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Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease Via Plasmonic & Microfluidic Sensing Technologies

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Journal Adv Sci (Weinh)
Date 2024 Mar 21
PMID 38509587
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Abstract

As the population ages, the worldwide prevalence of Alzheimer's disease (AD) as the most common dementia in the elderly is increasing dramatically. However, a long-term challenge is to achieve rapid and accurate early diagnosis of AD by detecting hallmarks such as amyloid beta (Aβ). Here, a multi-channel microfluidic-based plasmonic fiber-optic biosensing platform is established for simultaneous detection and differentiation of multiple AD biomarkers. The platform is based on a gold-coated, highly-tilted fiber Bragg grating (TFBG) and a custom-developed microfluidics. TFBG excites a high-density, narrow-cladding-mode spectral comb that overlaps with the broad absorption of surface plasmons for high-precision interrogation, enabling ultrasensitive monitoring of analytes. In situ detection and in-parallel discrimination of different forms of Aβ in cerebrospinal fluid (CSF) are successfully demonstrated with a detection of limit in the range of ≈30-170 pg mL, which is one order of magnitude below the clinical cut-off level in AD onset, providing high detection sensitivity for early diagnosis of AD. The integration of the TFBG sensor with multi-channel microfluidics enables simultaneous detection of multiple biomarkers using sub-µL sample volumes, as well as combining initial binding rate and real-time response time to differentiate between multiple biomarkers in terms of binding kinetics. With the advantages of multi-parameter, low consumption, and highly sensitive detection, the sensor represents an urgently needed potentials for large-scale diagnosis of diseases at early stage.

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References
1.
Constantinides V, Paraskevas G, Boufidou F, Bourbouli M, Pyrgelis E, Stefanis L . CSF Aβ42 and Aβ42/Aβ40 Ratio in Alzheimer's Disease and Frontotemporal Dementias. Diagnostics (Basel). 2023; 13(4). PMC: 9955886. DOI: 10.3390/diagnostics13040783. View

2.
Zhang X, Liu S, Song X, Wang H, Wang J, Wang Y . Robust and Universal SERS Sensing Platform for Multiplexed Detection of Alzheimer's Disease Core Biomarkers Using PAapt-AuNPs Conjugates. ACS Sens. 2019; 4(8):2140-2149. DOI: 10.1021/acssensors.9b00974. View

3.
Chiavaioli F, Gouveia C, Jorge P, Baldini F . Towards a Uniform Metrological Assessment of Grating-Based Optical Fiber Sensors: From Refractometers to Biosensors. Biosensors (Basel). 2017; 7(2). PMC: 5487959. DOI: 10.3390/bios7020023. View

4.
Chiavaioli F, Zubiate P, Del Villar I, Zamarreno C, Giannetti A, Tombelli S . Femtomolar Detection by Nanocoated Fiber Label-Free Biosensors. ACS Sens. 2018; 3(5):936-943. DOI: 10.1021/acssensors.7b00918. View

5.
Tiwari S, Atluri V, Kaushik A, Yndart A, Nair M . Alzheimer's disease: pathogenesis, diagnostics, and therapeutics. Int J Nanomedicine. 2019; 14:5541-5554. PMC: 6650620. DOI: 10.2147/IJN.S200490. View