The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Metallophthalocyanine‐Based Conjugated Microporous Polymers as Highly Efficient Photosensitizers for Singlet Oxygen Generation
Abstract
Singlet oxygen (1 O 2) is of great interest because of its potential applications in photodynamic therapy, photooxidation of toxic molecules, and photochemical synthesis. Herein, we report novel metallophthalocyanine (MPc) based conjugated microporous polymers (MPc‐CMPs) as photosensitizers for the generation of 1 O 2. The rigid microporous structure efficiently improves the exposure of the majority of the MPc units to oxygen. The MPc‐CMPs also exhibit an enhanced light‐harvesting capability in the far‐red region through their extended π‐conjugation systems. Their microporous structure and excellent absorption capability for long‐wavelength photons result in the MPc‐CMPs showing high efficiency for 1 O 2 generation upon irradiation with 700 nm light, as evident by using 1,3‐diphenylisobenzofuran as an 1 O 2 trap. These results indicate that MPc‐CMPs can be considered as promising photosensitizers for the generation of 1 O 2.
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Domino electroreduction of CO2 to methanol on a molecular catalyst
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Using Singlet Oxygen to Synthesize Natural Products and Drugs
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Conjugated porous polymers: incredibly versatile materials with far-reaching applications
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Metadata
- Authors
- Ding, X., & Han, B.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2015-04-14
- Volume
- 54
- Issue
- 22
- Pages
- 6536-6539
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2027161238
- Cited by
- 269
- References
- 57
- FWCI
- 12.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ding, X., & Han, B. (2015). Metallophthalocyanine‐Based Conjugated Microporous Polymers as Highly Efficient Photosensitizers for Singlet Oxygen Generation. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201501732
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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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