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

Pinkie J. Eravuchira, Martina Banchelli, Cristiano D’Andrea, Marella de Angelis, Paolo Matteini, Israel Gannot

2020Journal of Biomedical Optics26 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Raman spectroscopyMaterials scienceRaman scatteringFiberSpectroscopySIGNAL (programming language)Optical fiberOptoelectronicsSurface-enhanced Raman spectroscopyNanotechnologyOpticsComputer sciencePhysicsQuantum mechanicsProgramming languageComposite materialSpectroscopy Techniques in Biomedical and Chemical ResearchGold and Silver Nanoparticles Synthesis and ApplicationsAdvanced Biosensing Techniques and Applications
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