute decision making method

Baral

Mohanasundaram

Ganesan

2020

Preparative Biochemistry & Biotechnology

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The objective of the current manuscript is to develop a systematic and simplified expert system for the selection of suitable adsorbent to treat Cr(VI). Selection of adsorbent among the large options available by considering all possible factors and their interaction is required in an easy, organized and rational way. In this study, fuzzy logic is used for the choosing an appropriate adsorbent for the Cr(VI) removal. Multiple attribute decision making (MADM) is utilized to work out the relative weighting values for the chosen sorbent. The preference index is calculated by using the subjective and objective weights. The normalized value associated with each parameter has given on the basis of effect of each parameter on the removal of Cr(VI) and uptake capacity of each material. The associated MADM method results and the barriers of the approach is mentioned to lay the basis for in addition enhancement.

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“…This is partly due to the fact that desirable properties of an inhibitor usually extend beyond those simply related to metal protection. Considerations of cost, toxicity, availability and environmental friendliness are of considerable importance (Nkuzinna et al, 2014). Plants are sources of naturally occurring compounds, some with complex molecular structures and having different chemical, biological, and physical properties.…”

Section: Introductionmentioning

confidence: 99%

“…In recent time, a full-factorial experiment studying the inhibition effect of acid extract of Gnetum Africana was conducted (Nkuzinna et al, 2014), for the experiment, pure copper sheets (99.9%) were employed and HNO 3 was used to extract the inhibitor from Gnetum Africana leaves. The weight losses due to corrosion were recorded under three different factors (inhibitor concentration, time and temperature), each factor was measured at three levels, making it a 3-level full factorial design with 27 runs.…”

Section: Introductionmentioning

confidence: 99%

“…Importantly, however, we found that using the statistical model in Equation 1, the predicted weight loss at those settings is 3.30 g, which is much higher than the experimental weight loss value of 0.62 g in Run 7 of Table 2. This paper aims to reanalyze the data in order to provide alternative models with better optimal setting as an improvement over the model provided by (Nkuzinna et al, 2014). In addition, to also investigate and identify the most efficient alternative designs (two-level factorial design, three-level factorial design, and Box-Behnken design), in studying the inhibition effect of acid extract of Gnetum Africana on copper corrosion.…”

Section: Introductionmentioning

confidence: 99%

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On the use of factorial experiments for optimizing inhibition effect of acid extract of Gnetum Africana on copper corrosion

2020

Int. J. Corros. Scale Inhib.

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The inhibition of copper corrosion by acid extract of Gnetum Africana using weight loss method under various independent variables of time, inhibitor concentration and temperature was studied. The data used was retrieved from a three-level factorial experiment by Nkuzinna et al. (2014) and reanalyzed. The re-analysis was necessary to provide an alternative model for weight loss due to corrosion of copper in the acid extract of Gnetum Africana. The original three-level factorial design was employed to fit a model describing the weight loss due to corrosion. Equally, a two-level factorial design and Box-Behnken design were alternatively considered for the design constructions, analysis, and modeling the process of the original data. The optimum factor settings for corrosion inhibition were determined to be 24 h, 0.003 g/L and 303 K for time, inhibitor concentration and temperature respectively. It was concluded that the Box-Behnken design was the most efficient, followed by the two-level factorial design, while the three-level factorial design was the least efficient in predicting the weight loss. Indeed, this is a great improvement over the three-level factorial experiment earlier used by Nkuzinna et al. (2014) in relation to resources, time and above all the statistical efficiency, precision and reliability of the model.

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Application of Factorial Design of Experiment for Optimization of Inhibition Effect of Acid Extract of <i>Gnetum africana</i> on Copper Corrosion

Cited by 18 publications

References 12 publications

A Study of Fluid Bed Granulation of Pravastatin Tablet Using Design of Experiments

A Study of Fluid Bed Granulation of Pravastatin Tablet Using Design of Experiments

Selection of suitable adsorbent for the removal of Cr(VI) by using objective based multiple attribute decision making method

On the use of factorial experiments for optimizing inhibition effect of acid extract of Gnetum Africana on copper corrosion

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