Facile PEG-based isolation and classification of cancer extracellular vesicles and particles with label-free surface-enhanced Raman scattering and pattern recognition algorithm-Reference-Cited by-同舟云学术

Facile PEG-based isolation and classification of cancer extracellular vesicles and particles with label-free surface-enhanced Raman scattering and pattern recognition algorithm

Published:2021 Issue:6 Volume:146 Page:1949-1955
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Yin Pengju¹²³⁴,Li Guoqian¹²³⁴,Zhang Baoyue⁵⁶⁷⁸,Farjana Haque⁵⁶⁷⁸,Zhao Lei¹²³⁴^ORCID,Qin Hongwei¹²³⁴,Hu Bo¹²³⁴^ORCID,Ou Jianzhen⁵⁶⁷⁸^ORCID,Tian Jie¹²³⁴⁹^ORCID

Affiliation:

1. School of Life Science and Technology

2. Xidian University

3. Xi'an 710126

4. PR China

5. School of Engineering

6. RMIT University

7. Melbourne VIC3001

8. Australia

9. Institute of Automation

Abstract

Extracellular vesicles and particles (EVPs), which contain the same surface proteins as their mother cells, are promising biomarkers for cancer liquid biopsy.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Basic Research Program of Shaanxi Province

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D0AN02257H

Reference35 articles.