Dataset Information

Extrusion-Based Bioprinting through Glucose-Mediated Enzymatic Hydrogelation.

ABSTRACT: We report an extrusion-based bioprinting approach, in which stabilization of extruded bioink is achieved through horseradish peroxidase (HRP)-catalyzed cross-linking consuming hydrogen peroxide (H2O2) supplied from HRP and glucose. The bioinks containing living cells, HRP, glucose, alginate possessing phenolic hydroxyl (Ph) groups, and cellulose nanofiber were extruded to fabricate 3D hydrogel constructs. Lattice- and human nose-shaped 3D constructs were successfully printed and showed good stability in cell culture medium for over a week. Mouse 10T1/2 fibroblasts enclosed in the printed constructs remained viable after 7 days of culture. It was also able to switch a non-cell-adhesive surface of the printed construct to cell-adhesive surface for culturing cells on it through a subsequent cross-linking of gelatin possessing Ph moieties. These results demonstrate the possibility of utilizing the presented cross-linking method for 3D bioprinting.

SUBMITTER: Gantumur E

PROVIDER: S-EPMC7294691 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Extrusion-Based Bioprinting through Glucose-Mediated Enzymatic Hydrogelation.

Gantumur Enkhtuul E Nakahata Masaki M Kojima Masaru M Sakai Shinji S

International journal of bioprinting 20200121 1

We report an extrusion-based bioprinting approach, in which stabilization of extruded bioink is achieved through horseradish peroxidase (HRP)-catalyzed cross-linking consuming hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) supplied from HRP and glucose. The bioinks containing living cells, HRP, glucose, alginate possessing phenolic hydroxyl (Ph) groups, and cellulose nanofiber were extruded to fabricate 3D hydrogel constructs. Lattice- and human nose-shaped 3D constructs were successfully printe ...[more]

PMID: 32596552

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Project description:Extrusion-based bioprinting (EBB) represents one of the most used deposition technologies in the field of bioprinting, thanks to key advantages such as the easy-to-use hardware and the wide variety of materials that can be successfully printed. In recent years, research efforts have been focused on implementing a quality control loop for EBB, which can reduce the trial-and-error process necessary to optimize the printing parameters for a specific ink, standardize the results of a print across multiple laboratories, and so accelerate the translation of extrusion bioprinted products to more impactful clinical applications. Due to its capacity to acquire relevant features from a training dataset and generalize to unseen data, machine learning (ML) is currently being studied in literature as a relevant enabling technology for quality control in EBB. In this context, we propose a robust, deep learning-based control loop to automatically optimize the printing parameters and monitor the printing process online. We collected a comprehensive dataset of EBB prints by recording the process with a high-resolution webcam. To model multiple printing scenarios, each video represents a combination of multiple parameters, including printing set-up (either mechanical or pneumatic extrusion), material color, layer height, and infill density. After pre-processing, the collected dataset was used to thoroughly train and evaluate an ad hoc defined convolutional neural network by controlling over-fitting and optimizing the prediction time of the network. Finally, the ML model was used in a control loop to: (i) monitor the printing process and detect if a print with an error could be stopped before completion to save material and time and (ii) automatically optimize the printing parameters by combining the ML model with a previously published mathematical model of the EBB process. Altogether, we demonstrated for the first time how ML techniques can be used to automatize the EBB process, paving the way for a total quality control loop of the printing process.

Dataset Information

Extrusion-Based Bioprinting through Glucose-Mediated Enzymatic Hydrogelation.

Publications

Extrusion-Based Bioprinting through Glucose-Mediated Enzymatic Hydrogelation.

Similar Datasets

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