2015
DOI: 10.1590/1678-457x.6700
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Optimization of microwave drying conditions of two banana varieties using response surface methodology

Abstract: Dptimization of microwave drying conditions of Luvhele and Mabonde banana varieties were studied using response surface methodology. The drying was performed using a central composite rotatable design for two variables: microwave power level (100, 200 and 300 W) and drying time (40, 26, and 12 min.) for Luvhele; (100, 200 and 300 W) and (42, 27, and 12 min) for Mabonde. The colour and texture (hardness) data were analyzed using ANDVA and regression analysis. The fitness of the models obtained was good as the l… Show more

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Cited by 26 publications
(22 citation statements)
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“…A non–significant lack of t-test is good as this strengthens the fitness of the models. Omolola et al. (2015) reported that the coefficient of variation of the parameters indicates the extent and significance of each model parameter with regards to their effects on the response variables.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…A non–significant lack of t-test is good as this strengthens the fitness of the models. Omolola et al. (2015) reported that the coefficient of variation of the parameters indicates the extent and significance of each model parameter with regards to their effects on the response variables.…”
Section: Resultsmentioning
confidence: 99%
“…Design-Expert 11 (Statease Inc; Minneapolis USA, version) was used to process the collected data. Analysis of variance (ANOVA) at p < 0.05, regression analysis and response surface plots were generated for different interactions for malting and fermentation times ( Omolola et al., 2015 ; Akinoso and Adeyanju, 2012 ).…”
Section: Methodsmentioning
confidence: 99%
“…But drying can not be done randomly, as the industry aims to; and therefore, it is appropriate to use a method that aims reducing time to obtain elaboration of laboratory technical reports (MOURA & SILVA, 2017). Several authors report that industries need time optimization to obtain their products as well as to carry out quality control analyzes (DOMENICO et al, 2017;RAPONI et al, 2017;OMOLOLA et al, 2015).…”
Section: Food Technologymentioning
confidence: 99%
“…It provide information on the single or individual effects, interaction effects and curvilinear/quadratic effects of study variables as well as generates a mathematical model that can be represented graphically. The RSM has been successfully applied in various drying operations such as in osmotic dehydration (Agarry and Owabor, 2012), vacuum drying (Šumić et al, 2016), spray drying (Shishir et al, 2016), microwave drying (Omolola et al, 2015) and hot air drying operations of food products (Abano et al, 2014;Zhao et al, 2017;Ganje et al, 2018).…”
Section: Introductionmentioning
confidence: 99%