2023
DOI: 10.18488/jftr.v10i1.3248
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Optimization of solvent extraction conditions of Cambodian soybean oil using response surface methodology

Abstract: The conventional solvent extraction (CSE) method is commonly used to extract oil from oilseeds. Even though the extraction of oil from soybean seeds using the CSE method has been studied extensively, the application of response surface methodology (RSM) has not yet been widely explored. In this paper, the CSE method was employed using three different types of solvents – ethanol (Eth), n-hexane (Hex), and a mixture of Hex:Eth in a ratio of 2:1 – and optimized using RSM to extract the oil from Cambodian soybean … Show more

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Cited by 6 publications
(2 citation statements)
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“…Especially when the response of a parameter is in uenced by different variables, this method will be useful 26 . A number of previous studies have used the response surface method to optimize the extraction process parameters by determining exactly how each parameter affects the overall process [27][28][29] . In fact, the purpose of the experiment design is to obtain maximum information and knowledge about the process, by spending the minimum cost and time to carry out the process.…”
Section: Introductionmentioning
confidence: 99%
“…Especially when the response of a parameter is in uenced by different variables, this method will be useful 26 . A number of previous studies have used the response surface method to optimize the extraction process parameters by determining exactly how each parameter affects the overall process [27][28][29] . In fact, the purpose of the experiment design is to obtain maximum information and knowledge about the process, by spending the minimum cost and time to carry out the process.…”
Section: Introductionmentioning
confidence: 99%
“…Especially when the response of a parameter is influenced by different variables, this method will be useful 26 . A number of previous studies have used the response surface method to optimize the extraction process parameters by determining exactly how each parameter affects the overall process 27 – 29 . In fact, the purpose of the experiment design is to obtain maximum information and knowledge about the process, by spending the minimum cost and time to carry out the process.…”
Section: Introductionmentioning
confidence: 99%