Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques
Author:
Affiliation:
1. Department of Biomedical Engineering
2. Erciyes University
3. Kayseri 38039
4. Turkey
5. Department of Chemistry
6. Gaziantep University
7. Gaziantep 27310
8. Department of Biology
9. ERNAM-Nanotechnology Research and Application Center
Abstract
Herein, surface-enhanced Raman spectroscopy (SERS) combined with supervised and unsupervised machine learning techniques were used for the identification of methicillin-resistant and methicillin-sensitive Staphylococcus aureus.
Funder
Türkiye Bilimler Akademisi
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Erciyes Üniversitesi
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/AN/D0AN00476F
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