3D printed neural tissues with in situ optical dopamine sensors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Jianfeng Li - , Max Planck Institute of Microstructure Physics, University of Toronto (Author)
  • Armin Reimers - , Kiel University (Author)
  • Ka My Dang - , Max Planck Institute of Microstructure Physics, University of Toronto (Author)
  • Michael G.K. Brunk - , Max Planck Institute of Microstructure Physics, University of Toronto (Author)
  • Jonas Drewes - , Kiel University (Author)
  • Ulrike M. Hirsch - , Fraunhofer Institute for Microstructure of Materials and Systems (Author)
  • Christian Willems - , Martin Luther University Halle-Wittenberg (Author)
  • Christian E.H. Schmelzer - , Fraunhofer Institute for Microstructure of Materials and Systems (Author)
  • Thomas Groth - , Martin Luther University Halle-Wittenberg (Author)
  • Ali Shaygan Nia - , Chair of Molecular Functional Materials (cfaed), Max Planck Institute of Microstructure Physics (Author)
  • Xinliang Feng - , Chair of Molecular Functional Materials (cfaed), Max Planck Institute of Microstructure Physics (Author)
  • Rainer Adelung - , Kiel University (Author)
  • Wesley D. Sacher - , Max Planck Institute of Microstructure Physics, University of Toronto (Author)
  • Fabian Schütt - , Kiel University (Author)
  • Joyce K.S. Poon - , Max Planck Institute of Microstructure Physics, University of Toronto (Author)

Abstract

Engineered neural tissues serve as models for studying neurological conditions and drug screening. Besides observing the cellular physiological properties, in situ monitoring of neurochemical concentrations with cellular spatial resolution in such neural tissues can provide additional valuable insights in models of disease and drug efficacy. In this work, we demonstrate the first three-dimensional (3D) tissue cultures with embedded optical dopamine (DA) sensors. We developed an alginate/Pluronic F127 based bio-ink for human dopaminergic brain tissue printing with tetrapodal-shaped-ZnO microparticles (t-ZnO) additive as the DA sensor. DA quenches the autofluorescence of t-ZnO in physiological environments, and the reduction of the fluorescence intensity serves as an indicator of the DA concentration. The neurons that were 3D printed with the t-ZnO showed good viability, and extensive 3D neural networks were formed within one week after printing. The t-ZnO could sense DA in the 3D printed neural network with a detection limit of 0.137 μM. The results are a first step toward integrating tissue engineering with intensiometric biosensing for advanced artificial tissue/organ monitoring.

Details

Original languageEnglish
Article number114942
Number of pages12
JournalBiosensors and Bioelectronics
Volume222
Publication statusPublished - 15 Feb 2023
Peer-reviewedYes

External IDs

PubMed 36493722
WOS 000974483500001

Keywords

Research priority areas of TU Dresden

Sustainable Development Goals

Keywords

  • 3D bioprinting, Bioink development, Biosensing, Dopamine, Neural tissue engineering, t-ZnO, Bioprinting, Tissue Engineering/methods, Humans, Biosensing Techniques, Tissue Scaffolds/chemistry, Zinc Oxide, Printing, Three-Dimensional