Key research themes
1. How can metallic nanostructures modify fluorophore photophysics to enhance fluorescence signals in biotechnology?
This research area investigates the use of metal-enhanced fluorescence (MEF) via metallic nanostructures, primarily silver nanoparticles and thin films, to manipulate the excited-state dynamics of fluorophores near metal surfaces. The presence of metal alters radiative decay rates and local electromagnetic fields, resulting in amplified fluorescence intensity, altered lifetimes, and improved photostability. These photophysical modifications enable enhanced sensitivity and reliability in fluorescence-based biotechnological assays.
2. What are effective strategies and molecular designs to achieve fluorescence enhancements through fluorophore structural modification and chromophore environment engineering?
This theme explores molecular engineering approaches to increase fluorescence signals by restricting fluorophore intramolecular motions, selectively binding fluorogenic dyes to biological targets, and tuning chromophore electronic structures. Included are synthetic fluorescent chromophores based on GFP analogs, fluorogenic ligands exhibiting aggregation-induced emission (AIE), and engineered fluorescent proteins and mutants designed to achieve spectral tuning and enhanced brightness without chemical chromophore modifications.
3. How can fluorescence be quantitatively recovered and robustly measured in complex biological samples subject to quenching, scattering, and autofluorescence?
Accurately quantifying fluorescence in biological matrices is challenging due to absorption, scattering, and background autofluorescence that distort the intrinsic signals. This field develops experimental and computational methods to recover intrinsic fluorophore emissions and concentrations by correcting for spectral distortions and heterogeneity of biological tissues and fluids. Innovations include spectral unmixing, experimental calibration with optical property measurements, ratiometric sensing, and modeling approaches to separate fluorophore signals from interfering absorbers and scattering media, enabling more reliable biological and medical fluorescence applications.