Evidence map›Paper›PMID 37202451›Full record

ArticleScientific reports2023

An organ-on-chip device with integrated charge sensors and recording microelectrodes.

Hande Aydogmus, Michel Hu, Lovro Ivancevic, Jean-Philippe Frimat, Arn M J M van den Maagdenberg, Pasqualina M Sarro, Massimo Mastrangeli

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  6. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
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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

7 authors.

Hande AydogmusECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands. H.Aydogmus@tudelft.nl.
Michel HuDepartment of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands.
Lovro IvancevicECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands.
Jean-Philippe FrimatDepartment of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands.ORCID 0000-0001-8313-4511
Arn M J M van den MaagdenbergDepartment of Human Genetics, Leiden University Medical Centre, 2333 ZC, Leiden, The Netherlands.ORCID 0000-0002-9310-5535
Pasqualina M SarroECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands.ORCID 0000-0002-2766-0880
Massimo MastrangeliECTM, Department of Microelectronics, Delft University of Technology, Delft, 2628 CD, The Netherlands.ORCID 0000-0003-3265-5768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for in vitro drug screening and disease modeling. Integrated sensing units are particularly convenient for microenvironmental monitoring. However, sensitive in vitro and real-time measurements are challenging due to the inherently small size of OoC devices, the characteristics of commonly used materials, and external hardware setups required to support the sensing units. Here we propose a silicon-polymer hybrid OoC device that encompasses transparency and biocompatibility of polymers at the sensing area, and has the inherently superior electrical characteristics and ability to house active electronics of silicon. This multi-modal device includes two sensing units. The first unit consists of a floating-gate field-effect transistor (FG-FET), which is used to monitor changes in pH in the sensing area. The threshold voltage of the FG-FET is regulated by a capacitively-coupled gate and by the changes in charge concentration in close proximity to the extension of the floating gate, which functions as the sensing electrode. The second unit uses the extension of the FG as microelectrode, in order to monitor the action potential of electrically active cells. The layout of the chip and its packaging are compatible with multi-electrode array measurement setups, which are commonly used in electrophysiology labs. The multi-functional sensing is demonstrated by monitoring the growth of induced pluripotent stem cell-derived cortical neurons. Our multi-modal sensor is a milestone in combined monitoring of different, physiologically-relevant parameters on the same device for future OoC platforms.

Indexed as

SiliconTransistors, ElectronicElectronicsMicroelectrodesMicrophysiological SystemsSilicon

Identifiers

PMID37202451
PMCPMC10195821

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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.