ArticleLab on a chip2019
Chemical-PDMS binding kinetics and implications for bioavailability in microfluidic devices.
Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 86 citations in OpenAlex.
- A perfusable first-generation endometrial microvascular model to study human spiral artery remodeling in pregnancy.Lab on a chip · 2026Article
- Chemical Distribution Kinetics of Five Polycyclic Aromatic Hydrocarbons in a Microphysiological System.Toxics · 2026Article
- PK-Informed Microphysiological Systems: From Dynamic Dosing to Quantitative In Vitro-In Vivo Translation.Pharmaceutics · 2026Review
- Assessing drug-induced liver injury liabilities in human and animal hepatocytes under static and perfused spheroid culture conditions.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- A Compact, Standalone & Battery-Powered 3D Organoid-on-Chip System with Programmable Flow Control.bioRxiv : the preprint server for biology · 2026Article
- Peripheral nerve sheath tumors-on-a-chip: Next-generation platforms for mechanistic and therapeutic studies.Materials today. Advances · 2026Article
- Reducing Small Molecule Adsorption in a PDMS-Based Microphysiological System of the Female Reproductive Tract via Parylene-C Coating to Improve Mechanistic Studies.ACS applied materials & interfaces · 2026Article
- Advanced microfluidic techniques for the preparation of solid lipid nanoparticles: Innovations and biomedical applications.International journal of pharmaceutics: X · 2025Review
- Primary Human Tissue Models for Metabolic Dysfunction-Associated Liver Disease - toward Streamlining Drug Discovery with Patient-Derived Assays.Advanced biology · 2025Review
- Fetal response to maternal exposures of environmental chemicals: Utility of a four-cell human feto-maternal interface organ-on-chip.Chemico-biological interactions · 2025Article
- Review
- Engineering in vitro vascular microsystems.Microsystems & nanoengineering · 2025Review
- Quantifying and modeling loss of estrogen and progesterone in PDMS-based devices.Microfluidics and nanofluidics · 2025Article
- Organ chips with integrated multifunctional sensors enable continuous metabolic monitoring at controlled oxygen levels.Biosensors & bioelectronics · 2024Article
- Microphysiological system with integrated sensors to study the effect of pulsed electric field.Scientific reports · 2024Article
- Recommendations on fit-for-purpose criteria to establish quality management for microphysiological systems and for monitoring their reproducibility.Stem cell reports · 2024Review
- Compound Absorption in Polymer Devices Impairs the Translatability of Preclinical Safety Assessments.Advanced healthcare materials · 2024Article
- Addressing the ADME Challenges of Compound Loss in a PDMS-Based Gut-on-Chip Microphysiological System.Pharmaceutics · 2024Article
- Electrochemical biosensors on microfluidic chips as promising tools to study microbial biofilms: a review.Frontiers in cellular and infection microbiology · 2024Review
- Breaking the mold: 3D cell cultures reshaping the future of cancer research.Frontiers in cell and developmental biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Microfluidic organ-on-chip devices constructed from polydimethylsiloxane (PDMS) have proven useful in studying both beneficial and adverse effects of drugs, supplements, and potential toxicants. Despite multiple advantages, one clear drawback of PDMS-based devices is binding of hydrophobic chemicals to their exposed surfaces. Chemical binding to PDMS can change the timing and extent of chemical delivery to cells in such devices, potentially altering dose-response curves. Recent efforts have quantified PDMS binding for selected chemicals. Here, we test a wider set of nineteen chemicals using UV-vis or infrared spectroscopy to characterize loss of chemical from solution in two setups with different PDMS-surface-to-solution-volume ratios. We find discernible PDMS binding for eight chemicals and show that PDMS binding is strongest for chemicals with a high octanol-water partition coefficient (log P > 1.85) and low H-bond donor number. Further, by measuring depletion and return of chemical from solution over tens to hundreds of hours and fitting these results to a first order model of binding kinetics, we characterize partitioning into PDMS in terms of binding capacities per unit surface area and both forward and reverse rate constants. These fitted parameters were used to model the impact of PDMS binding on chemical transport and bioavailability under realistic flow conditions and device geometry. The models predict that PDMS binding could alter in-device cellular exposures for both continuous and bolus dosing schemes by up to an order of magnitude compared to nominal input doses.
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.