SERS Sensor for Human Glycated Albumin Direct Assay Based on Machine Learning Methods
In this study, a non-labeled sensor system for direct determining human glycated albumin levels for medical application is proposed. Using machine learning methods applied to surface-enhanced Raman scattering (SERS) spectra of human glycated albumin and serum human albumin enabled the avoidance of c...
Main Authors: | Ekaterina A. Slipchenko, Irina A. Boginskaya, Robert R. Safiullin, Ilya A. Ryzhikov, Marina V. Sedova, Konstantin N. Afanasev, Natalia L. Nechaeva, Ilya N. Kurochkin, Alexander M. Merzlikin, Andrey N. Lagarkov |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Chemosensors |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9040/10/12/520 |
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