2014
DOI: 10.1002/ceat.201300652
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Optimization of Rhizopus niveus Lipase Partitioning by an Aqueous Biphasic System

Abstract: An unconventional aqueous two‐phase system (ATPS) composed of polyethylene glycol (PEG) and sodium carbonate was developed and optimized by employing response surface methodology for separation of Rhizopus niveus lipase. A five‐level central composite design was applied to evaluate the optimal level of three process variables in order to obtain maximum lipase separation. Experimental data were analyzed by regression and a polynomial model was created which was found significant. The maximum partition coefficie… Show more

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Cited by 6 publications
(2 citation statements)
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“…While there previously published works about using ATPS in the study of extraction/purification processes of lipases is important to note that these lipases are different in size, shape, and other characteristics and are obtained by fermentation processes involving other microorganisms [16][17][18]. In this sense, so far, there has been no report in the literature on the use of ATPS for the purification of the extract fermentation of extracellular lipase of Geotrichum candidum.…”
Section: Introductionmentioning
confidence: 99%
“…While there previously published works about using ATPS in the study of extraction/purification processes of lipases is important to note that these lipases are different in size, shape, and other characteristics and are obtained by fermentation processes involving other microorganisms [16][17][18]. In this sense, so far, there has been no report in the literature on the use of ATPS for the purification of the extract fermentation of extracellular lipase of Geotrichum candidum.…”
Section: Introductionmentioning
confidence: 99%
“…The one‐factor‐at‐a‐time optimization design is simple, but fails to seek the optimum region because the interaction effects of variables are not considered. Response surface methodology (RSM) based on central composite design (CCD) is a collection of mathematical and statistical techniques for evaluating the relative significance of a multivariable system and determining the optimum conditions for various bioprocesses 31–35.…”
Section: Introductionmentioning
confidence: 99%