Label-free single-molecule digital Raman assay for quantification of low abundance biomarkers (DigiRaman)
Project information
Project duration
-
Project funder
Project coordinator
University of Oulu
Contact information
Project leader
- Tenure-track Assistant Professor
Researchers
Project description
Current protein analysis and sequencing relies mainly on mass spectroscopy that generally requires 1 million copies of proteins. The low sensitivity of mass spectroscopy faces a significant challenge in analyzing trace amount of biomarkers in human biofluids in early stage of diseases and the small amount of low-abundance proteins in single cells. This DigiRaman project aims to develop a novel single-molecule digital Raman assay to first identify and then quantify low-abundance biomarkers. Based on our plasmonic nanogap biosensor, the project will be conducted by integrating single-particle manipulation technique, nanogap-enhanced Raman spectroscopy, active feedback control with machine learning analysis. The technology developed by this project can be the key technologies for single-cell proteomics and diagnostic devices for early diagnosis of diseases.
Project results
08.08.2025: Mulusew's work of Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep Learning-Assisted Plasmonic Nanopore is published on The Journal of Physical Chemistry Letters.
19.12.2025: Cindy's work of Nitrilotriacetic acid functionalized gold nanopillars enable stochastic detection and deep learning analysis of prolines and hydroxyprolines by surface enhanced Raman spectroscopy is published on the Nanoscale.