Multi-Sensors Integration in a Human Gut-On-Chip Platform
Lucia Giampetruzzi,
Amilcare Barca,
Flavio Casino,
Simonetta Capone,
Tiziano Verri,
Pietro Siciliano,
Luca Francioso
Affiliations
Lucia Giampetruzzi
Institute for Microelectronics and Microsystems IMM-CNR, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Amilcare Barca
Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Flavio Casino
Institute for Microelectronics and Microsystems IMM-CNR, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Simonetta Capone
Institute for Microelectronics and Microsystems IMM-CNR, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Tiziano Verri
Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Pietro Siciliano
Institute for Microelectronics and Microsystems IMM-CNR, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
Luca Francioso
Institute for Microelectronics and Microsystems IMM-CNR, Via per Monteroni “Campus Ecotekne”, 73100 Lecce, Italy
In the conventional culture systems in vitro, the challenging organoid approach have recently been overcome by the development of microfluidic Organ Chip models of human intestine. The potential future applications of Intestine-on-Chips in disease modelling, drug development and personalized medicine are leading research to identify and investigate limitations of modern chip-based systems and to focus the attention on the gut epithelium and its specific barrier function playing a significant role in many human disorders and diseases. In this paper, we propose and discuss the importance to implement a multi-parameter analysis on an engineered platform for developing an Epithelial Gut On Chip model.
