Projects per year
Abstract
Cell-based biosensors offer cheap, portable and simple methods of detecting molecules of interest but have yet to be truly adopted commercially. Issues with their performance and specificity initially slowed the development of cell-based biosensors. With the development of rational approaches to tune response curves, the performance of biosensors has rapidly improved and there are now many biosensors capable of sensing with the required performance. This has stimulated an increased interest in biosensors and their commercial potential. However the reliability, long term stability and biosecurity of these sensors are still barriers to commercial application and public acceptance. Research into overcoming these issues remains active. Here we present the state-of-the-art tools offered by synthetic biology to allow construction of cell-based biosensors with customisable performance to meet the real world requirements in terms of sensitivity and dynamic range and discuss the research progress to overcome the challenges in terms of the sensor stability and biosecurity fears.
Original language | English |
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Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | ChemPhysChem |
Volume | 20 |
Early online date | 4 Oct 2019 |
DOIs | |
Publication status | E-pub ahead of print - 4 Oct 2019 |
Keywords / Materials (for Non-textual outputs)
- cell based biosensor
- genetic circuits
- response curve
- rational approaches
- synthetic biology
Fingerprint
Dive into the research topics of 'Synthetic biology enables programmable cell-based biosensors'. Together they form a unique fingerprint.Projects
- 4 Finished
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engineering split inteins as scalable tools for synthetic biology
Wang, B.
1/05/19 → 30/04/23
Project: Research
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Low cost paper-based biosensors for point-of-care nucleic acid diagnostics of pathogens
Wang, B.
31/10/16 → 30/04/18
Project: Research
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Programmable single-cell biocomputers with scalable signal processing capacity
Wang, B.
8/08/16 → 31/12/19
Project: Research
Research output
- 1 Article
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Front Cover: Synthetic biology enables programmable cell‐based biosensors (ChemPhysChem 2/2020)
Hicks, M., Bachmann, T. T. & Wang, B., 16 Jan 2020, In: ChemPhysChem. 21, 2, p. 129-129Research output: Contribution to journal › Article › peer-review