Abstract
Engine deposits can reduce performance and increase emissions, particularly for modern direct-injection fuel delivery systems. Surfactants known as deposit control additives (DCAs) adsorb and self-assemble on the surface of deposit precursors to keep them suspended in the fuel. Here, we show how molecular simulations can be used to virtually screen the ability of surfactants to bind to polyaromatic hydrocarbons, comprising a major class of carbonaceous deposits. We use molecular dynamics with the adaptive biasing force method to generate the potential of mean force as a function of the vertical distance between the surfactants and deposits in gasoline and diesel fuel surrogates. We find that a zwitterionic surfactant outperforms a conventional polyisobutylene succinimide for binding to these aromatic species. The amine groups in the succinimide headgroup only weakly adsorb on the polyaromatic deposit, while additional functional groups in the zwitterionic surfactant, particularly the quarternary ammonium ion, markedly enhance the binding strength. We decompose the adsorption free energies of the surfactants into their entropic and enthalpic components, to find that the latter dominates the attraction from these non-aqueous solvents. The adsorption free energy of both surfactants is slightly weaker from n-hexadecane (diesel) than iso-octane (gasoline), which is due to the larger steric barrier from stronger molecular layering of the former on the deposit. Density functional theory calculations of the adsorption of DCA fragments validate the force field used in the molecular dynamics simulations and provide further insights into the nature of the intermolecular interactions. The approach introduced here shows considerable promise for accelerating the discovery of novel DCAs to facilitate more advanced fuel formulations to reduce emissions.
| Original language | English |
|---|---|
| Pages (from-to) | 1900-1913 |
| Number of pages | 14 |
| Journal | Langmuir |
| Volume | 41 |
| Issue number | 3 |
| Early online date | 16 Jan 2025 |
| DOIs | |
| Publication status | Published - 28 Jan 2025 |
Funding
The authors thank Shell for support through the Shell-Imperial College London University Technology Centre for Mobility and Lubricants and the Engineering and Physical Sciences Research Council (EPSRC) for funding through the InFUSE Prosperity Partnership (EP/V038044/1). J.P.E. thanks the Royal Academy of Engineering (RAEng) for support through the Research Fellowships scheme. D.D. is grateful for a Shell/RAEng Research Chair in Complex Engineering Interfaces. This work used the ARCHER2 UK National Supercomputing Service (https://www.archer2.ac.uk) under the e850 project from the Access to High Performance Computing 2023 Call 2. The authors thank Pablo Navarro Acero (Nostrum Biodiscovery), Robert Mainwaring (Shell UK), Roger Cracknell (Shell UK), Tushar Bera (Shell USA), and Allen Aradi (Shell USA) for useful discussions.
| Funders | Funder number |
|---|---|
| Engineering and Physical Sciences Research Council | EP/V038044/1 |
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