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Massachusetts Institute of Technology

Cell-free freeze-dried synthetic biology for wearable biotechnology applications

Abstract

dc:description.abstract

Synthetic biology aims to develop modular genetic networks for computation, sensing, and control of biological systems, holding great promise for next-generation biosensing platforms. Similarly, advances in material sciences have allowed for the design of substrates and textiles engineered to exhibit novel mechanical, electrical, and optical properties for sensing and actuation. Wearable biosensors using synthetic biology principles and smart materials could expand on this potential, especially as solutions for continuous, fine-grained monitoring of physiological status, disease states, and pathogen/toxin exposure difficult to assess with other methods. Despite this, only few examples of synthetic biology sensors compatible with wearable use-cases have been described, all of which rely on the use of live engineered bacteria with sustainment limitations.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Soenksen Martinez, Luis Rubén.
Advisor dc:contributor.advisor
  • James J. Collins.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/127730
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/127730

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Soenksen Martinez, Luis Rubén.. Cell-free freeze-dried synthetic biology for wearable biotechnology applications. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127730