JOURNAL ARTICLE
Nanoscale strain gauges on flexible polymer substrates.
Published In: Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics, 2023, v. 41, n. 6. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Brown, Devin K.; Lodhi, Isha; Haile, Biya; Myers, David R.; Lam, Wilbur A.; Brand, Oliver 3 of 3
Abstract
This article focuses on the development and testing of nanoscale gold strain gauges embedded in soft polydimethylsiloxane (PDMS) polymers as a novel approach for measuring biological cell forces electrically and in real time. The study presents the design, fabrication via a sacrificial aluminum layer method, COMSOL simulations, and electrical and mechanical characterization of these strain gauges, which are capable of detecting compressive strains corresponding to forces in the nanonewton to micronewton range. While actual cell force measurements were not performed, the devices demonstrated expected electrical responses to controlled mechanical strains applied using radius of curvature fixtures, with straight nanowire designs showing higher sensitivity and fabrication yield than serpentine designs. This work suggests potential for scalable, high-throughput cell force sensing that could overcome limitations of current optical imaging methods, particularly for applications involving small cellular subpopulations such as blood platelets.
Additional Information
- Source:Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics. 2023/12, Vol. 41, Issue 6, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2023
- ISSN:21662746
- DOI:10.1116/6.0003030
- Accession Number:174421057
- Copyright Statement:Copyright of Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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