Chemical and Biological Engineering ETDs
Publication Date
Spring 5-16-2026
Abstract
Single-molecule fluorescence spectroscopy is a powerful technique for resolving transient biomolecular dynamics and quantifying free energy landscapes, kinetics, and binding interactions. However, two fundamental limitations restrict its broader application: slow, labor-intensive data acquisition and the limited observation time imposed by fluorophore photobleaching. These limitations hinder its use in drug discovery and biomedical engineering applications that require both high-throughput and access to long-time dynamics. In this work, both challenges are addressed through technical advancements. First, a simple, generalizable approach is introduced to automate data acquisition, eliminating manual intervention during experiments. This increases the acquisition rate by more than an order of magnitude. Second, a method is introduced to extend observation times by controlling the repetition rate of a pulsed excitation source. Using surface-immobilized Alexa Fluor 350 as a model system, decreasing the repetition rate from 40 MHz to 2.5 MHz extends bleaching time by an order of magnitude. Although photon flux decreases, correlation-based analyses such as fluorescence correlation spectroscopy do not suffer a loss in signal-to-noise ratio. Together, these advances can be applied to any single-molecule spectroscopy setup to improve throughput and extend observation times.
Keywords
Single-Molecule Spectroscopy, Automation, Fluorescence Lifetime Correlation Spectroscopy (FLCS), Pulsed Laser
Document Type
Thesis
Language
English
Degree Name
Chemical Engineering
Level of Degree
Masters
Department Name
Chemical and Biological Engineering
First Committee Member (Chair)
John King
Second Committee Member
Nick Carroll
Third Committee Member
William Bricker
Fourth Committee Member
Rama Gullapalli
Recommended Citation
Le, Quyen B.. "Technical Advancements in Single-Molecule Spectroscopy for High-Throughput Measurement of Long-Time Dynamics." (2026). https://digitalrepository.unm.edu/cbe_etds/133