Hollow core photonic crystal fiber-assisted Raman spectroscopy as a tool for the detection of Alzheimer's disease biomarkers

Autor: Pinkie J. Eravuchira, Israel Gannot, Paolo Matteini, Cristiano D’Andrea, Marella de Angelis, Martina Banchelli
Rok vydání: 2020
Předmět:
Zdroj: Journal of Biomedical Optics
Journal of biomedical optics 25 (2020). doi:10.1117/1.JBO.25.7.077001
info:cnr-pdr/source/autori:Eravuchira P.J.; Banchelli M.; DAndrea C.; De Angelis M.; Matteini P.; Gannot I./titolo:Hollow core photonic crystal fiber-assisted Raman spectroscopy as a tool for the detection of Alzheimers disease biomarkers/doi:10.1117%2F1.JBO.25.7.077001/rivista:Journal of biomedical optics/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:25
ISSN: 1560-2281
DOI: 10.1117/1.JBO.25.7.077001
Popis: Significance: Alzheimer’s disease (AD) is an irreversible and progressive disorder that damages brain cells and impairs the cognitive abilities of the affected. Developing a sensitive and cost-effective method to detect Alzheimer’s biomarkers appears vital in both a diagnostic and therapeutic perspective. Aim: Our goal is to develop a sensitive and reliable tool for detection of amyloid β (1-42) peptide (Aβ42), a major AD biomarker, using fiber-enhanced Raman spectroscopy (FERS). Approach: A hollow core photonic crystal fiber (HCPCF) was integrated with a conventional Raman spectroscopic setup to perform FERS measurements. FERS was then coupled with surface-enhanced Raman spectroscopy (SERS) to further amplify the Raman signal thanks to a combined FERS-SERS assay. Results: A minimum 20-fold enhancement of the Raman signal of Aβ42 as compared to a conventional Raman spectroscopy scheme was observed using the HCPCF-based light delivery system. The signal was further boosted by decorating the fiber core with gold bipyramids generating an additional SERS effect, resulting in an overall 200 times amplification. Conclusions: The results demonstrate that the use of an HCPCF-based platform can provide sharp and intense Raman signals of Aβ42, in turn paving the way toward the development of a sensitive label-free detection tool for early diagnosis of AD.
Databáze: OpenAIRE