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  3D printed neural tissues with in situ optical dopamine sensors

Li, J., Reimers, A., Dang, K. M., Brunk, M. G., Drewes, J., Hirsch, U. M., et al. (2023). 3D printed neural tissues with in situ optical dopamine sensors. Biosensors and Bioelectronics, 222: 114942, pp. 114942. doi:10.1016/j.bios.2022.114942.

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 Creators:
Li, Jianfeng1, 2, Author           
Reimers, Armin3, Author
Dang, Ka My1, 2, Author           
Brunk, Michael G.K.1, 2, Author                 
Drewes, Jonas3, Author
Hirsch, Ulrike M.3, Author
Willems, Christian3, Author
Schmelzer, Christian E.H.3, Author
Groth, Thomas3, Author
Shaygan Nia, Ali4, Author           
Feng, Xinliang4, Author                 
Adelung, Rainer3, Author
Sacher, Wesley D.1, 2, Author                 
Schütt, Fabian3, Author
Poon, Joyce K. S.1, 2, Author                 
Affiliations:
1Nanophotonics, Integration, and Neural Technology, Max Planck Institute of Microstructure Physics, Max Planck Society, ou_3287471              
2Max Planck - University of Toronto Centre for Neural Science and Technology, Max Planck Institute of Microstructure Physics, Max Planck Society, ou_3524333              
3External Organizations, ou_persistent22              
4Department of Synthetic Materials and Functional Devices (SMFD), Max Planck Institute of Microstructure Physics, Max Planck Society, ou_3316580              

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 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.

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 Dates: 2022-11-222023-02-15
 Publication Status: Issued
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 Identifiers: DOI: 10.1016/j.bios.2022.114942
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Title: Biosensors and Bioelectronics
  Other : Biosens. Bioelectron.
Source Genre: Journal
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Publ. Info: Amsterdam u. a. : Elsevier
Pages: - Volume / Issue: 222 Sequence Number: 114942 Start / End Page: 114942 Identifier: ISSN: 0956-5663
CoNE: https://pure.mpg.de/cone/journals/resource/954925577034