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Label-Free Surface-Enhanced Raman Spectroscopy Detection of Amyloid Beta on Silver Nanostructured Substrates for Alzheimer's Diagnosis. | LitMetric

AI Article Synopsis

  • - Alzheimer's disease (AD) requires early diagnosis, and a new SERS sensor made from biomass-derived carbon fibers with silver nanoparticles (Ag@CFs) is being used for detecting amyloid beta Aβ (25-35) to aid in this process.
  • - The sensor's performance was tested with rhodamine 6G, showing a significant enhancement that proves its capability to detect very low concentrations of amyloid beta.
  • - This innovative Ag@CFs-based SERS sensor could offer a non-invasive, cost-effective method for early AD diagnosis, potentially changing how the disease is identified.

Article Abstract

Alzheimer's disease (AD) is a public health concern, for which an early diagnosis is essential. Biomass-derived carbon fibres with surface-decorated silver nanoparticles (Ag@CFs) have been utilized as surface enhanced raman spectroscopy (SERS) sensor platform for the detection of the amyloid beta Aβ (25-35) for the pre-diagnosis of Alzheimer's disease. Structural and morphological characterizations confirmed the distribution of plasmonic silver nanoparticles over the surface of carbon fibres. The SERS sensor performance of Ag@CFs was evaluated using rhodamine 6G, which showed an enhancement of the order of 10 which proved the effectiveness of the developed SERS sensor towards trace level detection of analyte. A range of amyloid beta concentrations, from 100uM to 10pM, have been analyzed as a proof-of concept for this study, showcasing the efficacy of the Ag@CFs based SERS sensor to detect trace level concentrations of amyloid beta, even as low as 10 pM. This investigation is a promising development in the field of AD diagnostics since it may turn out to be a non-invasive, economical and early diagnostic tool.

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Source
http://dx.doi.org/10.1002/jbio.202400314DOI Listing

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