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Microfluidic sampling system for tissue analytics.

A Hokkanen1, I Stuns1, P Schmid2

  • 1VTT Technical Research Centre of Finland , Tietotie 3, 02044 VTT, Espoo, Finland.

Biomicrofluidics
|October 1, 2015
PubMed
Summary
This summary is machine-generated.

A novel microfluidics sampling system extracts lipid biomarkers from tissue biopsies. This technology shows promise for analyzing cancer tissues and preoperative biopsies.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Oncology

Background:

  • Accurate tissue analysis is crucial for cancer diagnosis and treatment.
  • Current methods for tissue biopsy analysis can be invasive and time-consuming.
  • There is a need for advanced sampling systems for precise tissue analytics.

Purpose of the Study:

  • To develop and validate a microfluidics-based sampling system for efficient tissue analytics.
  • To demonstrate the system's capability in extracting lipid samples from real tissue biopsies.
  • To assess the potential of the system for characterizing cancerous tissues.

Main Methods:

  • Development of a microfluidic chip with a sample reservoir and pumping membranes.
  • Integration of a disposable silicon-based multiport microneedle.
  • Utilized an automated robotic system for precise needle positioning and sampling.
  • Extraction of lipids (phosphatidylcholine, phosphoethanolamine) using methyl tert-butyl ether.
  • Detection of extracted lipids via mass spectrometry.

Main Results:

  • Successfully extracted lipid samples from real breast cancer tissue.
  • Detected indicative cancer biomarkers (phosphatidylcholine, phosphoethanolamine) from the tissue surface.
  • Demonstrated the feasibility of the microfluidic sampling system for tissue analytics.
  • Validated the use of an automated robotic system for controlled tissue sampling.

Conclusions:

  • The developed microfluidics sampling system is effective for lipid extraction from tissue biopsies.
  • This technology enables the detection of cancer biomarkers directly from tissue surfaces.
  • The system holds potential for improved characterization of preoperative biopsies and surgical tumor tissues.