Influence of Co-Solutes and Solvents on Diffusion Interaction Parameters in Multicomponent Solutions: New Insights through the Kirkwood–Buff Theory

We introduce new mathematical expressions for the diffusion interaction parameter in liquid multicomponent solutions. Our theory, which incorporates Kirkwood-Buff integrals, expresses the diffusion interaction parameter as the derivative of the logarithmic solute thermodynamic activity coefficient with respect to solute concentration. Unlike previous approaches, our expressions do not rely on approximations or truncated Taylor series and are tailored differently for binary, ternary, and higher-order solutions. In binary solutions, the resulting expressions indicate that solvation properties primarily govern solute association. In ternary solutions, however, cross-interactions dominate, revealing mechanisms that can either suppress or induce aggregation effects. These findings are supported by experimental data from binary aqueous solutions containing urea and paracetamol, as well as from ternary solutions involving monoclonal antibodies (mAbs) in different formulations. Our results pave the way for the development of tailored formulations that mitigate protein aggregation and enhance shelf life. Overall, the proposed expressions offer a comprehensive framework that integrates diffusive and thermodynamic properties to deepen our understanding of solute behavior and stabilization in complex solution environments.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-09-29
DOI
https://doi.org/10.1021/acs.jpcb.5c03102
Citations
2
Primary Topic
Thermal and Kinetic Analysis
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of Co-Solutes and Solvents on Diffusion Interaction Parameters in Multicomponent Solutions: New Insights through the Kirkwood–Buff Theory

Oliver Burkert, Jens Smiatek, Niklas Adebar, Moritz Schulze et al.
2 citations
The Journal of Physical Chemistry B
Thermal and Kinetic Analysis
1.04
article

Influence of Co-Solutes and Solvents on Diffusion Interaction Parameters in Multicomponent Solutions: New Insights through the Kirkwood–Buff Theory

Oliver Burkert, Jens Smiatek, Niklas Adebar, Moritz Schulze, Jiyoung Yang, Matthias Brosz
article en
2 citations

Abstract

We introduce new mathematical expressions for the diffusion interaction parameter in liquid multicomponent solutions. Our theory, which incorporates Kirkwood-Buff integrals, expresses the diffusion interaction parameter as the derivative of the logarithmic solute thermodynamic activity coefficient with respect to solute concentration. Unlike previous approaches, our expressions do not rely on approximations or truncated Taylor series and are tailored differently for binary, ternary, and higher-order solutions. In binary solutions, the resulting expressions indicate that solvation properties primarily govern solute association. In ternary solutions, however, cross-interactions dominate, revealing mechanisms that can either suppress or induce aggregation effects. These findings are supported by experimental data from binary aqueous solutions containing urea and paracetamol, as well as from ternary solutions involving monoclonal antibodies (mAbs) in different formulations. Our results pave the way for the development of tailored formulations that mitigate protein aggregation and enhance shelf life. Overall, the proposed expressions offer a comprehensive framework that integrates diffusive and thermodynamic properties to deepen our understanding of solute behavior and stabilization in complex solution environments.

The Journal of Physical Chemistry BVol. 129(40)
University of Stuttgart (DE), Boehringer Ingelheim (Germany) (DE)
Openalex Percentile: Top 22%
Thermal and Kinetic Analysis
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.