3 citations · 4 across the 8 of their papers we have counts for
9 papers
Automatic control of gold nanoparticle clustering in plasmonic nanopores based on Raman spectroscopic feedback
Iuliia Sheinman, Yingqi Zhao, Zhendai Huang +5
Plasmonic nanopores have been used to trap single nanoparticles using electric bias for single-molecule surface enhanced Raman spectroscopic (SM-SERS) detection and sequencing. Whi…
Physics-Aligned Deep Learning Enables SERS Resolving and Sequencing of Dynamic Single-Molecule DNA Oligomers in Plasmonic Nanocavity
Kuo Zhan, Peilin Xin, Yingqi Zhao +7
Single-molecule surface-enhanced Raman spectroscopy (SM-SERS) captures dynamic molecular behavior with ultrahigh sensitivity, but its biopolymer analysis is hindered by strong spec…
AI-Driven SERS for Non-invasive and Label-Free Extracellular Vesicle Detection Across Cellular Origins in Tears and Sweat
Yang Li, Xiaoming Lyu, Ling Xia +5
Wearable sensing technology capable of point-of-care, continuous and non-invasive analysis of exosomes in biofluid such as tears and sweat is an essential part for future personali…
Label-free SERS Discrimination of Native Proline Hydroxylation at Single-molecule peptide by Deep Learning-assisted plasmonic nanopore
Yingqi Zhao, Kuo Zhan, Pei-Lin Xin +6
Post-translational modifications (PTMs) play essential roles in regulating protein structure, function, and cellular signalling. However, peptide level discrimination of hydroxylat…
Resolving Single-Peptide Phosphorylation Dynamics in Plasmonic Nanopores using Physics-Informed Bi-Path Model
Mulusew W. Yaltaye, Yingqi Zhao, Kuo Zhan +2
Protein phosphorylation provides a dynamic readout of cellular signaling yet remains difficult to detect at low abundance and stoichiometry. Single-molecule surface-enhanced Raman…
Bridging Optical Sensing and Wearable Health Monitoring: A Functionalized Plasmonic Nanopillar for Non-Invasive Sweat Glucose Detection
Ling Liu, Kuo Zhan, Joni Kilpijärvi +8
Continuous glucose monitoring (CGM) is vital for diabetes care, but current systems rely on invasive implants or electrochemical sensors that often cause discomfort and skin irrita…
Label-free SERS Discrimination of Proline from Hydroxylated Proline at Single-molecule Level Assisted by a Deep Learning Model
Yingqi Zhao, Kuo Zhan, Pei-Lin Xin +4
Discriminating the low-abundance hydroxylated proline from hydroxylated proline is crucial for monitoring diseases and eval-uating therapeutic outcomes that require single-molecule…
Deep learning assisted SERS detection of prolines and hydroxylated prolines using nitrilotriacetic acid functionalized gold nanopillars
Yuan Zhang, Kuo Zhan, Peilin Xin +5
Proline (Pro) is one kind of proteinogenic amino acid and an important signaling molecule in the process of metabolism. Hydroxyproline (Hyp) is a product on Pro oxygen sensing post…
Label-free detection of exosomes from different cellular sources based on surface-enhanced Raman spectroscopy combined with machine learning models
Yang Li, Xiaoming Lyu, Kuo Zhan +3
Exosomes are significant facilitators of inter-cellular communication that can unveil cell-cell interactions, signaling pathways, regulatory mechanisms and disease diagnostics. Non…