JOURNAL ARTICLE
Assembly Regulates Gamma Radiation Polymerization of Polytelluoxane.
Published In: Angewandte Chemie International Edition, 2025, v. 64, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Shenghan; Lu, Yijie; Song, Junjie; Guan, Jun; Dai, Yiheng; Cao, Wei; Xu, Huaping 3 of 3
Abstract
Regulating chemical drug's responsiveness to gamma radiation is crucial for achieving better therapeutic effects in cancer treatment. Most research focused on thermodynamic chemical structure design, while little attention was paid to kinetic regulate strategy, which possesses greater universality and security. In this study, we achieved a kinetic‐based regulate strategy of gamma radiation reaction, through the construction of microphase environment during polymerization of polytelluoxane (PTeO). We designed hydrophobic segments forming large compound micelles (LCMs) assembly to create kinetically favorable higher concentration for radiation‐induced reaction. It exhibited a > ten times higher responsiveness and, as far as we know, merely required a minimum dosage of 5 Gy for polymerization to occur. What's more, by taking advantages of the assembly change with Te−O hydrophilic segments and gamma radiation, polymerization became milder with lower polydispersity than previous methods. Such kinetic‐based regulate strategy could offer a novel perspective on the design of radiation‐responsive chemoradiotherapy and other radiation‐induced chemical process. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Angewandte Chemie International Edition. 2025/01, Vol. 64, Issue 3, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2025
- ISSN:1433-7851
- DOI:10.1002/anie.202415811
- Accession Number:183985922
- Copyright Statement:Copyright of Angewandte Chemie International Edition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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