The DOI matches its Crossref record; 320 of the 320 references it cites were found in a registry or an index.
Activity‐Based Sensing: A Synthetic Methods Approach for Selective Molecular Imaging and Beyond
Open accessAbstract
Emerging from the origins of supramolecular chemistry and the development of selective chemical receptors that rely on lock‐and‐key binding, activity‐based sensing (ABS)—which utilizes molecular reactivity rather than molecular recognition for analyte detection—has rapidly grown into a distinct field to investigate the production and regulation of chemical species that mediate biological signaling and stress pathways, particularly metal ions and small molecules. Chemical reactions exploit the diverse chemical reactivity of biological species to enable the development of selective and sensitive synthetic methods to decipher their contributions within complex living environments. The broad utility of this reaction‐driven approach facilitates application to imaging platforms ranging from fluorescence, luminescence, photoacoustic, magnetic resonance, and positron emission tomography modalities. ABS methods are also being expanded to other fields, such as drug and materials discovery.
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Self-citationActivity‐Based NIR Enzyme Fluorescent Probes for the Diagnosis of Tumors and Image‐Guided Surgery
Li, H., Kim, D., Yao, Q., Ge, H., Chung, J., Fan, J., Wang, J., Peng, X., & Yoon, J. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202009796 · Cited by 363
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Guo, C., Sedgwick, A. C., Hirao, T., & Sessler, J. L. (2021) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213560 · Cited by 284
Qin, Z., Ren, T., Zhou, H., Zhang, X., He, L., Li, Z., Zhang, X., & Yuan, L. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202201541 · Cited by 140
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Metadata
- Authors
- Bruemmer, K. J., Crossley, S. W. M., & Chang, C. J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2020-04-23
- Volume
- 59
- Issue
- 33
- Pages
- 13734-13762
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2980048937
- Cited by
- 265
- References
- 320
- FWCI
- 10.47
- Type
- journal article
- Language
- en
- Open access
- green
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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.
