Evidence map›Paper›PMID 32933204›Full record

ArticleBiosensors2020

Screen-Printed Glucose Sensors Modified with Cellulose Nanocrystals (CNCs) for Cell Culture Monitoring.

Ye Tang, Konstantinos Petropoulos, Felix Kurth, Hui Gao, Davide Migliorelli, Olivier Guenat, Silvia Generelli

Abstract read
In one paragraph

Article in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Cellulose-Based Electrochemical Sensors.Sensors (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

7 authors.

Ye TangSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.
Konstantinos PetropoulosSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.
Felix KurthSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.
Hui GaoSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.
Davide MigliorelliSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.ORCID 0000-0002-8811-8905
Olivier GuenatOrgans-on-Chip Technologies, ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland.ORCID 0000-0003-1103-9712
Silvia GenerelliSwiss Center for Electronics and Microtechnology (CSEM, Landquart), Bahnhofstrasse 1, 7302 Landquart, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose sensors are potentially useful tools for monitoring the glucose concentration in cell culture medium. Here, we present a new, low-cost, and reproducible sensor based on a cellulose-based material, 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO) oxidized-cellulose nanocrystals (CNCs). This novel biocompatible and inert nanomaterial is employed as a polymeric matrix to immobilize and stabilize glucose oxidase in the fabrication of a reproducible, operationally stable, highly selective, cost-effective, screen-printed glucose sensor. The sensors have a linear range of 0.1-2 mM (R

Indexed as

Biosensing TechniquesCell Culture TechniquesCelluloseElectrodesGlucoseGlucose OxidaseNanoparticlesCelluloseGlucoseGlucose Oxidaseamperometric glucose sensorcell culture monitoringcellulose nanocrystalslong-term stabilityscreen-printed electrodes

Identifiers

PMID32933204
PMCPMC7557574

What OpenQuestion holds

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LicenceCC BY
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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.