2006
DOI: 10.1111/j.1365-2621.2005.01065.x
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Utilization of peanut fines in the optimization of peanut polvoron using mixture response surface methodology

Abstract: Percentages of peanut fines, sugar and butter in a peanut polvoron formulation were optimized using mixture response surface methodology (RSM). A consumer panel evaluated colour, appearance, flavour, texture and overall acceptance of a control and 15 experimental formulations of peanut polvoron containing various levels of peanut fines, sugar and butter. Texture was found to be the limiting factor for the optimization of peanut polvoron. Formulations with a 9-point hedonic scale score minima of ‡6 for overall … Show more

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Cited by 6 publications
(6 citation statements)
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“…Texture is considered as the limiting sensory attribute of polvoron (San Juan et al . ) and this could be affected by MC. Moisture in flours affects particle aggregation when shortening is added to polvoron and results in a more crumbly product with less creamy mouthfeel.…”
Section: Resultsmentioning
confidence: 99%
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“…Texture is considered as the limiting sensory attribute of polvoron (San Juan et al . ) and this could be affected by MC. Moisture in flours affects particle aggregation when shortening is added to polvoron and results in a more crumbly product with less creamy mouthfeel.…”
Section: Resultsmentioning
confidence: 99%
“…Around the same level of polvoron supplementation (22–36%) was reported acceptable by San Juan et al . () using peanut fines as supplementing ingredient. However, polvoron with 50% TLF did not differ significantly from the other treatments in terms of color, buttery flavor and overall acceptability, although it received higher off‐flavor rating and lower overall acceptability score than the control (Table ).…”
Section: Resultsmentioning
confidence: 99%
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“…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) [11]. In the last decade, RSM has been successfully used to adjust formulations [12][13][14][15][16][17][18][19][20][21][22] and process conditions [10,[23][24][25][26][27][28][29][30][31], reducing the number of trials and providing multiple regression approach to achieve optimization [18]. In addition, for each product, the sweeteners' potencies and synergies are unique, because they depend on the dispersion matrix in which sweeteners are found.…”
Section: Introductionmentioning
confidence: 99%
“…The model yields the quantitative interrelations between independent variables and responses, comprising the full experimental range, and permits the marketer to diminish the effort when developing the new product (Moskowitz 1983). The RSM technique has been used for optimization of broken‐rice based snacks (Sriwattana and others 2008), a peanut polvoron formulation (San Juan and others 2006), and chicken nuggets (Prinyawiwatkul and others 1997), among many others.…”
Section: Introductionmentioning
confidence: 99%