A Multiscale Approach to Examine the Adsorption of Fatty Acid Surfactants in Bacterial Membranes

The manufacturing of detergent products such as laundry detergents or household cleaners is of increasing interest to the chemical industry. Surfactants and fatty acids are the most important ingredients in detergent formulations, as they are responsible for the cleaning power and the antimicrobial efficiency of the cleaning product. Computational tools can play a key role in the design and performance optimization of detergent products as they allow for quick and efficient screening of candidate surfactants in detergent formulations. In the present study, an automated fragmentation and parametrization protocol is utilized to investigate the adsorption of candidate fatty acid surfactants towards bacterial inner membranes. The effect of the surfactant size, concentration, and tendency for micelle formation on the degree of their adsorption on the inner membrane is examined. Analysis demonstrates that surfactant–inner membrane interaction weakens with surfactant size and aggregation tendency, as confirmed by pertinent experimental and simulation studies. The outcome of this study demonstrates that the adopted multiscale protocol allows for an accurate and cost-effective description of the systems examined at timescales much shorter than those required in laboratory experiments and atomistic simulations.