Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants
Author:
Affiliation:
1. Institute of Applied Physics “Nello Carrara”
2. Italian National Research Council
3. Sesto Fiorentino
4. Italy
5. School of Integrative Engineering
6. Chung-Ang University
7. Seoul
8. Republic of Korea
Abstract
We implement a machine learning classification of similar proteins by PCA mixed with multipeak fitting on SERS spectra for effective discrimination based on valid biological differences.
Funder
Ministero degli Affari Esteri e della Cooperazione Internazionale
National Research Foundation of Korea
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2021/AN/D0AN02137G
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