Optimization of Aqueous Two-Phase Systems for the Recovery of Soluble Proteins from Tannery Wastewater Using Response Surface Methodology

Selvaraj, Raja; Murty, V. Ramachandra

doi:10.1155/2013/217483

Cited by 25 publications

(26 citation statements)

References 25 publications

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“…After determination of significant factors it is necessary to confirm that these factors and the output responses are located in the vicinity of the optimal experimental region which is performed by an analysis of the model curvature [7,12,14]. In this context, a model curvature occurs if there is a significant difference between the average output responses of the screening design and center-point experiments at a confidence level of 95 % evaluated by ANOVA [7,13,14].…”

Section: Steepest Ascent / Descent Methodsmentioning

confidence: 99%

“…In this context, a model curvature occurs if there is a significant difference between the average output responses of the screening design and center-point experiments at a confidence level of 95 % evaluated by ANOVA [7,13,14]. 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].…”

Section: Steepest Ascent / Descent Methodsmentioning

confidence: 99%

“…Initially, in a DoE process for the optimization of PEG-salt ATPS a screening of a large number of factors k is carried out in a few experiments in order to reveal the most important factors having a statistical significant influence on the output responses or performance of a process/system and investigate their appropriate ranges [7,8,13,14]. Furthermore, the purpose of a screening design is the identification and selection of those factors demanding a more thoroughly investigation in further experiments [8,9].…”

Section: Screening Of Significant Factorsmentioning

confidence: 99%

“…However, with five or more factors in a 2 k factorial design the number of experiments is drastically increased, resulting in a fast outgrowing of the resources of most experimenters in terms of too demanding experiments [7][8][9]13]. Hence, the two-level fFD is usually used as a more appealing experimental screening design which is based on the FFD and may be constructed by choosing only fractions of corner experiments [8,[13][14][15]. Generally, the fFD is denoted by 2 k-1 , 2 k-2 and 2 k-4 containing a total number of experimental runs reduced to a one-half, one-quarter or a higher fraction of the FFD [7][8][9]13].…”

Section: Screening Of Significant Factorsmentioning

confidence: 99%

“…Another screening design method sometimes used in PEG-salt ATPS is the orthogonal twolevel Plackett-Burman design (PBD) when only main influences are of interest, assuming that no interactions between different factors x i are considered in the range of variables, thus considering a linear screening approach [7,10,[13][14][15]21]. Since the PBD is a non-geometric design consisting of irregular fractions of 2 k designs and can be designed with a multiple number of four experimental runs, this screening design is consequently used for irregular experimental regions according to inaccessible corner experiments [7][8][9]13].…”

Section: Screening Of Significant Factorsmentioning

confidence: 99%

See 4 more Smart Citations

Optimization of PEG–salt aqueous two-phase systems by design of experiments

Glyk

Solle

Scheper

et al. 2015

Chemometrics and Intelligent Laboratory Systems

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Since the mechanism governing the partitioning behavior of biomolecules, such as proteins and enzymes, in polyethylene glycol (PEG)-salt aqueous two-phase systems (ATPS) is complex and not easily predictable, many laborious experiments have to be performed for an optimization of these systems, causing increased overall cost. However, the multivariate statistical design of experiments (DoE) methodology is representing a promising and efficient optimization technique which can overcome the limitations of traditional optimization methods. Therefore, DoE has emerged as a powerful and efficient optimization tool for PEGsalt ATPS, since it is faster, more efficient and cost-effective, allowing a simultaneous and rigorous evaluation of process/system parameters. In the present review, different DoE process steps are represented to highlight the feasibility of this approach to operate as a promising and efficient optimization tool, thus facilitating the evaluation of the partitioning behavior, recovery and purification of different proteins and enzymes in PEG-salt ATPS. In this context, several experimental designs, such as factorial and response surface designs, have been discussed and evaluated by statistical regression analysis and analysis of variance (ANOVA), as well as various applications of PEG-salt ATPS using DoE have been outlined which may further promote the optimization of these systems.

