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Observation and Analysis of Blinking Surface-enhanced Raman Scattering

Observation and Analysis of Blinking Surface-enhanced Raman Scattering

Published on: January 11, 2018

Decoding Physicochemical Interactions Via Single-Molecule Fluorescence Blinking.

Yifeng Cheng¹, Jian Mao¹, Yue Li¹

¹State Key Laboratory of Heavy Oil Processing and College Chemistry of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China.

The Journal of Physical Chemistry Letters

|March 16, 2026

Summary

This summary is machine-generated.

Fluorescence blinking of rhodamine dyes reveals local chemical environments. Machine learning decodes blinking patterns to predict peptide properties like charge and hydrophobicity, creating a new chemical readout.

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Area of Science:

Chemical Physics
Biophysical Chemistry
Spectroscopy

Background:

Single-molecule fluorescence blinking is a phenomenon observed in fluorophores like rhodamine dyes.
This blinking involves reversible transitions between emissive (open) and nonemissive (closed) states.
These transitions are sensitive to the surrounding microenvironment.

Purpose of the Study:

To establish single-molecule fluorescence blinking as a quantitative method to probe local physicochemical interactions.
To develop a mechanism-based chemical readout using blinking dynamics.
To correlate blinking behavior with specific peptide properties.

Main Methods:

Covalently linking hydroxymethyl silicon-rhodamine (HMSiR) to peptides with varying electrostatic, hydrophobic, and hydrogen-bonding characteristics.
Recording and analyzing single-molecule fluorescence blinking trajectories under controlled conditions.
Utilizing machine learning regression to map blinking descriptors to physicochemical parameters.

Main Results:

Peptide microenvironments significantly modulated the fluorophore's spirocyclization equilibrium, affecting blinking dynamics.
Blinking trajectories provided distinct optical signatures of peptide-fluorophore interactions.
Machine learning accurately predicted peptide net charge, hydrophobicity, and hydrogen-bonding capacity from blinking descriptors.

Conclusions:

Single-molecule fluorescence blinking dynamics serve as a direct and interpretable readout of local physicochemical interactions.
The study successfully transformed stochastic blinking into a mechanism-based chemical sensing tool.
This approach offers a novel way to characterize molecular interactions and microenvironments.