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Human blood plasma SERS analysis using silver nanoparticles for cardiovascular diseases detection
Sahar Z. Al-Sammarraie
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Samara National Research University, Russia
Paper #9010 received 20 Aug 2023; revised manuscript received 8 Nov 2023; accepted for publication 8 Nov 2023; published online 16 Jan 2024.
DOI: 10.18287/JBPE24.10.010301
Abstract
In recent years, the use of Raman and surface enhanced Raman spectroscopy for disease detection has grown. The motives for their increased use have commonly been attributed to their well-known benefits, such as the creation of narrow spectral bands that are characteristic of the molecular components present, and high sensitivity and specificity that they can provide. The aim of this work is the analysis of spectral features of plasma in patients with cardiovascular diseases utilizing surface enhanced Raman spectroscopy to determine the presence or absence of the disease. The investigation revealed spectrum difference between the patient and healthy volunteers’ groups at the observed Raman bands. 146 patients and 67 healthy subjects were analyzed. Classification of the patient group with cardiovascular diseases was made based on the projection on latent structures with 99% accuracy. Stability of the classifier was checked with the implementation of cross-validation and separation of analyzed data into training and test sets. The obtained results demonstrate that the proposed SERS technique is stable and has significant potential in clinical diagnostic applications.
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