2014
DOI: 10.3746/jkfn.2014.43.9.1462
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Optimization of Alkali Extraction for Preparing Oat Protein Concentrates from Oat Groat by Response Surface Methodology

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Cited by 11 publications
(7 citation statements)
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“…The central composite design (CCD) of RSM is an experimental design method that statistically analyzes the response surface produced independently or by the interaction of two independent variables affecting the responses. The CCD has the advantage of effectively estimating curvature using the center point and multiple axial points to predict the optimal conditions [ 28 , 29 , 30 ]. In this study, CCD was applied to predict the optimal UAE conditions to maximize the responses, including the RSA, TIA, and CIA, of S. thunbergii extract.…”
Section: Resultsmentioning
confidence: 99%
“…The central composite design (CCD) of RSM is an experimental design method that statistically analyzes the response surface produced independently or by the interaction of two independent variables affecting the responses. The CCD has the advantage of effectively estimating curvature using the center point and multiple axial points to predict the optimal conditions [ 28 , 29 , 30 ]. In this study, CCD was applied to predict the optimal UAE conditions to maximize the responses, including the RSA, TIA, and CIA, of S. thunbergii extract.…”
Section: Resultsmentioning
confidence: 99%
“…Selecting the conditions that can provide the optimal clearance of suspended material by bivalves is an important step in developing effective biofiltration systems. Response Surface Methodology (RSM) is a statistical technique that can be used for designing experiments, building models, evaluating the effects of several factors and searching for optimum conditions for desirable responses (Jeong et al, ). Using RSM, the interactions and relative importance of different parameters can be evaluated using a limited number of planned experiments (Wang and Liu, ).…”
Section: Introductionmentioning
confidence: 99%
“…Our findings contribute to our understanding of the context-specific ecosystem engineering provided by mussels in natural systems, and also provides a framework for optimizing conditions for the applied use of mussels as biological filters. (Jeong et al, 2014). Using RSM, the interactions and relative importance of different parameters can be evaluated using a limited number of planned experiments (Wang and Liu, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Selecting the conditions that can provide the optimal clearance of suspended material by bivalves is an important step in developing effective biofiltration systems. Response Surface Methodology (RSM) is a statistical technique that can be used for designing experiments, building models, evaluating the effects of several factors, and searching for optimum conditions for desirable responses (Jeong et al 2014). Using RSM, the interactions and relative importance of different parameters can be evaluated using a limited number of planned experiments (Wang et al 2007).…”
Section: Introductionmentioning
confidence: 99%