2006
DOI: 10.1140/epjd/e2006-00043-1
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Amino acid adsorption on single-walled carbon nanotubes

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Cited by 69 publications
(57 citation statements)
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“…However, the size and curvature of a nanoparticle may play a major role in the adsorption patterns of proteins not only due to geometric adaptation of the protein to a nanoparticle of similar size, but also due to changes in the physico-chemical properties of the nanoparticle itself. DFT calculations of amino acid adsorption on a single-walled carbon nanotube (SWCNT) showed that glycine adsorbs more strongly on a nanotube (3,3) than on a flat graphite surface, whereas phenylalanine adsorbs more strongly on a flat graphite surface, and the amino acids cysteine and histidine, showed no significant change in their adsorption energies (Roman et al 2006). Binding free energy calculations of amyloidogenic apoC-II(60-70) peptide on fullerene, CNT and graphene using MD simulations showed that the binding affinity was weakest for the fullerene and strongest for the graphene due to reduced efficiency of π-stacking interactions between the aromatic side chains of the peptide and the fullerene and CNT arising from the increased surface curvature (Todorova et al 2013).…”
Section: Morphologymentioning
confidence: 99%
“…However, the size and curvature of a nanoparticle may play a major role in the adsorption patterns of proteins not only due to geometric adaptation of the protein to a nanoparticle of similar size, but also due to changes in the physico-chemical properties of the nanoparticle itself. DFT calculations of amino acid adsorption on a single-walled carbon nanotube (SWCNT) showed that glycine adsorbs more strongly on a nanotube (3,3) than on a flat graphite surface, whereas phenylalanine adsorbs more strongly on a flat graphite surface, and the amino acids cysteine and histidine, showed no significant change in their adsorption energies (Roman et al 2006). Binding free energy calculations of amyloidogenic apoC-II(60-70) peptide on fullerene, CNT and graphene using MD simulations showed that the binding affinity was weakest for the fullerene and strongest for the graphene due to reduced efficiency of π-stacking interactions between the aromatic side chains of the peptide and the fullerene and CNT arising from the increased surface curvature (Todorova et al 2013).…”
Section: Morphologymentioning
confidence: 99%
“…A part of the free imidazole groups of the mediator polymer would adsorb on CNT surfaces via π -π interaction. [ 28 ] The adsorption density of PVI-[Os(bpy) 2 Cl] calculated using the effective inner surface area of the CNTF fi lms (8.2 cm 2 for 20 μ m thick fi lm) [ 21 ] was (1.6 ± 0.1) × 10 − 10 mol cm…”
Section: Adsorption Of Pvi-[os(bpy) 2 Cl] Inside Cntf Filmsmentioning
confidence: 99%
“…The anionic GOD molecules could be stably entrapped by electrostatic interaction with cationic Os-complex of the mediator polymer that is anchored on the CNT surface via π -π interaction. [ 28 ] The electron-transfer turnover rate for the 20 μ m thick fi lm was calculated from the current value at 25 ° C (0.29 mA), the Faraday constant (96 500 C mol − 1 ), the molecular weight of GOD (186 000 g mol − 1 ), and the content of GOD molecules in …”
Section: Application As a Flexible Anode Of Biofuel Cellsmentioning
confidence: 99%
“…Thus, the addition of carbon nanotubes has no significant influence on the concentration of either the reactant or the organocatalyst and hence the observed effect on the HPESW reaction is likely to be related to the altered properties of the organocatalyst by transient non-covalent interactions with carbon nanotubes. Carbon nanotubes and fullerenes are known to form relatively strong non-covalent interactions with a wide range of amines 22 and amino acids, [23][24][25][26][27] including proline. [28][29][30][31] Whilst the nature of interactions between proline and carbon nanostructures is still not definitively understood, the exact mechanism is likely to reflect a number of cooperative forces, including ionic interactions, 32 N-H … π hydrogen bonding interactions 33 and electron transfer interactions.…”
Section: Introductionmentioning
confidence: 99%