3D printed neural tissues with in situ optical dopamine sensors

Li, Jianfeng; Reimers, Armin; Dang, Ka My; Brunk, Michael G. K.; Drewes, Jonas; Hirsch, Ulrike; Willems, Christian; Schmelzer, Christian E.H.; Groth, Thomas; Nia, Ali Shaygan; Feng, Xinliang; Schütt, Fabian; Sacher, Wesley D.; Adelung, Rainer; Poon, Joyce K. S.

doi:10.1016/j.bios.2022.114942

Cited by 12 publications

(13 citation statements)

References 64 publications

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“…More complex template geometries can be produced by 3D printing. [ 38 ] The 3D rendering of segmented pores from microcomputed tomography (microCT) within a region of interest (ROI) of PNIPAM‐structured in Figure 1c reveals the interconnected network structure of microstructured PNIPAM hydrogels, displaying the microtube network with an interconnectivity of 70%. This is also shown in a light microscopy image in Figure S2 (Supporting Information).…”

Section: Resultsmentioning

confidence: 99%

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

et al. 2023

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Hydrogel‐based soft actuators can operate in sensitive environments, bridging the gap of rigid machines interacting with soft matter. However, while stimuli‐responsive hydrogels can undergo extreme reversible volume changes of up to ∼90%, water transport in hydrogel actuators is in general limited by their poroelastic behavior. For poly(N‐isopropylacrylamide) (PNIPAM) the actuation performance is even further compromised by the formation of a dense skin layer. Here we show, that incorporating a bioinspired microtube graphene network into a PNIPAM matrix with a total porosity of only 5.4 % dramatically enhances actuation dynamics by up to ∼400 % and actuation stress by ∼4000 % without sacrificing the mechanical stability, overcoming the water transport limitations. The graphene network provides both untethered light‐controlled and electrically‐powered actuation. We anticipate that the concept provides a versatile platform for enhancing the functionality of soft matter by combining responsive and two‐dimensional materials, paving the way towards designing soft intelligent matter.This article is protected by copyright. All rights reserved

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Section: Resultsmentioning

confidence: 99%

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

et al. 2023

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“…However, additional research is required to enhance the bioprinting process and enhance the quality and functionality of the bioprinted tissue constructs [74]. Li et al [75] developed a bioink suitable for 3D printing of human dopaminergic brain tissue with integrated optical dopamine (DA) sensors that employ tetrapodal-shaped-ZnO microparticles (t-ZnO). After printing, the neurons with t-ZnO demonstrated high viability, and within a week, the cells developed extensive neural networks.…”

Section: Drug Screeningmentioning

confidence: 99%

“…After printing, the neurons with t-ZnO demonstrated high viability, and within a week, the cells developed extensive neural networks. The t-ZnO sensor was capable of detecting DA in the 3D printed neural network with a limit of detection of 0.137 µM [75]. Researchers have developed a new model for glioblastoma (GBM) using a 3D printing technique that involves fibrin and an Aspect Biosystems RX1 bioprinter equipped with a microfluidic print head.…”

Section: Drug Screeningmentioning

confidence: 99%

Recent advances and future directions of 3D to 6D printing in brain cancer treatment and neural tissue engineering

et al. 2023

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The field of neural tissue engineering has undergone a revolution due to advancements in 3D printing technology. This technology now enables the creation of intricate neural tissue constructs with precise geometries, topologies, and mechanical properties. Currently, there are various 3D printing techniques available, such as stereolithography and digital light processing, and a wide range of materials can be utilized, including hydrogels, biopolymers, and synthetic materials. Furthermore, the development of 4D printing has gained traction, allowing for the fabrication of structures that can change shape over time using techniques such as shape-memory polymers. These innovations have the potential to facilitate neural regeneration, drug screening, disease modeling, and hold tremendous promise for personalized diagnostics, precise therapeutic strategies against brain cancers. This review paper provides a comprehensive overview of the current state-of-the-art techniques and materials for 3D printing in neural tissue engineering and brain cancer. It focuses on the exciting possibilities that lie ahead, including the emerging field of 4D printing. Additionally, the paper discusses the potential applications of 5D and 6D printing, which integrate time and biological functions into the printing process, in the fields of neuroscience.

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“…It is crucial to precisely determine the amount of the active component in DOP-based pharmaceuticals as well as the concentration of DOP in biological fluids. Optically based assays [6], liquid chromatography [7], electrophoresis [8], electrochemical sensors [9], optical-electrochemical sensors [10], and other strategies have all been developed over the past few decades for the measurement of DOP levels. Due to their low cost, lightweight equipment, rapid response, high specificity range, high sensitivity, excellent selectivity, and low limit of detection, electrochemical sensors are regarded as the more attractive and potentially useful sensor technology among them.…”

Section: Introductionmentioning

confidence: 99%

PANI: Ni(Leu)₂ based non-enzymatic electrochemical dopamine sensor

Yıldız,

Baytemir,

Taşaltın

et al. 2023

Phys. Scr.

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In this study, Ni(Leu)2, Zn(Leu)2, Co(Leu)2, Cu(Leu)2, Ni(Trip) , Zn(Trip)2 2, Co(Trip)2, and Cu(Trip)2 were synthesized and used to prepare PANI-based nanocomposites (NCs) via a simple sonochemical method. These NCs were then used to fabricate non-enzymatic electrochemical voltammetric sensors for detecting dopamine (DOP). The results indicate that the PANI: Ni(Leu)2 sensor had a high sensitivity of 28.47 μAμM−1 cm−2 and a limit of detection (LOD) of 9.24 μM, while the PANI: Cu(Trip)2 sensor had a sensitivity of 20.27 μAμM−1 cm−2 and an LOD of 2.21 μM. Due to the use of Ni(Leu)2and Cu(Trip)2 compositions, the DOP detection sensitivity was higher in PANI: Ni(Leu)2 and PANI: Cu(Trip)2 based sensors, which can be explained by an enhanced redox mechanism. The PANI:Ni(Leu)2-based sensor is a particularly promising candidate for application in biomedical test kits due to its rapid detection.

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3D printed neural tissues with in situ optical dopamine sensors

Cited by 12 publications

References 64 publications

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

Recent advances and future directions of 3D to 6D printing in brain cancer treatment and neural tissue engineering

PANI: Ni(Leu)₂ based non-enzymatic electrochemical dopamine sensor

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3D printed neural tissues with in situ optical dopamine sensors

Cited by 12 publications

References 64 publications

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

Overcoming Water Diffusion Limitations in Hydrogels via Microtubular Graphene Networks for Soft Actuators

Recent advances and future directions of 3D to 6D printing in brain cancer treatment and neural tissue engineering

PANI: Ni(Leu)2 based non-enzymatic electrochemical dopamine sensor

Contact Info

Product

Resources

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PANI: Ni(Leu)₂ based non-enzymatic electrochemical dopamine sensor