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Journal article
Single-Atom Nanozymes Linked Immunosorbent Assay for Sensitive Detection of A β 1-40: A Biomarker of Alzheimer’s Disease
Research (Washington), Vol.2020(10), p.4724505
10/19/2020
PMID: 33145493
Abstract
Single-atom nanozymes (SANs) possess unique features of maximum atomic utilization and present highly assembled enzyme-like structure and remarkable enzyme-like activity. By introducing SANs into immunoassay, limitations of ELISA such as low stability of horseradish peroxidase (HRP) can be well addressed, thereby improving the performance of the immunoassays. In this work, we have developed novel Fe-N-C single-atom nanozymes (Fe-N
x
SANs) derived from Fe-doped polypyrrole (PPy) nanotube and substituted the enzymes in ELISA kit for enhancing the detection sensitivity of amyloid beta 1-40. Results indicate that the Fe-N
x
SANs contain high density of single-atom active sites and comparable enzyme-like properties as HRP, owing to the maximized utilization of Fe atoms and their abundant active sites, which could mimic natural metalloproteases structures. Further designed SAN-linked immunosorbent assay (SAN-LISA) demonstrates the ultralow limit of detection (LOD) of 0.88 pg/mL, much more sensitive than that of commercial ELISA (9.98 pg/mL). The results confirm that the Fe-N
x
SANs can serve as a satisfactory replacement of enzyme labels, which show great potential as an ultrasensitive colorimetric immunoassay.
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Details
- Title
- Single-Atom Nanozymes Linked Immunosorbent Assay for Sensitive Detection of A β 1-40: A Biomarker of Alzheimer’s Disease
- Creators
- Zhaoyuan Lyu - Washington State UniversityShichao Ding - Washington State UniversityNan Zhang - Institute of High Performance ComputingYang Zhou - School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USANan Cheng - Washington State UniversityMaoyu Wang - Oregon State UniversityMingjie Xu - University of California, IrvineZhenxing Feng - Oregon State UniversityXiangheng Niu - Washington State UniversityYuan Cheng - Institute of High Performance ComputingChao Zhang - National University of SingaporeDan Du - Washington State UniversityYuehe Lin - Washington State University
- Publication Details
- Research (Washington), Vol.2020(10), p.4724505
- Academic Unit
- School of Mechanical and Materials Engineering
- Identifiers
- 99901227850401842
- Language
- English
- Resource Type
- Journal article