Application of genetic algorithms and response surface analysis for the optimization of batch chromatographic systems

Treier, Katrin; Lester, Philip; Hubbuch, Jürgen

doi:10.1016/j.bej.2012.02.003

Cited by 14 publications

(3 citation statements)

References 22 publications

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“…Two dilutor volumes (1000 μL and 250 μL capacity), each connected to four tips of the before mentioned LiHa were used. More information about robotic systems can be accessed in former publications of our research group . Since viscosity and ionic strength influence the pipetting process, liquid classes for every stock solution of the 12 translation premix substances were established and calibrated according to procedures described in .…”

Section: Methodsmentioning

confidence: 99%

High‐throughput characterization of an insect cell‐free expression

Richter

Bickel

Osberghaus

et al. 2014

Engineering in Life Sciences

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Cell‐free protein expression is a promising tool for improving protein‐specific expression techniques. Despite their advantages, insect cell‐free expression systems are not as well established as Escherichia coli cell‐free systems. In most studies, characterization and optimization strategies are based on manual “one‐factor‐at‐a‐time” investigations that are expensive and time consuming. In this paper, two insect cell‐free expression systems (Sf9 and High Five™) were reproducibly (CV = 2.9%) implemented on a robotic platform with integrated analytics. All experiments were planned by statistical design of experiments using central composite designs and analyzed by multivariate data analysis. Quadratic response surface models were fitted to the experimental data and model predictivity was validated successfully for both insect cell types. The characterization of the complete in vitro translation process included quantification and visualization of the parameter influences on the expression yield and the robustness of the systems. The results were compared to previous studies, which confirmed the applicability of the new method. In the future, yields from insect cell‐free expression can be enhanced using a comprehensive system characterization based on optimally designed high‐throughput screenings on robotic systems.

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Section: Methodsmentioning

confidence: 99%

High‐throughput characterization of an insect cell‐free expression

Richter

Bickel

Osberghaus

et al. 2014

Engineering in Life Sciences

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“…Parameters with less than 95% significance (p > 0.05) were removed, and the experimental data was refitted to only the significant (p < 0.05) factors to obtain the final reduced model. The combination of different optimized parameters, which gave maximum response, i.e., maximum recovery of favorite enzyme in PEG phase, was tested experimentally to confirm the validity of the model [17,18].…”

Section: Design Of Experiments and Statistical Analysismentioning

confidence: 99%

Recombinant d-galactose dehydrogenase partitioning in aqueous two-phase systems: effect of pH and concentration of PEG and ammonium sulfate

Kianmehr

Pooraskari

Mousavikoodehi

et al. 2014

Bioresour. Bioprocess.

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Background: D-Galactose dehydrogenase (GalDH; EC 1.1.1.48) belongs to the family of oxidoreductases that catalyzes the reaction of β-D-galactopyranose in the presence of NAD + to D-galacto-1,5-lactone and NADH. The enzyme has been used in diagnostic kits to neonatal screen for galactosemia diseases. This article reports the partitioning optimization of recombinant Pseudomonas fluorescens GalDH in aqueous two-phase systems (ATPS). Methods: Preliminary two-phase experiments exhibited that the polyethylene glycol (PEG) concentration, pH value, and concentration of salt had a significant influence on the partitioning efficiency of recombinant enzyme. According to these data, response surface methodology (RSM) with a central composite rotatable design (CCRD) was performed to condition optimization.

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“…With regard to improving the accuracy of material parameters measured by nanoindentation, Chollacoop et al [17] proposed an empirical method to improve the accuracy of material parameter measurement by enriching the indentation method with utilizing double sharp indenters with different tip-top angle. Treier et al [18] combined the genetic algorithm with the requested parameters and applied to the identification of material parameters. Kim et al [19] proposed a size effect model by investigating the effect of roughness in nanoindentation experiments.…”

Section: Introductionmentioning

confidence: 99%

Dimensionless Analysis to Determine Elastoplastic Properties of Thin Films by Indentation

Long

Shen

et al. 2022

Coatings

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By assuming the elastoplastic properties of thin-film materials, a reverse analysis method is proposed by deriving a dimensionless function for the indentation process. The substrate effect is taken into account by assuming a perfect interface between thin-film and substrate materials. In order to obtain the applied load–penetration depth (P-h) curves, the indentation process is numerically modeled as an axisymmetric problem with a rigid-body Berkovich indenter on the semi-infinite substrate when performing finite element (FE) simulations. As a typical soft film/hard substrate problem, the elastic substrate is assumed and the power–law model is used to describe the constitutive properties of thin-film materials. Varying elastic modulus (10–50 GPa), yield strength (60–300 MPa), and hardening exponent (0.1–0.5) characterize different elastoplastic mechanical properties of thin-film materials with film thickness of 10–30 μm. Owing to the good trending P-h curves with the maximum indentation depth up to the 2/3 film thickness for different elastoplastic thin-film materials, a dimensionless function is derived and validated based on the predictions by reliable FE simulations. The proposed dimensionless function elegantly elucidates the essential relationship between the elastoplastic mechanical properties of the thin-film material and indentation responses (e.g., loading and unloading variables). The elastoplastic constitutive curves predicted by the proposed reverse method are confirmed to be in good agreement with the stress-strain curves of materials by FE simulations with the randomly selected elastoplastic mechanical properties and film thicknesses. This study provides a theoretical guidance to understand the explicit relationship between elastoplastic mechanical properties of the thin-film material and indentation responses.

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Application of genetic algorithms and response surface analysis for the optimization of batch chromatographic systems

Cited by 14 publications

References 22 publications

High‐throughput characterization of an insect cell‐free expression

High‐throughput characterization of an insect cell‐free expression

Recombinant d-galactose dehydrogenase partitioning in aqueous two-phase systems: effect of pH and concentration of PEG and ammonium sulfate

Dimensionless Analysis to Determine Elastoplastic Properties of Thin Films by Indentation

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