Surface-enhanced Raman scattering with nanophotonic and biomedical amplifying systems for a more accurate diagnosis of Alzheimer's disease
Abstract
Data di Pubblicazione:
2022
Abstract:
Alzheimer's disease (AD) is the most common neurodegenerative disorder in the elderly with an incidence that progressively increases worldwide [1]. One of the main neuropathological hallmarks of AD is the presence of amyloid-b protein (Ab) aggregates which forms extracellular amyloid plaques [2]. At present, clinical diagnosis of AD relies on NINCDS-ADRDA (National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer's Disease and Related Disorders Association) criteria that permit to classify the disease as possible or probable, but not definite (which still requires neuropathological examinations) [3]. This is partially due to the fact that the clinical, laboratory and instrumental biomarkers investigated are not specific for AD and can be altered in other neurodegenerative conditions [4].
In this work, we present an innovative approach in which a seed amplification assay (SAA) capable to detect traces of pathological Ab species in the cerebrospinal fluid (CSF) of patients with AD [5] is combined with Surface Enhanced Raman Spectroscopy for the ultrasensitive analysis of CSF collected from extensively-characterized patients with AD or other neurological conditions.
Our findings show that SERS analysis of SAA end products through an optimized low-cost silver nanowires/PTFE SERS-active substrate [6,7], supported by machine learning approach [8] and correlated with the other clinical, instrumental and laboratory findings, could reveal chemo-structural information useful to distinguish AD from other neurological diseases in living patients.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
SERS; Surface Enhanced Raman Scattering; Alzheimer disease; machine learning
Elenco autori:
Farnesi, Edoardo; Marzi, Chiara; Polykretis, Panagis; DE ANGELIS, Marella; Matteini, Paolo; Barucci, Andrea; Banchelli, Martina; D'Andrea, Cristiano
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