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An open-source bioink database for microextrusion 3D printing

3D打印 计算机科学 数据库 纳米技术 组织工程 材料科学 生物医学工程 工程类 复合材料
作者
Bhushan Mahadik,Ryan Margolis,Shannon T. McLoughlin,Anthony J. Melchiorri,Sang Jin Lee,James J Yoo,Anthony Atala,Antonios G. Mikos,John Fisher
出处
期刊:Biofabrication [IOP Publishing]
卷期号:15 (1): 015008-015008 被引量:3
标识
DOI:10.1088/1758-5090/ac933a
摘要

Abstract 3D printing has rapidly become a critical enabling technology in tissue engineering and regenerative medicine for the fabrication of complex engineered tissues. 3D bioprinting, in particular, has advanced greatly to facilitate the incorporation of a broad spectrum of biomaterials along with cells and biomolecules of interest for in vitro tissue generation. The increasing complexity of novel bioink formulations and application-dependent printing conditions poses a significant challenge for replicating or innovating new bioprinting strategies. As the field continues to grow, it is imperative to establish a cohesive, open-source database that enables users to search through existing 3D printing formulations rapidly and efficiently. Through the efforts of the NIH/NIBIB Center for Engineering Complex Tissues, we have developed, to our knowledge, the first bioink database for extrusion-based 3D printing. The database is publicly available and allows users to search through and easily access information on biomaterials and cells specifically used in 3D printing. In order to enable a community-driven database growth, we have established an open-source portal for researchers to enter their publication information for addition into the database. Although the database has a broad range of capabilities, we demonstrate its utility by performing a comprehensive analysis of the printability domains of two well-established biomaterials in the printing world, namely poly(ϵ-caprolactone) and gelatin methacrylate. The database allowed us to rapidly identify combinations of extrusion pressure, temperature, and speed that have been used to print these biomaterials and more importantly, identify domains within which printing was not possible. The data also enabled correlation analysis between all the printing parameters, including needle size and type, that exhibited compatibility for cell-based 3D printing. Overall, this database is an extremely useful tool for the 3D printing and bioprinting community to advance their research and is an important step towards standardization in the field.
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