A surface acoustic wave biosensor for interrogation of single tumour cells in microcavities

Sukru U. Senveli, Zheng Ao, Siddarth Rawal, Ram Datar, Richard J Cote, Onur Tigli

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this study, biological cells are sensed and characterized with surface acoustic wave (SAW) devices utilising microcavities. After tumour cells in media are transported to and trapped in microcavities, the proposed platform uses SAW interaction between the substrate and the cells to extract their mechanical stiffness based on the ultrasound velocity. Finite element method (FEM) analysis and experimental results show that output phase information is an indicator of the stiffness modulus of the trapped cells. Small populations of various types of cells such as MCF7, MDA-MB-231, SKBR3, and JJ012 were characterized and characteristic moduli were estimated for each cell population. Results show that high frequency stiffness modulus is a possible biomarker for aggressiveness of the tumour and that microcavity coupled SAW devices are a good candidate for non-invasive interrogation of single cells.

Original languageEnglish (US)
Pages (from-to)163-171
Number of pages9
JournalLab on a Chip - Miniaturisation for Chemistry and Biology
Volume16
Issue number1
DOIs
StatePublished - 2016

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Microcavities
Biosensing Techniques
Biosensors
Surface waves
Acoustic surface wave devices
Tumors
Cells
Stiffness
Acoustic waves
Neoplasms
Biomarkers
Tumor Biomarkers
Ultrasonics
Finite element method
Equipment and Supplies
Finite Element Analysis
Substrates
Cell Extracts
Population

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)
  • Bioengineering
  • Biomedical Engineering

Cite this

A surface acoustic wave biosensor for interrogation of single tumour cells in microcavities. / Senveli, Sukru U.; Ao, Zheng; Rawal, Siddarth; Datar, Ram; Cote, Richard J; Tigli, Onur.

In: Lab on a Chip - Miniaturisation for Chemistry and Biology, Vol. 16, No. 1, 2016, p. 163-171.

Research output: Contribution to journalArticle

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