78 citations · 140 across the 10 of their papers we have counts for
10 papers
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…
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…
A novel particle-in-well technology for single-molecule sequencing by surface-enhanced Raman spectroscopy
Eva Bozo, Pei-Lin Xin, Yingqi Zhao +5
Single-molecule surface-enhanced Raman spectroscopy based on a particle trapped in a plasmonic nanopores provides a unique method for continued and controlled detection of peptide…
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…
SAPNet: a deep learning model for identification of single-molecule peptide post-translational modifications with surface enhanced Raman spectroscopy
Mulusew W. Yaltaye, Yingqi Zhao, Eva Bozo +4
Nanopore resistive pulse sensors are emerging technologies for single-molecule protein sequencing. But they can hardly detect small post-translational modifications (PTMs) such as…
Hyperbolic Metamaterial Nanoparticles for Efficient Hyperthermia in the II and III Near-Infrared Windows
Yingqi Zhao, Marzia Iarossi, Nicolò Maccaferri +6
The use of gold nanoparticles for hyperthermia therapy in near infrared (NIR) spectral regions has catalysed substantial research efforts due to the potential impact in clinical th…
lambda DNA through a plasmonic nanopore What can be detected by means of Surface Enhanced Raman Scattering?
Aliaksandr Hubarevich, Jian-An Huang, Giorgia Giovannini +6
Engineered electromagnetic fields in plasmonic nanopores enable enhanced optical detection and their use in single molecule sequencing. Here, a plasmonic nanopore prepared in a thi…
Controlled Intracellular Delivery of Single Particles in Single Cells by 3D Hollow Nanoelectrodes
Jian-An Huang, Valeria Caprettini, Yingqi Zhao +6
We present an electrophoretic platform based on 3D hollow nanoelectrodes capable of controlling and quantifying the intracellular delivery of single nanoparticles in single selecte…