New publication - A Classification-based Methodology for the Estimation of Binary Surfactant Critical Micelle Concentrations

Posted April 11, 2025 at 09:27 AM | categories: news, publication | tags:

In our latest paper, we developed a high-throughput method to efficiently determine the critical micelle concentration (CMC) of binary surfactant mixtures using a 96-well plate setup. Instead of relying on traditional regression techniques, we used a physics-informed classification approach based on regular solution theory to identify the micellization boundary. By combining model-driven experimental design with a dye solubilization assay, we mapped out the CMC across mixture compositions and accurately extracted the binary interaction parameter, β. We validated the method using the SDS-C8E4 system, and extended it to an electrolyte-rich environment, showing less than 15–18% deviation from literature values. This approach not only accelerates formulation screening but also lays the groundwork for analyzing more complex surfactant systems in the future. 

@article{D5DD00058K,
        author = {Chilkunda, Chetan R and Kitchin, John R. and Tilton, Robert D.},
        doi = {10.1039/D5DD00058K},
        journal = {Digital Discovery},
        pages = {-},
        publisher = {RSC},
        title = {A Classification-based Methodology for the Estimation of Binary Surfactant Critical Micelle Concentrations},
        url = {https://doi.org/10.1039/D5DD00058K},
        year = {2025}}

Copyright (C) 2025 by John Kitchin. See the License for information about copying.

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