Fabrication and characterization of polymeric sutures and brain stents

Emily Ai, Evan Cohen, Carolyn Jeon, Jordan Lawanson, Monique Legaspi, Sanjeeva Murthy, Thomas Emge

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

1 Scopus citations

Abstract

Biodegradable polymers are used in the production of a variety of biomedical devices, including sutures and stents. Sutures are medical devices used to facilitate healing by binding tissue together. Biomedical stents restore various pathways, such as clogged arteries. The sutures were fabricated through the process of extrusion at varying collection speeds. These stents were fabricated with poly-L-lactic acid (PLLA) and acrylonitrile butadiene styrene (ABS) through extrusion, followed by 3D printing. The polymers were then characterized by differential scanning calorimetry (DSC), tensile testing, and X-ray diffraction (XRD). In order to determine what qualities the optimal biodegradable medical device should have, as well as how it would behave once used in the body, the sutures and stent would be tested under a number of conditions, such as pH, temperature, and rate of degradation. Results of suture testing found that the thinner polymers are stronger than thicker polymers. In addition, the PLA brain stent was stronger than the ABS stent in both axial and transverse loading.

Original languageEnglish (US)
Title of host publication2017 IEEE MIT Undergraduate Research Technology Conference, URTC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781538625347
DOIs
StatePublished - Feb 7 2018
Externally publishedYes
Event2017 IEEE MIT Undergraduate Research Technology Conference, URTC 2017 - Cambridge, United States
Duration: Nov 3 2017Nov 5 2017

Publication series

Name2017 IEEE MIT Undergraduate Research Technology Conference, URTC 2017
Volume2018-January

Other

Other2017 IEEE MIT Undergraduate Research Technology Conference, URTC 2017
Country/TerritoryUnited States
CityCambridge
Period11/3/1711/5/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Health Informatics
  • Instrumentation

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