2014
DOI: 10.1016/j.jcs.2014.05.005
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Multiple optimization of chemical and textural properties of roasted expanded purple maize using response surface methodology

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Cited by 23 publications
(21 citation statements)
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“…), banana (Saca and Lozano ), maize (Mrad et al . ), potato (Sullivan et al . ), carrot and onion (Louka and Allaf ).…”
Section: Introductionmentioning
confidence: 99%
“…), banana (Saca and Lozano ), maize (Mrad et al . ), potato (Sullivan et al . ), carrot and onion (Louka and Allaf ).…”
Section: Introductionmentioning
confidence: 99%
“…The great advantage of this rapid compression is the possibility to treat heat‐sensitive products that cannot withstand more than few seconds under high pressure (Mrad et al . 2014b,c, 2015b). IVDV process seems to be a good pretreatment to modify the structure of raw chickpeas thus preparing them for further treatment.…”
Section: Introductionmentioning
confidence: 99%
“…It differs from DIC by the fact that compression to high pressure (attaining 15 bars) requires less than 1 s in comparison with more than 10 s needed in DIC. The great advantage of this rapid compression is the possibility to treat heatsensitive products that cannot withstand more than few seconds under high pressure (Mrad et al 2014b(Mrad et al ,c, 2015b. IVDV process seems to be a good pretreatment to modify the structure of raw chickpeas thus preparing them for further treatment.…”
Section: Introductionmentioning
confidence: 99%
“…Over the years, several studies were conducted to optimize the roasting process parameters of cereal grains and nuts (Srivastav et al, 1990). Response surface methodology (RSM) is a widely used statistical method to optimize the process parameters (Mrad, Debs, Saliba, Maroun, & Louka, 2014). In the case of maize roasting, the majority of reported studies dictates laboratory scale optimization procedures which often lead to untranslatable results at pilot scale level (Mrad et al, 2014;Omwamba & Hu, 2009;Ziaolhagh, Tehrani, Razavi, & Rashidi, 2017).…”
mentioning
confidence: 99%