The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Highly Selective Two-Photon Chemosensors for Fluoride Derived from Organic Boranes
Abstract
[reaction: see text] Three organoboron compounds are shown to be two-photon fluorescent sensors for fluoride anion with high sensitivity and selectivity. The recognition mechanism is attributed to the unique steric structure of the bulky dimesitylboryl group and the Lewis acid-base interaction between trivalent boron atom and fluoride anion.
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Cites
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Cited by
Two‐Photon Absorption and the Design of Two‐Photon Dyes
Pawlicki, M., Collins, H. A., Denning, R. G., & Anderson, H. L. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200805257 · Cited by 2,019
Applications of Supramolecular Anion Recognition
Busschaert, N., Caltagirone, C., Van Rossom, W., & Gale, P. A. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00099 · Cited by 1,249
Phosphorescent chemosensors based on heavy-metal complexes
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Recognition and sensing of fluoride anion
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Boronic acid building blocks: tools for sensing and separation
Nishiyabu, R., Kubo, Y., James, T. D., & Fossey, J. S. (2011) · Chemical Communications · doi:10.1039/c0cc02920c · Cited by 414
Boron based anion receptors as sensors
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Liu, X. Y., Bai, D. R., & Wang, S. (2006) · Angewandte Chemie · doi:10.1002/ange.200601286 · Cited by 309
Kim, Y., & Gabbaï, F. P. (2009) · Journal of the American Chemical Society · doi:10.1021/ja8091467 · Cited by 260
Metadata
- Authors
- Liu, Z.-Q., Shi, M., Li, F.-Y., Fang, Q., Chen, Z.-H., Yi, T., & Huang, C.-H.
- Venue
- Organic Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-11-01
- Volume
- 7
- Issue
- 24
- Pages
- 5481-5484
- ISSN
- 1523-7052 (ISSN-L)
- 1523-7060
- OpenAlex
- W2049870981
- Cited by
- 261
- References
- 23
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
