Back

Photoinduced Shape Changes of Giant Vesicles Comprising Phospholipids and Azobenzene‐Containing Cationic Amphiphiles.

  • Published In: Chemistry - An Asian Journal, 2025, v. 20, n. 7. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Noguchi, Yutaro; Sasaki, Shoi; Liao, Yifei; Matsuo, Muneyuki; Asakura, Kouichi; Banno, Taisuke 3 of 3

Abstract

For the development of new functional materials for various applications, such as drug or gene delivery and environmental remediation, the relationship between function and morphology has been considered an important aspect for controlling affinity to the targets. However, there are only a few reports on this relationship because the molecular strategy for the precise control of vesicle shape has been restricted. Herein, we report the photocontrol of vesicle shape using azobenzene‐containing amphiphilic switches. The addition of the photoswitches to vesicles composed of phospholipids yielded non‐spherical vesicles. They exhibited reversible deformation between a non‐spherical and spherical shape in response to ultraviolet and visible light illumination, respectively. From the results of the 1H NMR analyses, fluorescence spectra of the environmentally responsive probes, and Π‐A isotherm measurements, the reversible photoresponsivity can be attributed to the changes in the vesicular membrane structures caused by migration of the photoswitches between the aqueous phase and membrane through their photoisomerization. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Chemistry - An Asian Journal. 2025/04, Vol. 20, Issue 7, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:1861-4728
  • DOI:10.1002/asia.202401426
  • Accession Number:184338719
  • Copyright Statement:Copyright of Chemistry - An Asian Journal 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.