Ranking the affinity of aromatic residues for carbon nanotubes by using designed surfactant peptides

A series of surfactant peptides were created to evaluate the affinity of aromatic AAs for single-walled carbon nanotubes in the absence of complications from peptide folding or self-association. Each surfactant peptide has a lipidlike architecture, with two Lys residues at the C-terminus as a hydrophilic head, five Val residues to form a hydrophobic tail, and the testing AA at the N-terminus. Raman and CD spectroscopic studies reveal that the surfactant peptides have a large unordered structural component which is independent of peptide concentration, suggesting that the peptides undergo minimal association under experimental conditions, thus removing this interference from interpretation of the peptide/carbon nanotube interactions. A lack of peptide self-association is also indicated by sedimentation equilibrium ultracentrifugation results. Optical spectroscopy of the peptide/carbon nanotube dispersions indicate that among the three aromatic AAs, tryptophan has the highest affinity for carbon nanotubes (both bundled and individual states) when incorporated into a surfactant peptide, while the Tyr-containing peptide is more selective for individual carbon nanotubes. Phe has the lowest overall affinity for carbon nanotubes. Raman spectra of dispersions made with SPF, SPY and SPW display similar types of nanotubes dispersed, although differences in the relative nanotube populations are observed by optical spectroscopy.