Fluorescence resonance energy transfer between phenanthrene and PAMAM dendrimers

Literature Information

Publication Date 2010-06-23
DOI 10.1039/B924522G
Impact Factor 3.676
Authors

Mercy Lard, Seung Ha Kim, Sijie Lin, Priyanka Bhattacharya, Pu Chun Ke, Monica H. Lamm


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Abstract

We describe herein an adsorption-induced energy transfer between phenanthrene, a major environmental pollutant, and a fluorescently labeled dendrimer acting as a host molecule. We find experimentally that such energy transfer is the most efficient at a solvent pH of 8 and for a phenanthrene ∶ dendrimer molar ratio of 1 ∶ 2. Using molecular dynamics simulations we show that the strongest binding interactions occur between phenanthrene and the primary amines of the dendrimer. The simulations provide evidence that at low pH, phenanthrene–phenanthrene interactions are favorable and compete with phenanthrene–dendrimer binding. This study offers a new scheme for detecting dendrimer molecular assembly and a physical basis for exploiting dendrimer nanotechnologies for water purification and environmental remediation.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

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.

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