Evidence map›Paper›PMID 41293751›Full record

ArticleMicrofluidics and nanofluidics2025

Quantifying and modeling loss of estrogen and progesterone in PDMS-based devices.

Nathaniel G Hermann, Richard A Ficek, Dmitry A Markov, Lisa J McCawley, M Shane Hutson

Abstract read
In one paragraph

Article in Microfluidics and nanofluidics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Frontiers in global women's health · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nathaniel G HermannDepartment of Physics and Astronomy, Vanderbilt University, Nashville, 37240 TN USA.
Richard A FicekDepartment of Physics and Astronomy, Vanderbilt University, Nashville, 37240 TN USA.
Dmitry A MarkovDepartment of Biomedical Engineering, Vanderbilt University, Nashville, 37240 TN USA.
Lisa J McCawleyDepartment of Biomedical Engineering, Vanderbilt University, Nashville, 37240 TN USA.
M Shane HutsonDepartment of Physics and Astronomy, Vanderbilt University, Nashville, 37240 TN USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An early study on the biological consequences of using polydimethysiloxane (PDMS) for microfluidic cell culture reported that estrogens could be sequestered by PDMS; however, the PDMS interaction parameters of specific hormones have not been reported. Without these parameters, it is not possible to assess whether such sequestration is a problem for a particular device and flow rate combination. Here we quantify chemical-PDMS interactions for a commonly used estrogen and two additional steroid-class hormones: estradiol, aldosterone, and progesterone. We find that aldosterone does not detectably interact with PDMS; estradiol interacts modestly; and progesterone interacts strongly. Based on these measured interactions, we computationally model dynamic dosing protocols based on pulsed/bolus delivery and circadian control. We show that interactions with PDMS can strongly disrupt these dynamic dosing protocols in a chemical-specific and flow-rate-dependent manner. Notably, estradiol-PDMS interactions can have significant impacts under static conditions or low flow rates, but those impacts become negligible at higher flow rates. These results have critical implications for the use of steroid hormones in PDMS-based microfluidic devices.

Indexed as

EstrogenMicrofluidicsOrgan-on-a-chipPolydimethylsiloxaneProgesteroneSteroid hormones

Identifiers

PMID41293751
PMCPMC12642809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.