Opportunities and challenges for analytical chemists: organ-on-chip devices as new approach methods (NAMs) for identifying potential toxins

Abstract

New approach methodologies (NAMs) integrate and leverage in vitro and in silico methods to predict human responses to new chemical entities (NCEs). Organ-on-chip (OoC) devices represent advanced in vitro models that best model organ-level function. The current rate of device innovation far outpaces the integration of these devices into existing workflows, which rely on monolayer cultures and animal models that have both proven poor predictors of NCE toxicity in humans. This perspective highlights the criteria we believe are needed for OoC devices to meet the biological and technical requirements for increased predictive power and reproducibility in current tissue culture laboratories: anatomically relevant structures that incorporate extracellular matrices and cellular compartmentalization, continuous perfusion for prolonged studies, and designs capable of collecting scalable amounts of sample material for quantitative analyses. Specifically, we focus on advances in readily accessible fabrication and analysis methods that are making OoC models a tractable solution for tissue culture laboratories as they move from monolayer cultures to more sophisticated models. We argue that OoC device adoption is limited not by biological relevance but by a lack of standardized regulatory benchmarks and insufficient compatibility with existing experimental workflows.

Graphical abstract: Opportunities and challenges for analytical chemists: organ-on-chip devices as new approach methods (NAMs) for identifying potential toxins

Article information

Article type
Perspective
Submitted
22 Dec 2025
Accepted
29 May 2026
First published
15 Jun 2026
This article is Open Access
Creative Commons BY-NC license

Analyst, 2026, Advance Article

Opportunities and challenges for analytical chemists: organ-on-chip devices as new approach methods (NAMs) for identifying potential toxins

E. Huang, J. A. Nolasco, S. J. Jones and M. R. Lockett, Analyst, 2026, Advance Article , DOI: 10.1039/D5AN01351H

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements