2016
DOI: 10.1016/j.foodchem.2016.02.109
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Modeling and optimization of red currants vacuum drying process by response surface methodology (RSM)

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Cited by 123 publications
(63 citation statements)
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“…Our results were similar to those of a previous study byŠumić et al [25] who reported that drying temperature and time significantly affected the water activity of red currants during vacuum-drying following a first-order effect model. In their study, quadratic effects were also observed but were not obvious.…”
Section: Water Activitysupporting
confidence: 92%
“…Our results were similar to those of a previous study byŠumić et al [25] who reported that drying temperature and time significantly affected the water activity of red currants during vacuum-drying following a first-order effect model. In their study, quadratic effects were also observed but were not obvious.…”
Section: Water Activitysupporting
confidence: 92%
“…This method is regularly used for the optimization of drying processes as reported by different authors. The goal pursued in these different studies was to optimize drying conditions for preserving certain bioactive compounds such as betacarotene and lycopene, phenolic compounds and antioxidant activity [94], vitamin C, flavonoids, and anthocyanins [95].…”
Section: Drying Optimizationmentioning
confidence: 99%
“…The response variables were fitted to a second-order polynomial model (see (1)) which is generally able to describe relationship between the responses and the independent variables [21].…”
Section: Experimental Design and Statistical Analysismentioning
confidence: 99%