2015
DOI: 10.1002/jps.24602
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Osmotic Virial Coefficients as Access to the Protein Partitioning in Aqueous Two-Phase Systems

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Cited by 12 publications
(5 citation statements)
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References 21 publications
(49 reference statements)
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“…Kress et al 48 observed the decrease in B 22 of an immunoglobulin G (IgG) when increasing PEG2000, sodium citrate and NaCl solute concentration, if used separately. However, the mutual effect of PEG and salts resulted in a shift of B 22 from negative to almost neutral values when increasing the NaCl amount if used together 32 . This behaviour has been explained by a solubilizing effect of IgG in PEG2000 induced by NaCl until a maximum salt concentration.…”
Section: Resultsmentioning
confidence: 98%
See 1 more Smart Citation
“…Kress et al 48 observed the decrease in B 22 of an immunoglobulin G (IgG) when increasing PEG2000, sodium citrate and NaCl solute concentration, if used separately. However, the mutual effect of PEG and salts resulted in a shift of B 22 from negative to almost neutral values when increasing the NaCl amount if used together 32 . This behaviour has been explained by a solubilizing effect of IgG in PEG2000 induced by NaCl until a maximum salt concentration.…”
Section: Resultsmentioning
confidence: 98%
“…Protein partitioning measurements. Anti-CD20 repartition between aqueous and PEG phases has been estimated by the method described by Kress et al 32 . A solution (5 mL) containing Na 2 SO 4 1.1 M (13.54 wt.%) and PEG400 10.46% V/V (10.22 wt.%) in HEPES 0.1 M at pH 7.4, was added with 200 μL Anti-CD20 solution 10.3 mg mL −1 in the same buffer.…”
Section: Methodsmentioning
confidence: 99%
“…In literature, several modeling approaches for the phase behavior of ATPS are suggested as the application of osmotic virial coefficient. , The application of virial coefficients in the model approach has the advantage that proteins can be included in the model. Furthermore, Gibbs Excess Energy models , or equations of state (EOS) , can be applied to model the phase behavior of ATPS.…”
Section: Introductionmentioning
confidence: 99%
“…With a wide range of ILs able to form ABS and the complex nature of proteins, it is problematic to generalize and predict the behavior of proteins using these systems, and thus, it is necessary to establish well‐known models that will help the understanding of those mechanisms. Currently, there are mathematical and computational models that can help to predict some aspects of the formation and partitioning process of ABS, such as regression analysis, molecular dynamics (MD) simulations, conductor like screening model for real solvents (COSMO‐RS) and perturbed chain‐statistical associating fluid theory (PC‐SAFT) . As example, the partitioning behavior of two amino acids (tyrosine and leucine) using IL‐based ABS was successfully predicted using regression analysis with information of ABS characteristics and quantitative structure activity relationship (QSAR) of three other amino acids (tryptophan, phenylalanine and valine) .…”
Section: Introductionmentioning
confidence: 99%
“…As example, the partitioning behavior of two amino acids (tyrosine and leucine) using IL‐based ABS was successfully predicted using regression analysis with information of ABS characteristics and quantitative structure activity relationship (QSAR) of three other amino acids (tryptophan, phenylalanine and valine) . The use of osmotic virial coefficients as access to the protein (immunoglobulin G, IgG) partitioning in PEG‐phosphate ABS (without IL as phase forming agent) was also demonstrated, and although this approach has not yet been applied to systems composed of ILs, it seems to be a feasible option to give further insights about the mechanisms of protein partitioning in systems with ILs. MD simulations are also applied in the study of IL‐based ABS formation, providing further insights to the mutual solubilities of ILs, salts and polymers, and then the main interactions governing the phase demixing at molecular level .…”
Section: Introductionmentioning
confidence: 99%