Isolation of biofluids from tissues using a vacuum-assisted filtration biomedical device

Arthur Yang1,2,3, Yufeng Zhou1, John Hardy2

  • 1Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu 215123, China. yangs2020@suda.edu.cn.

Insights

This study introduces a novel biomedical device for separating interstitial fluid from tissue samples. The vacuum-assisted filtration method enables distinct molecular analysis of tissue and interstitial fluid.

Area of Science:

  • Biomedical Engineering
  • Biochemistry
  • Histology

Background:

  • Interstitial fluid (IF) is crucial for tissue health but often co-collected with tissue during biopsies.
  • Current methods lack the ability to isolate IF from tissue for separate molecular characterization.
  • Distinguishing between tissue-specific and IF-specific molecules is vital for accurate diagnostics.

Purpose of the Study:

  • To design and validate a biomedical device for efficient separation of interstitial fluid from tissue samples.
  • To enable separate molecular analysis of tissue and interstitial fluid.
  • To improve the accuracy of molecular diagnostics derived from tissue biopsies.

Main Methods:

  • Development of a novel biomedical device utilizing vacuum-assisted filtration.
  • Tissue samples were subjected to filtration, collecting extracted fluid in a dedicated chamber.
  • Characterization of tissue weight changes and glycan profiles before and after filtration.

Main Results:

  • The device successfully separated interstitial fluid from tissue samples.
  • Vacuum-assisted filtration demonstrated significant removal of interstitial fluid.
  • Analysis confirmed the device facilitates the study of tissue-specific molecules while minimizing IF contamination.

Conclusions:

  • The developed biomedical device effectively separates interstitial fluid from tissue.
  • This separation allows for enhanced molecular characterization of tissue-specific components.
  • The device holds potential for improving diagnostic accuracy in various biomedical applications.