Details
| Original language | English |
|---|---|
| Pages (from-to) | 12-21 |
| Number of pages | 10 |
| Journal | Chemometrics and Intelligent Laboratory Systems |
| Volume | 149 |
| Publication status | Published - 9 Oct 2015 |
Abstract
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 PEG-salt 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.
Keywords
- Analysis of variance, Aqueous two-phase systems, Central composite design, Design of experiments, Factorial experimental design, Response surface methodology
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Software
- Chemical Engineering(all)
- Process Chemistry and Technology
- Chemistry(all)
- Spectroscopy
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Chemometrics and Intelligent Laboratory Systems, Vol. 149, 09.10.2015, p. 12-21.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Optimization of PEG-salt aqueous two-phase systems by design of experiments
AU - Glyk, Anna
AU - Solle, Dörte
AU - Scheper, Thomas
AU - Beutel, Sascha
PY - 2015/10/9
Y1 - 2015/10/9
N2 - 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 PEG-salt 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.
AB - 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 PEG-salt 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.
KW - Analysis of variance
KW - Aqueous two-phase systems
KW - Central composite design
KW - Design of experiments
KW - Factorial experimental design
KW - Response surface methodology
UR - http://www.scopus.com/inward/record.url?scp=84944181600&partnerID=8YFLogxK
U2 - 10.1016/j.chemolab.2015.09.014
DO - 10.1016/j.chemolab.2015.09.014
M3 - Review article
AN - SCOPUS:84944181600
VL - 149
SP - 12
EP - 21
JO - Chemometrics and Intelligent Laboratory Systems
JF - Chemometrics and Intelligent Laboratory Systems
SN - 0169-7439
ER -