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Automated System for Single Molecule Fluorescence Measurements of Surface-immobilized Biomolecules

Automated System for Single Molecule Fluorescence Measurements of Surface-immobilized Biomolecules

Published on: November 2, 2009

Multiscale modeling of surface enhanced fluorescence.

Pablo Grobas Illobre¹, Piero Lafiosca¹, Teresa Guidone¹

¹Scuola Normale Superiore Piazza dei Cavalieri 7 56126 Pisa Italy tommaso.giovannini@sns.it chiara.cappelli@sns.it.

Nanoscale Advances

|June 27, 2024

Summary

This summary is machine-generated.

This study introduces a multiscale approach for modeling surface-enhanced fluorescence (SEF), revealing how nanoparticle (NP) surface details significantly impact fluorescence signals. Understanding these atomistic effects is crucial for optimizing SEF applications.

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Area of Science:

Physical Chemistry
Materials Science
Computational Chemistry

Background:

Surface-enhanced fluorescence (SEF) significantly amplifies chromophore fluorescence near plasmonic nanostructures.
Accurate SEF mechanism understanding requires atomistic theoretical models due to surface sensitivity.
Existing models often lack the atomistic detail to capture complex molecule-nanostructure interactions.

Purpose of the Study:

To present the first fully atomistic multiscale approach for modeling surface-enhanced fluorescence (SEF).
To enable the description of realistic nanostructure-chromophore systems.
To provide physically-based insights into SEF mechanisms at the atomic level.

Main Methods:

Coupling Density Functional Theory (DFT) with advanced atomistic electromagnetic methods.
Development of a multiscale computational framework for SEF.
Modeling interactions between chromophores and plasmonic nanostructures with atomic precision.

Main Results:

Demonstrated the capability of the multiscale approach to model realistic SEF systems.
Computed results highlight the critical influence of nanoparticle (NP) morphology and surface atomistics on fluorescence.
Identified specific atomistic features that either enhance or quench the SEF signal.

Conclusions:

The developed fully atomistic multiscale method provides reliable, physically-based SEF modeling.
Nanoparticle surface morphology and atomistic details are key determinants of SEF intensity.
This approach advances the fundamental understanding of SEF, crucial for its practical applications.