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Section: Steepest Ascent / Descent Methodsmentioning

confidence: 99%

Section: Steepest Ascent / Descent Methodsmentioning

confidence: 99%

Section: Screening Of Significant Factorsmentioning

confidence: 99%

Section: Screening Of Significant Factorsmentioning

confidence: 99%

Section: Screening Of Significant Factorsmentioning

confidence: 99%

See 3 more Smart Citations

Optimization of PEG–salt aqueous two-phase systems by design of experiments

Glyk

Solle

Scheper

et al. 2015

Chemometrics and Intelligent Laboratory Systems

View full text Add to dashboard Cite

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Optimization and modelling of pravastatin recovery from aqueous solutions using reactive extraction methodology

Yetisen,

Uslu,

Baltacioglu

2024

Can J Chem Eng

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This research endeavour primarily aimed to optimize and establish a model for the recovery of pravastatin, a well‐known statin drug recognized for its cholesterol‐lowering properties, from aqueous solutions using reactive extraction. This study used the Box–Behnken design to investigate extraction parameters and create a concise model equation illustrating the relationship between variables and responses. The investigation showed a strong agreement between the model equation and experimental outcomes. It highlighted a positive correlation, demonstrating that higher concentrations of reactant and pravastatin led to notable improvements in extraction efficiency. Two out of 90 experiments had extraction efficiencies below 10%, both with constant factors except for solvent type, while 14 experiments exceeding 80% efficiency highlighted the positive impact of a 50% reactant concentration on extraction efficiency. According to a statistical second‐order polynomial, the predicted extraction efficiency stands at 75.14%. In the culminating phase of the study, optimal extraction conditions were meticulously determined, resulting in the identification of an optimal set of parameters: a pravastatin concentration of 35 mg · L−1, an adogen concentration of 20.91% (v/v), and a butanol phase ratio of 0.2% (v/v). Under optimal conditions, the experimental extraction efficiency reached 72.69%, closely aligning with values predicted through numerical optimization employing response surface methodology.

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Perspectives on adsorption technology as an effective strategy for continuous downstream bioprocessing

Schneider

Herlevi

Guo

et al. 2021

J of Chemical Tech & Biotech

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The biological industry, but also biorefining platforms in the context of the circular economy, have been fertile terrains for the development of a palette of novel products of increasing structural diversity and fields of application. To mention only a few of the more complex bioproducts, we can consider monoclonal antibodies, plasmid DNA, virus‐like particles and exosomes. Of course, some products of industrial relevance are much simpler in nature. Irrespective of the product class and field of application, a shift from batch processing to continuous manufacturing is currently happening. This is due to the fact that operating in the continuous mode can result in process intensification, and therefore increased productivity with lower environmental impact can be realized. Some biological production schemes, e.g. those based on perfusion cultures, are well known in the pharmaceutical industry. Likewise, continuous fermentation is now utilized to produce ethanol from biomass. In many cases, continuous downstream operations are desired but difficult to implement; there is a pressing need to better understand the available options for product recovery and purification. Some traditional methods require re‐evaluation in modern contexts and some others, of experimental nature, require further improvement before actual implementation. In this article, we present an overview of the most promising methods that would allow for robust downstream bioprocessing options in the near future – with a focus on adsorption technologies. © 2021 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).

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Optimization of Aqueous Two-Phase Systems for the Recovery of Soluble Proteins from Tannery Wastewater Using Response Surface Methodology

Cited by 25 publications

References 25 publications

Optimization of PEG–salt aqueous two-phase systems by design of experiments

Optimization of PEG–salt aqueous two-phase systems by design of experiments

Optimization and modelling of pravastatin recovery from aqueous solutions using reactive extraction methodology

Perspectives on adsorption technology as an effective strategy for continuous downstream bioprocessing

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