2001
DOI: 10.1021/bp000167w
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Optimization of Conditions for Bacteriocin Extraction in PEG/Salt Aqueous Two‐Phase Systems Using Statistical Experimental Designs

Abstract: The bacteriocin nisin was extracted in PEG/salt aqueous two-phase systems (ATPS) using the property that the systems can extract hydrophobic proteins. The concentrations of the phase-forming components, PEG 4000 and Na(2)SO(4), were optimized for nisin recovery by means of statistical experimental designs, and it was found that they strongly influenced nisin recovery. The optimal composition of ATPS was found to be 15.99% (w/w) PEG 4000 and 15.85% (w/w) Na(2)SO(4) (pH 2), and the optimal ATPS allowed an 11.60%… Show more

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Cited by 47 publications
(32 citation statements)
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“…The digestion time (A) is also showing the lowest effect (A, -0.0014) (Table 3) among all other factors and their interactions. The model presented correlation coefficient R 2 = 96.41 % and adjusted correlation coefficient R 2 (adj) = 93.28 %, which is in very good agreement (Li et al 2001;Jadhav et al 2012) between the experimental data and the model. Therefore, the model is statistically significant and predictable within the chosen variables.…”
Section: Screening Of Factorssupporting
confidence: 58%
See 1 more Smart Citation
“…The digestion time (A) is also showing the lowest effect (A, -0.0014) (Table 3) among all other factors and their interactions. The model presented correlation coefficient R 2 = 96.41 % and adjusted correlation coefficient R 2 (adj) = 93.28 %, which is in very good agreement (Li et al 2001;Jadhav et al 2012) between the experimental data and the model. Therefore, the model is statistically significant and predictable within the chosen variables.…”
Section: Screening Of Factorssupporting
confidence: 58%
“…As a result, the optimum value of the total sulphur measurement for KZK-1 is expected to present between the chosen ranges of the experimental variables; hence, it is not necessary to follow the steepest ascent technique for the optimization process (Li et al 2001). The screening of the investigated variables was performed by a regression model analysis to identify the factors with a significant effect on the response.…”
Section: Full Factorial Designmentioning
confidence: 99%
“…That means, the output responses are situated in the vicinity of the optimal experimental region, thus the significant factors can be optimized by RSM in the next DoE step [7,14]. On the other hand, when the output responses are far away from the optimal experimental region no difference or curvature is existing, and therefore steepest ascent [16,18,23,24] or steepest descent [25] experiments have to be carried out in order to increase or decrease the output responses, respectively, thus reaching the proximity of the optimal experimental region and investigate the experimental direction [7,9]. These steeptest ascent/descent experiments are initially performed at the center-point of the significant factors and each factor level is increased or decreased according to the magnitude of the main effects [7].…”
Section: Steepest Ascent / Descent Methodsmentioning
confidence: 99%
“…12 has been frequently set to ± 1.41 [6,18,23,35,38,[46][47][48][49] for the optimization of PEG-salt ATPS. Hence, the CCC design for three factors is obviously represented by a hyperspherical experimental arrangement due to corner and axial experiments approximating a spherical surface (Fig.…”
Section: Accepted M Manuscriptmentioning
confidence: 99%
“…Bacteriocins of LAB are cationic, hydrophobic and present high isoeletric point that facilitates the extraction from the producers cells, depending on pH (9).…”
mentioning
confidence: 99%