Unknown

Dataset Information

Surface-enhanced Raman spectroscopy of tears: toward a diagnostic tool for neurodegenerative disease identification.


ABSTRACT:

Significance

A noninvasive method based on surface-enhanced Raman spectroscopy (SERS) of tears was proposed as a support for diagnosing neurodegenerative pathologies, including different forms of dementia and Alzheimer's disease (AD). In this field, timely and reliable discrimination and diagnosis are critical aspects for choosing a valid medical therapy, and new methods are highly required.

Aim

The aim is to evince spectral differences in SERS response of human tears from AD affected, mild cognitive impaired (MCI), and healthy control (Ctr) subjects.

Approach

Human tears were characterized by SERS coupled with multivariate data analysis. Thirty-one informed subjects (Ctr, MCI, and AD) were considered.

Results

Average SERS spectra from Ctr, MCI, and AD subjects

SUBMITTER: Cennamo G 

PROVIDER: S-EPMC7406892 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature