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Self-Immolative Polymers
Abstract
Smart polymers are special kinds of polymeric molecules that respond to external stimuli. We have developed a novel smart polymer designed to sequentially disassemble into its building blocks upon initiation by a triggering event at the polymer head. The polymer structure is based on a polyurethane backbone that disassembles through a domino-like, 1,6-elimination and decarboxylation reactions. We synthesized a self-immolative polymer that amplifies a single cleavage reaction into multiple release of fluorogenic molecules and confirmed the head-to-tail disassembly concept. These polymers can be used to prepare highly sensitive molecular sensors with large signal-to-noise ratios. The sensors should be useful for the detection of a wide range of biological and chemical activities through use of the appropriate trigger at the polymer head.
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Citations
Cited by
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Shen, F., Sun, B., Kreutz, J. E., Davydova, E. K., Du, W., Reddy, P. L., Joseph, L. J., & Ismagilov, R. F. (2011) · Journal of the American Chemical Society · doi:10.1021/ja2060116 · Cited by 231
Design principles for intrinsically circular polymers with tunable properties
Shi, C., Reilly, L. T., Phani Kumar, V. S., Coile, M. W., Nicholson, S. R., Broadbelt, L. J., Beckham, G. T., & Chen, E. Y.-X. (2021) · Chem · doi:10.1016/j.chempr.2021.10.004 · Cited by 219
Progress in degradation behavior of most common types of functionalized polymers: A review
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The chemistry and application of nonchemically amplified (non-CA) chain-scission resists
Whittaker, A. K. (2016) · Frontiers of Nanoscience · doi:10.1016/b978-0-08-100354-1.00006-5 · Cited by 3
Metadata
- Authors
- Sagi, A., Weinstain, R., Karton, N., & Shabat, D.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-04-01
- Volume
- 130
- Issue
- 16
- Pages
- 5434-5435
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W4239707335
- Cited by
- 366
- References
- 0
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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