Author(s):
Carneiro, Pedro ; Loureiro, Joana ; Delerue-Matos, Cristina ; Morais, Simone ; Pereira, Maria do Carmo
Date: 2017
Persistent ID: http://hdl.handle.net/10400.22/13856
Origin: Repositório Científico do Instituto Politécnico do Porto
Project/scholarship:
info:eu-repo/grantAgreement/FCT/5876/UID%2FQUI%2F50006%2F2013/PT;
info:eu-repo/grantAgreement/FCT/5876/UID%2FEQU%2F00511%2F2013/PT;
info:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FQUI-BIQ%2F102827%2F2008/PT;
Subject(s): lzheimer’s disease; β-Amyloid peptide; Electrochemical biosensor; Self-assembled monolayer; Gold nanoparticles; Monoclonal antibody
Description
In this work, a highly sensitive label-free immunosensor for detection of the main biomarker of Alzheimer’s disease (AD), amyloid beta 1–42 (Aβ (1–42)), is presented. A gold electrode was modified with a mercaptopropionic acid (MPA) self-assembled monolayer, electrodeposited gold nanoparticles (AuNPs) and a monoclonal antibody mAb DE2B4 to recognize Aβ; all the relevant experimental variables were optimized. Antibodies were functionalized through chemical modification (thiolation) to promote the antibody immobilization on the AuNPs surface with proper orientation which enabled the direct detection of Aβ(1–42). Scanning electron microscopy, square-wave voltammetry and electrochemical impedance spectroscopy were used to characterize the construction of the biosensor. Using the proposed immunosensor, Aβ(1–42) was specifically detected within the linear range of 10–1000 pg mL−1 with a 5.2 pg mL−1 and 17.4 pg mL−1 detection and quantification limit, respectively; recovery values for the tested spiking levels ranged from 90.3 to 93.6%. The immunosensor enables rapid, accurate, precise, reproducible and highly sensitive detection (14.6%reduction mL pg−1) of Aβ with low-cost and opens the possibilities for diagnostic ex vivo applications and research-based in vivo studies.
This work was supported by European Union (FEDER funds through COMPETE) and National Funds (Fundação para a Ciência e Tecnologia) through projects UID/QUI/50006/2013- POCI/01/0145/FEDER/007265 and UID/EQU/00511/2013-LEPABE, by the FCT/MEC with national funds and co-funded by FEDER in the scope of the P2020 Partnership Agreement. Additional financial support was provided by Fundação para Ciência e Tecnologia through project PTDC/QUI-BIQ/102827/2008.
