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

Author:

Zu Lijiao1,Wang Xicheng1,Liu Peng2,Xie Jiwei1,Zhang Xuejun3,Liu Weiru1,Li Zhencheng1,Zhang Shiqing2,Li Kaiwei1,Giannetti Ambra4,Bi Wei5,Chiavaioli Francesco4ORCID,Shi Lei2ORCID,Guo Tuan1ORCID

Affiliation:

1. Institute of Photonics Technology Jinan University Guangzhou 510632 China

2. State Key Laboratory of Bioactive Molecules and Druggability Assessment JNU‐HKUST Joint Laboratory for Neuroscience and Innovative Drug Research, College of Pharmacy, Jinan University Guangzhou 510632 China

3. Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine Beth Israel Deaconess Medical Center, Harvard University Boston 02215 USA

4. National Research Council of Italy (CNR), Institute of Applied Physics “Nello Carrara” (IFAC) Sesto Fiorentino 50019 Italy

5. Department of Neurology The First Affiliated Hospital of Jinan University Guangzhou 510632 China

Abstract

AbstractAs 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.

Publisher

Wiley

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