A 3D printing method for droplet-based biomolecular materials

Elio J. Challita, Joseph S. Najem, Eric C. Freeman, Donald J. Leo

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

Abstract

The field of developing biomolecular droplet-based materials using a bottom-up approach remains underexplored. Producing tissue-like materials, from entirely synthetic components, presents an innovative method to reconstruct the functions of life within artificial materials. Aqueous droplets, encased with lipid monolayers, may be linked via bilayer interfaces to make up structures that resemble biological tissues. Here we present the design and development of an easy-to-build 3D printer for the fabrication of tissue-like biomolecular materials from cell-sized aqueous droplets. The droplets are generated using a snap off technique, capable of generating 30 droplets per minute. The printed network of droplets may also be functionalized with various types of membrane proteins to achieve desired engineering applications like sensing and actuation, or to mimic electrical communication in biological systems. Voltage sensitive channels are introduced into selected droplets to create a conductive path with the material in the presence of an external field.

Original languageEnglish (US)
Title of host publicationNanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017
EditorsVijay K. Varadan
PublisherSPIE
ISBN (Electronic)9781510608191
DOIs
StatePublished - Jan 1 2017
EventNanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017 - Portland, United States
Duration: Mar 26 2017Mar 29 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10167
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceNanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017
CountryUnited States
CityPortland
Period3/26/173/29/17

Fingerprint

Droplet
printing
Printing
printers
actuation
Tissue
lipids
communication
engineering
membranes
3D printers
proteins
fabrication
Artificial Life
electric potential
Membrane Protein
Biological Tissue
cells
Biological systems
Lipids

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Challita, E. J., Najem, J. S., Freeman, E. C., & Leo, D. J. (2017). A 3D printing method for droplet-based biomolecular materials. In V. K. Varadan (Ed.), Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017 [1016712] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10167). SPIE. https://doi.org/10.1117/12.2260081
Challita, Elio J. ; Najem, Joseph S. ; Freeman, Eric C. ; Leo, Donald J. / A 3D printing method for droplet-based biomolecular materials. Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017. editor / Vijay K. Varadan. SPIE, 2017. (Proceedings of SPIE - The International Society for Optical Engineering).
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Challita, EJ, Najem, JS, Freeman, EC & Leo, DJ 2017, A 3D printing method for droplet-based biomolecular materials. in VK Varadan (ed.), Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017., 1016712, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10167, SPIE, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017, Portland, United States, 3/26/17. https://doi.org/10.1117/12.2260081

A 3D printing method for droplet-based biomolecular materials. / Challita, Elio J.; Najem, Joseph S.; Freeman, Eric C.; Leo, Donald J.

Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017. ed. / Vijay K. Varadan. SPIE, 2017. 1016712 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10167).

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

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Challita EJ, Najem JS, Freeman EC, Leo DJ. A 3D printing method for droplet-based biomolecular materials. In Varadan VK, editor, Nanosensors, Biosensors, Info-Tech Sensors and 3D Systems 2017. SPIE. 2017. 1016712. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2260081