Evidence map›Paper›PMID 42389202›Full record

ArticleSensors and actuators. B, Chemical2025

Optical imaging of microfluidic integrated smart hydrogels for research and sensing applications.

Saeed Boroomand, Simon Binder, Moritz Leber, Juan Pablo Botero Torres, Jules J Magda, Florian Solzbacher, Christopher F Reiche, Lars B Laurentius

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. GELATO: multi-material topology optimization of programmable gel-elastomer structures.Structural and multidisciplinary optimization : journal of the International Society for Structural and Multidisciplinary Optimization · 2026
    Article
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

8 authors.

Saeed BoroomandDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Simon BinderDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-9441-0366
Moritz LeberBlackrock Neurotech Inc., Salt Lake City, UT 84108, USA.ORCID 0000-0001-6872-293X
Juan Pablo Botero TorresDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-1790-4896
Jules J MagdaDepartment of Chemical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Florian SolzbacherDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Christopher F ReicheDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-6216-5888
Lars B LaurentiusDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-8528-5727

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
NIDDK NIH HHS P30 DK020579
6 · The paper itself

Abstract

Smart hydrogels are a versatile class of materials that are attractive for biomedical sensor applications due to their potential biocompatibility and stimuli-responsiveness. However, the integration of these hydrogels into sensors requires development and engineering efforts to optimize the volume phase transition and time response for the respective sensing applications. This work presents an optical evaluation platform for investigating hydrogel swelling properties in a liquid environment with automated flow control. It employs hydrogel features integrated in microfluidic test strips which are easily interchangeable. The evaluation is carried out using an image sensor that records multiple miniaturized hydrogels in parallel. Overall performance is demonstrated by studying the swelling respones of two different hydrogel compositions (based on acrylamide: a polyampholytic glucose-responsive hydrogel as well as a hydrogel optimized for response to ionic strength and temperature) to various external stimuli, which include sodium chloride, temperature, and glucose as well as glucose spiked into serum and blood. The inclusion of relevant body fluids used in diagnostics potentially enables pathways for this sensing platform to be employed at the point-of-care setting.

Indexed as

Glucose sensingHough transformHydrogelsImage processingMicrofluidicsOptical sensing platformSemi-transparent object detectionWeka segmentation

Identifiers

PMID42389202
PMCPMC13322282

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.