2008
DOI: 10.1016/j.jfoodeng.2007.11.010
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Optimization of processing parameters of horse mackerel (Trachurus japonicus) dried in a heat pump dehumidifier using response surface methodology

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Cited by 50 publications
(32 citation statements)
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“…One approach to optimization was to solve the problem of multiple responses through the use of a desirability function combining all responses into one measurement (Erbay and Icier, 2009). Some steps of developing desirability functions for optimization include to making the response variables dimensionless, to decide the weighting coefficient, to constitute the desirability function and solution, and to perform the optimization by fuzzy or similar predictable ratio method (Shi et al, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…One approach to optimization was to solve the problem of multiple responses through the use of a desirability function combining all responses into one measurement (Erbay and Icier, 2009). Some steps of developing desirability functions for optimization include to making the response variables dimensionless, to decide the weighting coefficient, to constitute the desirability function and solution, and to perform the optimization by fuzzy or similar predictable ratio method (Shi et al, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…The constraints were set such that the selected variables (T, C and θ) would be minimum from economical point of view for the most important product attribute and close to the optimum for the others [8]. The main criteria for constraints optimization were maximum possible water loss and targeted salt gain of 2.98 per cent as most important quality (saltiness) attribute mentioned by [4,20,21]. The desired goals for each factor and response are shown in Table 4.…”
Section: Optimization Of Osmotic Dehydration Of Mushroommentioning
confidence: 99%
“…This approach enables an experimenter to make efficient exploration of a process or system. Therefore, RSM has been frequently used in the optimization of food processes [4].…”
Section: Introductionmentioning
confidence: 99%
“…RSM has been a popular choice of various researchers of engineering, chemical, industrial, and biological fields for analysing the effects of the process variables on the response and to optimise the process parameters. RSM has been applied for optimisation of the extraction of phenolic compounds from wheat (Liyana-Pathirana & Shahidi 2005); optimisation of processing parameters of horse mackerel in a heat pump drier (Shi et al 2008); optimisation of the process conditions of twin screw extruder for barley-grape pomace blends (Altan et al 2008); vacuum drying process of celery (Madamba & Liboon 2001); and for hot air drying of olive leaves (Erbay & Icier 2009). …”
mentioning
confidence: 99%