Effect of caffeic acid adsorption in controlling the morphology of gold nanoparticles: role of surface coverage and functional groups
文献信息
Kyeounghak Kim, Jeong Woo Han
Caffeic acid (CA) is well known for its strong adsorption on metal or metal oxide surfaces mostly due to the catecholic functional group. On the other hand, the detailed adsorption configurations and the effects of functional groups on molecular adsorption have not been clarified yet. In this study, first-principles calculations were implemented to elucidate the adsorption phenomena of CA and its deprotonated forms on Au(100), (110) and (111), and then predict the morphology of Au nanoparticles (AuNPs). The adsorption energetics and configurations were carefully examined by employing van der Waals interactions to take dispersion forces into consideration. It was found that the adsorption strengths and geometries of the adsorbates are significantly changed by the surface coverages, deprotonated forms, and bound functional groups. These changes in adsorption features induce changes in surface energies, thereby resulting in different morphologies of AuNPs. To accelerate the morphology prediction of AuNPs, we demonstrated that the adsorption energy of CA can be rapidly estimated by the sum of the adsorption energies of the effective functional groups. Our results provide not only fundamental information about the adsorption behaviors of organic molecules on metal surfaces, but also insights for application in the customized synthesis of nanoparticles.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.




