2015
DOI: 10.1016/j.nbt.2014.12.005
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Response surface optimization of experimental conditions for carbamazepine biodegradation by Streptomyces MIUG 4.89

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Cited by 39 publications
(25 citation statements)
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“…In their previous work, Fakhruddin and Quilty (2005) observed the degradation of 2-chlorophenol by Pseudomonas putida CP1 in the culture media supplemented with glucose. Likewise, Strepromyces bacteria isolated from soils cometabolise CLA and carbamazepine in the presence of glucose as additional source of carbon and energy (Popa et al 2014(Popa et al , 2015(Popa et al and 2016.…”
Section: Fig 3 (A) (B)mentioning
confidence: 99%
“…In their previous work, Fakhruddin and Quilty (2005) observed the degradation of 2-chlorophenol by Pseudomonas putida CP1 in the culture media supplemented with glucose. Likewise, Strepromyces bacteria isolated from soils cometabolise CLA and carbamazepine in the presence of glucose as additional source of carbon and energy (Popa et al 2014(Popa et al , 2015(Popa et al and 2016.…”
Section: Fig 3 (A) (B)mentioning
confidence: 99%
“…Traditional method, for example, one-variable-at-a-time, is not suitable for optimizing this process due to so many factors and their interactions between different variables. For example, in some cases of process optimization by RSM, the obtained response surfaces were slopes, and only local optimum (not the global optimum) was achieved in the boundary conditions of experimental design [15,22]. Recently the reports concerning the application of RSM for optimizing the protein PEGylation process are very limited [21].…”
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confidence: 99%
“…However, statistical methods are largely dependent on the design of experiments, which would not achieve the global optimum if the experimentally designed ranges of the variables did not include the optimal conditions. For example, in some cases of process optimization by RSM, the obtained response surfaces were slopes, and only local optimum (not the global optimum) was achieved in the boundary conditions of experimental design [15,22]. Beside the statistical methods, a reaction kinetic model-based approach has been developed for the optimization of protein PEGylation process in our previous reports, which can provide detailed information about the PE-Gylation mechanism, and also achieve the global optimum of the PEGylation process in a very wide range of the variables [9,10].…”
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confidence: 99%
“…The effect of four different parameters namely the malt culms flour percentage, the salt percentage, the fermentation temperature and its time extension on two of the most important dough quality (deformation and total titratable acidity) were followed. The Response Surface Methodology, an assembly of mathematical and statistical techniques (Madi-Azegagh et al, 2018;Popa et al, 2015a;Popa et al, 2015b;Simion et al, 2017), was employed to analyze the obtained experimental data in order to establish mathematical models able to allow the determination of optimal values for the studied parameters. The obtained dough was baked and the porosity, resilience and total titratable acidity of the resulting bread were analyzed.…”
Section: Introductionmentioning
confidence: 99%