JOURNAL ARTICLE

Revisiting crosslinking density effects on pNIPAM microgel properties: Size, electrophoretic mobility, and transition temperatures.

  • Published In: Journal of Chemical Physics, 2025, v. 162, n. 18. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: KS, Syamjith; Rout, Shubhasmita; Jacob, Alan R. 3 of 3

Abstract

This article focuses on investigating how the crosslinking density affects the thermoresponsive properties of poly(N-isopropylacrylamide) (pNIPAM) microgels, specifically their size, electrophoretic mobility, stiffness, and transition temperatures. Using 20 batches of pNIPAM microgels synthesized via conventional one-pot and semi-batch methods, the study employs dynamic light scattering, electrophoretic light scattering, and atomic force microscopy to characterize these properties. Results show that increasing crosslinking density decreases the swelling ratio and hydrodynamic diameter in the swollen state but increases the diameter in the collapsed state, while electrophoretic mobility remains relatively constant due to fixed initiator amounts. Importantly, both the volume phase transition temperature (VPTT) and electrokinetic transition temperature (ETT) increase with crosslinking density, with ETT rising more significantly, and microgels with homogeneous crosslinking exhibit a smaller difference between these transition temperatures compared to core–corona structured microgels. These findings provide insights for tailoring pNIPAM microgels' structural and thermal properties for applications such as drug delivery and sensing.

Additional Information

  • Source:Journal of Chemical Physics. 2025/05, Vol. 162, Issue 18, p1
  • Document Type:Article
  • Subject Area:Biography
  • Publication Date:2025
  • ISSN:0021-9606
  • DOI:10.1063/5.0269885
  • Accession Number:185158670
  • Copyright Statement:Copyright of Journal of Chemical Physics is the property of American Institute of Physics 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.