Effects of PDMS curing ratio and 3D micro-pyramid structure on the formation of an in vitro neural network

Ahmi Choi, Jae Young Kim, Jong Eun Lee, Hyo Il Jung

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

An in vitro neural network can provide a model to investigate the signaling processes that regulate the body functions. Using polydimethylsiloxane (PDMS) multilayer micro-structures to construct a neural network, the bonding between the layers can be improved by modulation of the curing ratio. In this study, we found that as the curing ratio increased from 10:1 to 10:4, the contact angle decreased from 111.69° to 102.08° and the surface energy and roughness increased. For adhesion and proliferation, the hippocampal primary neural cells preferred a PDMS surface with a 10:1 curing ratio to other surfaces. In addition, 3D PDMS micro-pyramid array allows the primary hippocampal neuron to pattern a network without any surface treatment and the network was verified by immunocytochemistry. These results may suggest the optimum PDMS curing ratio to apply in constructing a cell device for in vitro neural network formation as well as the potential of 3D structure fabrication which allows us to construct neural network without any surface treatment.

Original languageEnglish
Pages (from-to)e294-e297
JournalCurrent Applied Physics
Volume9
Issue number4 SUPPL.
DOIs
Publication statusPublished - 2009 Jul

Bibliographical note

Funding Information:
This work was supported by the National Core Research Center (NCRC) for Nanomedical Technology of the Korea Science and Engineering Foundation (Grant No. R15-2004-024-01001-0), Seoul Research and Business Development (Seoul R&BD Program, 10816) and “System IC 2010” project of the Korea ministry of Commerce, Industry and Energy.

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Effects of PDMS curing ratio and 3D micro-pyramid structure on the formation of an in vitro neural network'. Together they form a unique fingerprint.

Cite this