Finite Element Analysis on Nanomechanical Sensing of Cellular Forces

• IMAMURA Gaku

  World Premier International Research Center Initiative (WPI), International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS) International Center for Young Scientists (ICYS), National Institute for Materials Science (NIMS)

• SHIBA Kota

  World Premier International Research Center Initiative (WPI), International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS)

• YOSHIKAWA Genki

  World Premier International Research Center Initiative (WPI), International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS) Materials Science and Engineering, Graduate School of Pure and Applied Science, University of Tsukuba

Abstract

Detection of cellular forces plays an important role in investigating the mechanical basis of cells. As nanomechanical sensors can directly detect surface stress, they can be utilized to detect cellular forces. In the present study, we perform quantitative simulations of nanomechanical sensors for the detection of cellular forces using finite element analyses (FEA). We focus on two types of nanomechanical sensors: a cantilever-type sensor and a membrane-type surface stress sensor (MSS). It is found that sensing signals can be obtained when cells on the nanomechanical sensors synchronize their motions. To effectively detect cellular forces on the nanomechanical sensors, we discuss the optimization scheme for a coating layer on the surface of the sensors.

Journal

• Analytical Sciences

  Analytical Sciences 32 (11), 1189-1194, 2016

  The Japan Society for Analytical Chemistry

Keywords

• Cell motility
• mechanobiology
• nanomechanical sensors
• cantilever-type sensors
• membrane-type surface stress sensors (MSS)
• finite element analysis (FEA)

Details

• CRID: 1390282679238297984
• NII Article ID: 130005278007
• NII Book ID: AA10500785
• DOI: 10.2116/analsci.32.1189
• ISSN: 13482246
• ISSN: 09106340
• NDL BIB ID: 027714004
• PubMed: 27829624
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027714004
• Web Site: https://link.springer.com/content/pdf/10.2116/analsci.32.1189.pdf
• Web Site: https://link.springer.com/article/10.2116/analsci.32.1189/fulltext.html
• Web Site: https://www.jstage.jst.go.jp/article/analsci/32/11/32_1189/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • PubMed
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed