Toward continuous monitoring systems: emerging trends of on-chip sensors in organ-on-a-chip

The emergence of Organ-on-a-Chip (OoC) has significantly advanced biomedical research mainly on aspects of disease modeling and drug research. The need for real-time and continuous monitoring of the OoCs has been driving the development of integrated sensors on-chip. To meet these needs across different scales, from microscopic to macroscopic, primary sensing strategies for in situ sensor integration typically include electrical, optical, and mechanical approaches. This review focuses on the detection methodologies driven by these requirements and analyzes the core sensing elements involved. It further explores current innovative pathways for achieving in situ sensing integration and discusses the future prospects brought about by the development of models in OoC and sensing technologies.

Authors

Institutions

Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-02-13
DOI
https://doi.org/10.1038/s41378-025-01142-8
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward continuous monitoring systems: emerging trends of on-chip sensors in organ-on-a-chip

Songyue Chen, Zhengmao Ding, Daoheng Sun, Yuqing Jiang et al.
Microsystems & Nanoengineering
Neuroscience and Neural Engineering
article

Toward continuous monitoring systems: emerging trends of on-chip sensors in organ-on-a-chip

Songyue Chen, Zhengmao Ding, Daoheng Sun, Yuqing Jiang, Hong Hui Chen, Hang Jin, Chenrui Xu, Shuang Ling, Feng Xu
article en

Abstract

The emergence of Organ-on-a-Chip (OoC) has significantly advanced biomedical research mainly on aspects of disease modeling and drug research. The need for real-time and continuous monitoring of the OoCs has been driving the development of integrated sensors on-chip. To meet these needs across different scales, from microscopic to macroscopic, primary sensing strategies for in situ sensor integration typically include electrical, optical, and mechanical approaches. This review focuses on the detection methodologies driven by these requirements and analyzes the core sensing elements involved. It further explores current innovative pathways for achieving in situ sensing integration and discusses the future prospects brought about by the development of models in OoC and sensing technologies.

Microsystems & NanoengineeringVol. 12(1)
Xiamen University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Neuroscience and Neural Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.