ArticleACS applied materials & interfaces2026
Reducing Small Molecule Adsorption in a PDMS-Based Microphysiological System of the Female Reproductive Tract via Parylene-C Coating to Improve Mechanistic Studies.
Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Reversibly-sealable microfluidic platform for multi-molecule gradient delivery to large adherent cell cultures.Biomedical microdevices · 2026Article
- Investigational New Drug-enabling studies in a human vessel-chip: Are we there yet?Bioengineering & translational medicine · 2026Review
- Female Reproductive Tract Organ-on-Chips: Modeling Barrier Function and Drug Transport.Pharmaceutics · 2026Review
- A Monolithic 3D-Printed Platform for Functional Maturation and In Situ Contractility Assessment of 3D Skeletal Muscle.Biomaterials research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Microphysiological systems (MPS) have been extensively developed in the past decade and are now used in mechanistic studies, as well as in drug and chemical toxicity testing. The utility of MPS for studies of a broad range of molecules is becoming ever more important. Many MPS models utilize polydimethylsiloxane (PDMS) as the material of choice. Despite its advantages, including biocompatibility, optical transparency, and gas permeability, PDMS exhibits significant molecular adsorption due to its hydrophobic surface properties, which is a well-known phenomenon. Although some MPS can be made from low-adsorbance materials, not all models can easily transition away from PDMS. Here, we investigated the potential of Parylene-C, a widely used coating for medical devices, for surface modification of a PDMS-based feto-maternal interface (FMi) MPS device. The impact of this coating on molecular adsorption was tested with five different chemicals (four drugs and one environmental pollutant) using a two-chambered microchannel-interconnected MPS device. We showed that the Parylene-C coating did not obstruct the microchannels, allowed chemical diffusion between chambers, did not compromise cell viability, and minimized molecular adsorption. The beneficial effect of Parylene-C coating was most prominent for highly adsorbed drugs (lipophilic)─celicoxib and tamoxifen─while the low-adsorbed compounds (amphiphilic or hydrophilic) like aspirin, sofosbuvir, and perfluorooctanoic acid were unaffected. Importantly, by limiting molecular adsorption, we were able to demonstrate chemical effects in the FMi MPS device even when using highly PDMS-adsorbed compounds. Collectively, our results demonstrate an easily adoptable strategy to increase the toxicological utility of PDMS-made MPS devices by modifying surface properties and adsorption behavior through the use of a Parylene-C coating.
Indexed as
Identifiers
What 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.