2007
DOI: 10.1016/j.lwt.2006.05.005
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Optimization of the basic formulation of a traditional baked cassava cake using response surface methodology

Abstract: The optimum formulation for production of a Malaysian traditional baked cassava cake was determined using response surface methodology (RSM). Effects of amount of ingredients such as sugar (10-30%) and coconut milk (15-35%) on the textural characteristics (hardness and chewiness) and sensory qualities (colour, firmness, cassava flavour and overall acceptability) of cakes were investigated. Significant regression models which explained the effects of different percentages of sugar and coconut milk on all respon… Show more

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Cited by 94 publications
(81 citation statements)
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“…The other parameters analysed -adhesiveness, cohesiveness, springiness, spread ratio, expansion factor, colour parameters (L*, a* and b*), and sensory flavour and overall acceptability -did not show statistical correlation with the 2 ), which indicated the fitting of the model to the variable responses, is lower than 0.8 (Gan et al 2007).…”
Section: Sensory Evaluation Of Biscuitsmentioning
confidence: 78%
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“…The other parameters analysed -adhesiveness, cohesiveness, springiness, spread ratio, expansion factor, colour parameters (L*, a* and b*), and sensory flavour and overall acceptability -did not show statistical correlation with the 2 ), which indicated the fitting of the model to the variable responses, is lower than 0.8 (Gan et al 2007).…”
Section: Sensory Evaluation Of Biscuitsmentioning
confidence: 78%
“…Optimisation of the texture properties of dough and biscuits and physical and sensory properties of the biscuits The response surface methodology has been widely used to minimize the number of trials while studying ingredients interactions and quality characteristics of biscuits (Gallagher et al 2003, Moraes et al 2010, cakes (Gan et al 2007) and vegetable gelled desserts (Nunes et al 2006).…”
Section: Sensory Evaluation Of Biscuitsmentioning
confidence: 99%
See 1 more Smart Citation
“…The optimization variables, responses were selected based on the direct effect on the acceptability and quality of Cookies 24 . In the present regression model, parameters for explanatory variables were linear, square and quadratic effect.…”
Section: Results and Discussion Central Composite Designmentioning
confidence: 99%
“…RSM consists of a group of mathematical and statistical procedures that can be used to study relationships between one or more responses (dependent variables) and a number of factors (independent variables) (Diniz & Martin, 1996). In the last decade, RSM has been successfully used to adjust formulations (Abdullah & Cheng, 2001;Castro et al, 2004;Murphy et al, 2004;Chu & Resurreccion, 2005;Granato et al, 2010;Melo et al, 2013) and process conditions (Chávez-Jáuregui et al, 2000;Mendes et al, 2001;Loh et al, 2005;Fernández et al, 2006;Kumar et al, 2009;Rehrah et al, 2009), reducing the number of trials and providing multiple regression approach to achieve optimization (Gan et al, 2007). However, to the best of our knowledge, there are no studies using response surface methodology to explore the best concentration of guaraná and sugar in the commercial açaí.…”
Section: Introductionmentioning
confidence: 99%