AI Article Synopsis
- Developed a 3D sensor using silicon micropillar electrodes to detect amyloid beta (Aβ) in unpurified blood plasma for Alzheimer's disease diagnosis.
- The sensor utilizes synthesized artificial peptide and impedance analysis to enhance sensitivity and selectivity, validated through tests on human blood serum samples.
- It aims to provide a reliable method for diagnosing Alzheimer's by monitoring blood plasma and has the potential for use as a self-health care tool for patients.
Article Abstract
Detecting amyloid beta (Aβ) in unpurified blood to diagnose Alzheimer's disease (AD) is challenging owing to low concentrations of Aβ and the presence of many other substances in the blood. Here, we propose a 3D sensor for AD diagnosis using blood plasma, with pairs of 3D silicon micropillar electrodes with a comprehensive circuit configuration. The sensor is developed with synthesized artificial peptide and impedance analysis based on a maximum signal-to-noise ratio. Its sensitivity and selectivity were verified using an test based on samples of human blood serum, which showed its feasibility for application in diagnosis of AD by testing blood plasma of the AD patient. The 3D sensor is designed to improve reliability by checking the impedance of each pair multiple times via constructing a reference pair and a working pair on the same sensor. Therefore, we demonstrate the ability of the 3D sensor to recognize cases of AD using blood plasma and introduce its potential as a self-health care sensor for AD patients.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594136 | PMC |
| http://dx.doi.org/10.1021/acsomega.0c03578 | DOI Listing |
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