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Hollow core photonic crystal fiber-assisted Raman spectroscopy as a tool for the detection of Alzheimer’s disease biomarkers
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 perspe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330420/ https://www.ncbi.nlm.nih.gov/pubmed/32618152 http://dx.doi.org/10.1117/1.JBO.25.7.077001 |
Sumario: | 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 [Formula: see text] (1-42) peptide ([Formula: see text]), 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 [Formula: see text] 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 [Formula: see text] , in turn paving the way toward the development of a sensitive label-free detection tool for early diagnosis of AD. |
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