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Updated: Apr 23, 2026

The Multi-organ Chip - A Microfluidic Platform for Long-term Multi-tissue Coculture
Published on: April 28, 2015
Microengineering the Liver: Strategies for Constructing Functional Liver-on-a-Chip Devices
Jie Wang1, Ziwei Liang1,2,3,4, Jiapu Wang1
1Department of Biomedical Engineering Research Center for Nano-Biomaterials & Regenerative Medicine College of Artificial Intelligence Shanxi Key Laboratory of Materials Strength & Structural Impact Taiyuan University of Technology Taiyuan China.
Abstract:
Reliable in vitro liver models are indispensable for researching liver diseases and developing medications. Present 2D/3D cell cultures and animal models inadequately replicate the intricacy of living systems and in vivo conditions, resulting in impaired cellular functions. They also fail to emulate tissue-like architectures, which undermines their precision. Meanwhile, animal models present species differences, making real-time observation of dynamic results inconvenient and raising serious ethical concerns. Therefore, there is an urgent need to develop alternative tissue models with biomimetic human pathophysiology to bridge the gap between clinical trials and traditional human and animal models. Liver-on-a-chip (LOC) technology, based on microfluidics, is an innovative in vitro modeling device that can replicate the microstructures and tissue-tissue interfaces of specific liver functional units, simulating organ and tissue-level physiological activities. This review summarizes recent strategies and breakthroughs in LOC technologies, from biomimetic tissues and extracellular matrix construction in liver microphysiological systems to diverse LOC development approaches. Furthermore, we highlight key advances in functional LOC platforms, including 3D bioprinting, vascularization strategies, and the incorporation of liver buds and organoids to enhance physiological relevance. The integration of deep learning and sensor technologies for intelligent, real-time monitoring is also discussed. Finally, we examine LOC applications in drug screening and disease modeling, assess challenges in clinical translation, and offer perspectives on future directions in biomedical research and personalized medicine.

