Fabrication of long-lasting multilayers of diacetylene@silica nanoparticles patterned on solids for sensory figures

Tae Kyung Won, Jinkyu Roh, Dong June Ahn

Research output: Contribution to journalArticlepeer-review


Diacetylene (DA) vesicles were immobilized on a substrate using silica nanoparticles shell by the layer-by-layer method to develop a sensory figure multilayer. Silica nanoparticles were densely formed on the surface of the DA vesicle by surface modification and electrostatic interactions; these nanoparticles function as shell on the surface of the vesicles, enhancing the surface activity and structural stability of the vesicles. The DA-silica core–shell nanoparticles can be easily immobilized on rigid, flexible, and porous substrates. In addition, alphabet patterning was achieved by photopolymerization of the substrate on a photomask for the development of visible and fluorescent sensors. Using this polydiacetylene (PDA)-based patterning sensory figure, chemical stimuli were recognized within 5 s, signaled by a blue-to-red color change and photoluminescence. In addition, it was confirmed that the manufactured PDA-based patterning sensory figure works normally even after 3 months, and long-lasting is possible. Based on this work, the patterning technology applicable to various substrates can be applied to the development of PDA-based sensing materials for industrial field sensors.

Original languageEnglish
Pages (from-to)77-83
Number of pages7
JournalJournal of Industrial and Engineering Chemistry
Publication statusPublished - 2022 Oct 25

Bibliographical note

Funding Information:
This work was financially supported by the National Research Foundation of Korea (NRF-2021R1A2C3009955) and the Korea University Grant.

Publisher Copyright:
© 2022 The Korean Society of Industrial and Engineering Chemistry


  • Diacetylene-silica core–shell nanoparticles
  • Enhanced sensory figure
  • Immobilization
  • Layer-by-Layer (LbL)
  • Photomask patterning

ASJC Scopus subject areas

  • Chemical Engineering(all)


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