ReviewMikrochimica acta2026
Materials for liver-on-a-chip: modules, properties, and future directions.
Review in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The liver is the primary hub of our body for metabolism, detoxification, and drug biotransformation. While conventional two-dimensional cell culture and animal models can only partly recapitulate the complex hepatic microenvironment for the study of the liver, Liver-on-a-chip (LiOC) systems can simulate livers by integrating microfluidics, cell biology and engineered microenvironments. It is crucial to apply materials with specific properties in appropriate places because no single material can meet all the requirements for fabrication of LiOC systems. Moreover, improper material selection may lead to abnormal cell phenotypes and generate false experimental data. By advancing the philosophy of "right material in right place", in this review we systematically evaluated the structure of LiOC modules, including microfluidic, biological and sensing modules, followed by dissection of material-induced artifacts. We then discussed critical challenges including long-term material degradation, batch-to-batch variability, and the gap between laboratory prototypes and industrial production. We also summarize application-oriented material selection criteria and reporting needs for drug screening, hepatotoxicity testing, disease modeling, and personalized medicine. Finally, it outlined future perspectives on possible applications of smart biomimetic materials in LiOC systems, such as stimulus-responsive hydrogels, wood, and piezoelectric hydrogels, along with functionally integrated materials and AI-assisted material screening. This review may provide a framework for material selection and design toward standardized, high-fidelity LiOC platforms.
Indexed as
Identifiers
42859253What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.