Database of Surfactant Structure and Properties to Aid in the Development of Fluorine-Free, Fire-Suppressing Surfactants and Foams.

ABSTRACT: A database is developed to facilitate correlations between surfactant structure, properties, and foam fire suppression and to develop machine learning models. Models and structure-property relationships are crucial for developing insights into surfactant design and development for a specific application such as firefighting. The database contains foam fire suppression metrics for 71 individual surfactants and 116 mixture formulations with well-characterized chemical structures. Thirty-six of the 71 are synthesized, and the rest are commercial. In addition, the database contains 13 commercial individual surfactants and 48 commercial mixture formulations without well-defined structures. Properties include surfactant critical micelle concentration, solution surface tension, and interfacial te

SUBMITTER: Hinnant KM 

PROVIDER: S-EPMC12461422 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature