Open Access
Open access
volume 11 issue 24 publication number 2308783

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

Lijiao Zu 1
Xicheng Wang 1
Peng Liu 2
Jiwei Xie 1
Xuejun Zhang 3
WEIRU LIU 1
Zhencheng Li 1
Shiqing Zhang 2
Kaiwei Li 1
Ambra Giannetti 4
Wei Bi 5
F Chiavaioli 4
Lei Shi 2
Tuan Guo Tuan Guo 1
Publication typeJournal Article
Publication date2024-03-20
scimago Q1
wos Q1
SJR3.775
CiteScore18.2
Impact factor14.1
ISSN21983844
Medicine (miscellaneous)
General Chemical Engineering
General Physics and Astronomy
General Materials Science
General Engineering
Biochemistry, Genetics and Molecular Biology (miscellaneous)
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 (Aβ42). 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 Aβ42 in cerebrospinal fluid (CSF) are successfully demonstrated with a detection of limit in the range of ≈30–170 pg mL−1, 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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GOST Copy
Zu L. et al. Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease via Plasmonic & Microfluidic Sensing Technologies // Advanced Science. 2024. Vol. 11. No. 24. 2308783
GOST all authors (up to 50) Copy
Zu L., Wang X., Liu P., Xie J., Zhang X., LIU W., Li Z., Zhang S., Li K., Giannetti A., Bi W., Chiavaioli F., Shi L., Tuan Guo T. G. Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease via Plasmonic & Microfluidic Sensing Technologies // Advanced Science. 2024. Vol. 11. No. 24. 2308783
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1002/advs.202308783
UR - https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202308783
TI - Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease via Plasmonic & Microfluidic Sensing Technologies
T2 - Advanced Science
AU - Zu, Lijiao
AU - Wang, Xicheng
AU - Liu, Peng
AU - Xie, Jiwei
AU - Zhang, Xuejun
AU - LIU, WEIRU
AU - Li, Zhencheng
AU - Zhang, Shiqing
AU - Li, Kaiwei
AU - Giannetti, Ambra
AU - Bi, Wei
AU - Chiavaioli, F
AU - Shi, Lei
AU - Tuan Guo, Tuan Guo
PY - 2024
DA - 2024/03/20
PB - Wiley
IS - 24
VL - 11
PMID - 38509587
SN - 2198-3844
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Zu,
author = {Lijiao Zu and Xicheng Wang and Peng Liu and Jiwei Xie and Xuejun Zhang and WEIRU LIU and Zhencheng Li and Shiqing Zhang and Kaiwei Li and Ambra Giannetti and Wei Bi and F Chiavaioli and Lei Shi and Tuan Guo Tuan Guo},
title = {Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease via Plasmonic & Microfluidic Sensing Technologies},
journal = {Advanced Science},
year = {2024},
volume = {11},
publisher = {Wiley},
month = {mar},
url = {https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202308783},
number = {24},
pages = {2308783},
doi = {10.1002/advs.202308783}
}