3D Printing for Whole Blood Filters Designed for Simple Integration with a Variety of Sensor Platforms

Benjamin Ingis, Eon Soo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The ability to quickly and easily measure biomarker concentrations in a blood sample is an important element in bringing lab-on-a-chip devices to widespread point of care use. One challenge facing the development of these systems is sample preparation, specifically in the case of whole human blood. Because the red blood cells present in a whole blood sample can interfere with sensor operation, cell-free plasma is often desired as the analyte. However, at the point of care, the input into such a device is most often whole blood from a finger prick. Thus, a system is required which can easily extract the plasma from a whole blood sample and deliver it to the sensor. Because of the wide range of sensing mechanisms available, a versatile sample preparation and delivery system is desired. In this work, we introduce a PDMS microchannel system, produced partially through the use of 3D printing, which can be easily integrated with any flat form factor sensor platform, such as electrodes deposited on a silicon wafer. The system is passive, requiring no external actuation. The channel system is tested with both blood mimicking fluid (100% particle removal) and porcine whole blood (95% particle removal), and the ease of integration with a sensor platform is demonstrated. Such a device is a step toward the realization of widespread lab-on-a-chip deployment.

Original languageEnglish (US)
Title of host publication2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages143-146
Number of pages4
ISBN (Electronic)9781728138121
DOIs
StatePublished - Nov 2019
Event2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019 - Bethesda, United States
Duration: Nov 20 2019Nov 22 2019

Publication series

Name2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019

Conference

Conference2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019
Country/TerritoryUnited States
CityBethesda
Period11/20/1911/22/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Health Informatics
  • Instrumentation
  • Health(social science)

Keywords

  • 3D Printing
  • Biochip
  • Filtration
  • Microparticles
  • Red Blood Cells
  • Sensor

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