Comparative Study Into the Effect of Detector Noises and Sensitivity on the Serum <scp>SERS</scp> Analysis: Example of Non‐Communicable Diseases Discrimination
The aim of the study is to compare the performance of surface-enhanced Raman spectroscopy (SERS) analysis of serum using a non-cooled detector (EnSpectr R785) and a high spectral resolution detector (Renishaw) in the task of discrimination between the patients with chronic heart failure and the patients with chronic obstructive pulmonary disease. The SERS-based solution of the classification problem demonstrates an insignificant relationship between the disease classification accuracy and detector quality (classification accuracy for the high-resolution setup is 0.84 and for the low-cost setup is 0.81). In the data recorded on Renishaw setup, the most significant bands are 611, 675, 720, 804, 1187, 1495, and 1847 cm<sup>-1</sup>; for the EnSpectr setup-721, 1051, and 1665 cm<sup>-1</sup>. The results have revealed equal discrimination capabilities in the EnSpectr and the Renishaw setups; however, the Renishaw setup has more prospects for identifying the spectral contribution of pathologically associated analytes.
Authors
- P. A. Lebedev (ORCID: https://orcid.org/0000-0003-3501-2354)
- Yulia А. Khristoforova (ORCID: https://orcid.org/0000-0001-8851-4732)
- Yury V. Kistenev (ORCID: https://orcid.org/0000-0001-5760-1462)
- Lyudmila A. Bratchenko (ORCID: https://orcid.org/0000-0003-3781-9274)
- Ivan А. Bratchenko (ORCID: https://orcid.org/0000-0003-3629-7064)
- Mikhail S. Snegerev
- Irina A. Pimenova
- Vitaly Kupaev
Institutions
- National Research Tomsk State University (RU)
- Samara National Research University (RU)
- Samara State Medical University (RU)
- North-Western State Medical University named after I.I. Mechnikov (RU)
Publication Details
- Journal
- Journal of Biophotonics
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1002/jbio.202400475
- Citations
- 1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 1.63