Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors

多传感器集成芯片器官平台,用于自动和连续现场监测类器官行为

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作者:Yu Shrike Zhang, Julio Aleman, Su Ryon Shin, Tugba Kilic, Duckjin Kim, Seyed Ali Mousavi Shaegh, Solange Massa, Reza Riahi, Sukyoung Chae, Ning Hu, Huseyin Avci, Weijia Zhang, Antonia Silvestri, Amir Sanati Nezhad, Ahmad Manbohi, Fabio De Ferrari, Alessandro Polini, Giovanni Calzone, Noor Shaikh, Pa

Abstract

Organ-on-a-chip systems are miniaturized microfluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vitro models, featuring biomimetic compositions, architectures, and functions, are expected to replace the conventional planar, static cell cultures and bridge the gap between the currently used preclinical animal models and the human body. Multiple organoid models may be further connected together through the microfluidics in a similar manner in which they are arranged in vivo, providing the capability to analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip models have been created, there are limited efforts on the integration of multisensor systems. However, in situ continual measuring is critical in precise assessment of the microenvironment parameters and the dynamic responses of the organs to pharmaceutical compounds over extended periods of time. In addition, automated and noninvasive capability is strongly desired for long-term monitoring. Here, we report a fully integrated modular physical, biochemical, and optical sensing platform through a fluidics-routing breadboard, which operates organ-on-a-chip units in a continual, dynamic, and automated manner. We believe that this platform technology has paved a potential avenue to promote the performance of current organ-on-a-chip models in drug screening by integrating a multitude of real-time sensors to achieve automated in situ monitoring of biophysical and biochemical parameters.

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