Evidence map›Paper›PMID 41557006›Full record

ArticleEuropean biophysics journal : EBJ2026

Impact of glucose on a Gel-A-Based polyphenol biosensor: A QCM-D study.

Giorgia Tori, Antonella Battisti, Mariacristina Gagliardi, Marco Cecchini

Abstract read
PubMed Publisher
In one paragraph

Article in European biophysics journal : EBJ, 2026. 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. 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

4 authors.

Giorgia ToriNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro, 56127, Pisa, Italy.
Antonella BattistiNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro, 56127, Pisa, Italy. antonella.battisti@cnr.it.ORCID http://orcid.org/0000-0003-4431-7475
Mariacristina GagliardiNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro, 56127, Pisa, Italy.
Marco CecchiniNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro, 56127, Pisa, Italy.

Funding

European Union and Italian Ministry of University and Research 2022M4WB3M CUP B53D23017860006Regione Toscana (IT) CUPST 27716.29122023.042000279_2402 CUPCIPE 27716.29122023.042000279_2402
6 · The paper itself

Abstract

Polyphenols play a key role in the agrifood sector, particularly in winemaking and olive oil production, where they contribute to product quality assessment. In this study, the potential interference of glucose on our previously developed Gelatin type A-based polyphenol biosensor was evaluated using Quartz Crystal Microbalance with Dissipation Monitoring (QCM-D). Since glucose is naturally present in grapes, olives, and their derivatives, its effect on the biosensor performance must be assessed to ensure reliable polyphenol detection. The biosensor response to glucose was tested across a wide concentration range (10–6 to 3 × 102 g L−1), covering typical glucose content found in musts and wines. The results showed minimal biosensor response, even at the highest glucose concentration, indicating negligible interference with the biosensor signal. These findings suggest that this biosensor can accurately detect polyphenols in real samples without significant signal distortion from glucose. Overall, the study reinforces the biosensor’s potential application in oenology and other agrifood contexts such as olive oil production.

Indexed as

Biosensing TechniquesGelatinGlucosePolyphenolsQuartz Crystal Microbalance TechniquesGelsGelatinGelsGlucosePolyphenolsAgrifood biosensorsAgrifood sensorsFood quality assessmentPolyphenols detectionQCM-D

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.