Lindner Nils, Mejia-Wille Andres, Fritschen Anna, Blaeser Andreas
BioMedical Printing Technology, Department of Mechanical Engineering, Technical University of Darmstadt, Germany.
Centre for Synthetic Biology, Technical University of Darmstadt, Germany.
HardwareX. 2024 Aug 22;19:e00572. doi: 10.1016/j.ohx.2024.e00572. eCollection 2024 Sep.
Organs-on-a-chip (OoCs) have proven to mimic the basic physiological behavior of organs and the influence of therapeutics on them in greater detail than conventional models, resulting in enormous projected market growth rates. However, the breakthrough to profitable commercialization of that technology has not yet been achieved, partly because the production process chain is characterized by a high proportion of manual laboratory work. The present work addresses this point. Utilizing affordable components, a demonstrator was developed that can be integrated into an existing 3D-bioprinting system and enables the automated production of perfusion-ready OoC devices starting from pre-fabricated injection-molded microfluidic chips. To this end, a corresponding process chain was first defined, and an expandable, configurable algorithm was developed and validated in the form of a finite state machine (FSM). This algorithm controls a modified 4-axis robot arm that covers the steps upstream and downstream of the printing process in the manufacturing process and achieves success rates of up to 100 %. A virtual interface between the robot and printer enables mutual communication and full integration of the algorithm into the process chain. Steps that pose a challenge for the automation of the process chain and appropriate countermeasures and optimizations were identified. This lays the foundation for scaling and standardizing the automated production of OoCs.
芯片器官(OoCs)已被证明能够比传统模型更详细地模拟器官的基本生理行为以及疗法对它们的影响,这使得预计市场增长率极高。然而,该技术尚未实现盈利性商业化突破,部分原因是生产过程链的特点是人工实验室工作占比很高。本研究解决了这一问题。利用价格合理的组件,开发了一个演示器,它可以集成到现有的3D生物打印系统中,并能够从预制的注塑微流控芯片开始自动生产可灌注的芯片器官装置。为此,首先定义了相应的工艺流程链,并以有限状态机(FSM)的形式开发并验证了一种可扩展、可配置的算法。该算法控制一个经过改装的4轴机器人手臂,该机器人手臂涵盖制造过程中打印过程的上游和下游步骤,并实现高达100%的成功率。机器人与打印机之间的虚拟接口实现了相互通信,并将算法完全集成到工艺流程链中。确定了对工艺流程链自动化构成挑战的步骤以及相应的对策和优化措施。这为芯片器官的自动化生产扩大规模和标准化奠定了基础。