Evidence map›Paper›PMID 32872228›Full record

ReviewBiosensors2020

Integrating Biosensors in Organs-on-Chip Devices: A Perspective on Current Strategies to Monitor Microphysiological Systems.

Erika Ferrari, Cecilia Palma, Simone Vesentini, Paola Occhetta, Marco Rasponi

Abstract readReview
In one paragraph

Review in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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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

5 authors.

Erika FerrariDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0003-3863-0596
Cecilia PalmaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0001-9517-1803
Simone VesentiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.
Paola OcchettaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0002-5758-2019
Marco RasponiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0003-0868-7372

Funding

Fondazione Cariplo 2018-0551H2020 Marie Skłodowska-Curie Actions 841975
6 · The paper itself

Abstract

Organs-on-chip (OoC), often referred to as microphysiological systems (MPS), are advanced in vitro tools able to replicate essential functions of human organs. Owing to their unprecedented ability to recapitulate key features of the native cellular environments, they represent promising tools for tissue engineering and drug screening applications. The achievement of proper functionalities within OoC is crucial; to this purpose, several parameters (e.g., chemical, physical) need to be assessed. Currently, most approaches rely on off-chip analysis and imaging techniques. However, the urgent demand for continuous, noninvasive, and real-time monitoring of tissue constructs requires the direct integration of biosensors. In this review, we focus on recent strategies to miniaturize and embed biosensing systems into organs-on-chip platforms. Biosensors for monitoring biological models with metabolic activities, models with tissue barrier functions, as well as models with electromechanical properties will be described and critically evaluated. In addition, multisensor integration within multiorgan platforms will be further reviewed and discussed.

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesMonitoring, PhysiologicDrug Evaluation, PreclinicalHumansMicrochip Analytical ProceduresMicrofluidicsModels, BiologicalOligonucleotide Array Sequence AnalysisTissue Engineeringbiosensorsdrug screeningelectrodesin vitro modelsmicrofabricationmicrofluidicsmicrophysiological systemsmultiorgan-on-chiporgans-on-chip

Identifiers

PMID32872228
PMCPMC7558092

What OpenQuestion holds

Textmetadata
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.