Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Determination of chronic degenerative diseases by Raman spectroscopy, principal component analysis, and saliva biomarkers

Not Accessible

Your library or personal account may give you access

Abstract

We analyzed saliva samples' Raman spectra. We analyze the Raman spectra of salivary biomarkers such as albumin, alanine aminotransferase, cortisol, and melatonin. With the peaks found in the saliva spectrum, we associate them with chronic degenerative diseases.

© 2023 The Author(s)

PDF Article
More Like This
Improvements in Alzheimer’s Disease Diagnosis using Principal Component Analysis (PCA) in Combination with Raman Spectroscopy

John KJ Archer, Caroline D Sudworth, Rachel Williams, Thien How, Nicholas Stone, David Mann, and Richard A Black
6628_37 European Conference on Biomedical Optics (ECBO) 2007

Integral Analysis to Detect of Type 2 Diabetes Using Biomarkers and Raman Spectroscopy.

N. Vázquez Osorio, F. Gutiérrez-Delgado, N. González-Viveros, C. Villalba-Hernández, F. Narea-Jiménez, JL Flores-Guerrero, and J. Castro-Ramos
JTh4B.27 Frontiers in Optics (FiO) 2020

Surface-enhanced Raman spectroscopy differences of saliva between lung cancer patients and normal people

Xiaozhou Li, Tianyue Yang, Siqi Li, and Ting Yu
808722 European Conference on Biomedical Optics (ECBO) 2011

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.