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Janghorban M, Aradanas I, Malaeb K, Abuelazm H, Nittala A, Hu J, Murari K, Pandey R. Redox-Concatenated Aptamer Integrated Skin Mimicking Electrochemical Patch for Noninvasive Detection of Cortisol. ACS Sens 2024; 9:799-809. [PMID: 38148619 DOI: 10.1021/acssensors.3c02110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
This research focuses on developing and validating a wearable electrochemical biosensor called the concatenated aptamer integrated skin patch, also known as the Captain Patch. The main objective is to detect cortisol levels in sweat, which can provide valuable insights into an individual's health. The biosensor utilizes a corrugated surface that mimics the skin, allowing for better attachment and an improved electrochemical performance. The study demonstrates the successful application of Captain Patch on the human body by using artificially spiked sweat samples. The results indicate good measurement accuracy and conformity when the patch is worn on the body. However, for long-term usage, the patch needs to be changed every 3-4 h or worn three times a day to enable monitoring of cortisol levels. Despite the need for frequent patch changes, the cost-effectiveness and ease of operation make these skin patches suitable for longitudinal cortisol monitoring and other sweat analytes. By customization of the biorecognition probe, the developed biowearable can be used to monitor a variety of vital biomarkers. Overall, Captain Patch, with its capability of detecting specific health markers such as cortisol, hints at the future potential of wearables to offer valuable data on various other biomarkers. Our approach presents the first step in integrating a cost-effective wearable electrochemical patch integrated with a redox-concatenated aptamer for noninvasive biomarker detection. This personalized approach to monitoring can lead to improved patient outcomes and increased patient engagement in managing their health.
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Affiliation(s)
- Mohammad Janghorban
- Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Irvyne Aradanas
- Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Karem Malaeb
- Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Habiba Abuelazm
- Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Aditya Nittala
- Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Jinguang Hu
- Department of Chemical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Kartikeya Murari
- Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
- Department of Electrical and Software Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Richa Pandey
- Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
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