The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Micro- and nanomechanical sensors for environmental, chemical, and biological detection
Abstract
Micro- and nanoelectromechanical systems, including cantilevers and other small scale structures, have been studied for sensor applications. Accurate sensing of gaseous or aqueous environments, chemical vapors, and biomolecules have been demonstrated using a variety of these devices that undergo static deflections or shifts in resonant frequency upon analyte binding. In particular, biological detection of viruses, antigens, DNA, and other proteins is of great interest. While the majority of currently used detection schemes are reliant on biomarkers, such as fluorescent labels, time, effort, and chemical activity could be saved by developing an ultrasensitive method of label-free mass detection. Micro- and nanoscale sensors have been effectively applied as label-free detectors. In the following, we review the technologies and recent developments in the field of micro- and nanoelectromechanical sensors with particular emphasis on their application as biological sensors and recent work towards integrating these sensors in microfluidic systems.
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Cites
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Electromechanical Resonators from Graphene Sheets
Bunch, J. S., van der Zande, A. M., Verbridge, S. S., Frank, I. W., Tanenbaum, D. M., Parpia, J. M., Craighead, H. G., & McEuen, P. L. (2007) · Science · doi:10.1126/science.1136836 · Cited by 2,886
Self-citationTranslating Biomolecular Recognition into Nanomechanics
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Cited by
Review of Gravimetric Sensing of Volatile Organic Compounds
McGinn, C. K., Lamport, Z. A., & Kymissis, I. (2020) · ACS Sensors · doi:10.1021/acssensors.0c00333 · Cited by 152
Chen, Y., Xu, P., Li, X., Ren, Y., & Deng, Y. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2018.03.180 · Cited by 75
Metadata
- Authors
- Waggoner, P. S., & Craighead, H. G.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2007
- Volume
- 7
- Issue
- 10
- Pages
- 1238
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2138308932
- Cited by
- 678
- References
- 58
- FWCI
- 43.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
