The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Application of Whole Cell-Based Biosensors for Use in Environmental Analysis and in Medical Diagnostics
Open accessAbstract
Various whole cell-based biosensors have been reported in the literature for the last 20 years and these reports have shown great potential for their use in the areas of pollution detection in environmental and in biomedical diagnostics. Unlike other reviews of this growing field, this mini-review argues that: (1) the selection of reporter genes and their regulatory proteins are directly linked to the performance of celllular biosensors; (2) broad enhancements in microelectronics and information technologies have also led to improvements in the performance of these sensors; (3) their future potential is most apparent in their use in the areas of medical diagnostics and in environmental monitoring; and (4) currently the most promising work is focused on the better integration of cellular sensors with nano and micro scaled integrated chips. With better integration it may become practical to see these cells used as (5) real-time portable devices for diagnostics at the bedside and for remote environmental toxin detection and this in situ application will make the technology commonplace and thus as unremarkable as other ubiquitous technologies.
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Cites
Besaratinia, A., Kim, S.-I., Bates, S. E., & Pfeifer, G. P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610534104 · Cited by 107
Metadata
- Authors
- Gui, Q., Lawson, T., Shan, S., Yan, L., & Liu, Y.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-07-13
- Volume
- 17
- Issue
- 7
- Pages
- 1623
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2735449683
- Cited by
- 347
- References
- 1
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gui, Q., Lawson, T., Shan, S., Yan, L., & Liu, Y. (2017). The Application of Whole Cell-Based Biosensors for Use in Environmental Analysis and in Medical Diagnostics. Sensors. https://doi.org/10.3390/s17071623
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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.