Zhao, Jing and Chang, Wenlong and Liu, Lu and Xing, Xiaoming and Zhang, Chao and Meng, Huihong and Gopinath, Subash C. B. and Lakshmipriya, Thangavel and Chen, Yeng and Liu, Yonggang (2021) Graphene oxide-gold nanoparticle-aptamer complexed probe for detecting amyloid beta oligomer by ELISA-based immunoassay. Journal of Immunological Methods, 489. ISSN 0022-1759, DOI https://doi.org/10.1016/j.jim.2020.112942.
Full text not available from this repository.Abstract
Highly sensitive and easy detection method for Alzheimer's disease (AD) with a suitable biomarker is mandatory for preventing the factors resulting from AD. This research reports a modified ELISA with graphene for the detection of AD biomarker amyloid beta (A beta) oligomer. Gold nanoparticle (AuNP) conjugated aptamer was used as the capture probe and attached on ELISA-graphene oxide surface through the amine linker. Antibody was used as the detection molecule to reach the maximum detection of A beta oligomer. Suitable level of APTMS (2%), size of AuNP (30 nm) and aptamer concentration (2 mu M) were optimized. This sandwich pattern of aptamer-A beta oligomer-antibody helps to reach the detection at 50 pM on the optimized ELISA surface and the control experiments in the absence of A beta oligomer or anti-A beta oligomer antibody did not show the significant optical detection at 492 nm, indicting the specific detection. Further, A beta oligomer spiked artificial cerebrospinal fluid did not interfere the detection of A beta oligomer, confirming the selective detection. This new and modified ELISA surface helps to reach the lower detection of A beta oligomer and diagnose AD.
Item Type: | Article |
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Funders: | Universiti Malaysia Perlis [9001-00596] |
Uncontrolled Keywords: | Alzheimer's disease; Aptamer; Nanomaterial; Biomarker |
Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QR Microbiology > QR180 Immunology |
Divisions: | Faculty of Dentistry |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 09 Jun 2022 02:00 |
Last Modified: | 09 Jun 2022 02:00 |
URI: | http://eprints.um.edu.my/id/eprint/34409 |
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