Evidence map›Paper›PMID 41799131›Full record

ArticleACS omega2026

Graphene Oxide and Conductive Polymer-Enhanced Langmuir-Blodgett Biosensor for Sensitive Detection of Pyrocatechol.

Felipe Merloto Marinho, Coral Salvo-Comino, Maria Luz Rodriguez-Mendez, José Roberto Siqueira Junior, Luciano Caseli

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Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Felipe Merloto MarinhoHybrid Materials Laboratory, Department of Chemistry, Institute of Environmental, Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema 09913-030, Brazil.
Coral Salvo-CominoGroup UVASENS, Department of Inorganic Chemistry. Escuela de Ingenierías Industriales, University of Valladolid, Valladolid 47011, Spain.
Maria Luz Rodriguez-MendezGroup UVASENS, Department of Inorganic Chemistry. Escuela de Ingenierías Industriales, University of Valladolid, Valladolid 47011, Spain.
José Roberto Siqueira JuniorLaboratory of Applied Nanomaterials and Nanostructures, Department of Physics, Institute of Exact and Natural Science and Education, Federal University of Triângulo Mineiro, Uberaba 38.064-200, Brazil.ORCID https://orcid.org/0000-0001-9121-3076
Luciano CaseliHybrid Materials Laboratory, Department of Chemistry, Institute of Environmental, Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema 09913-030, Brazil.ORCID https://orcid.org/0000-0002-1177-8454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we report a novel Langmuir-Blodgett (LB) biosensing platform for the detection of phenolic compounds, using Pyrocatechol as a model analyte. Although LB films have long been explored for polyphenol detection, the present study introduces an innovative hybrid architecture that integrates a lipid matrix (DMPA), a conductive polymer (P3HT), graphene oxide (GO), and laccase into a single, highly organized ultrathin film. This configuration simultaneously enhances film rigidity, reduces surface roughness, and modulates electron-transfer properties in a way not previously reported for LB-based enzymatic sensors. Comprehensive interfacial characterization (surface pressure-area isotherms, dilatational rheology, UV-Vis, AFM) reveals that GO plays a decisive role in promoting compact molecular packing and stabilizing the enzyme-polymer-lipid assembly. As a consequence, the resulting LB films exhibit significantly improved electrochemical performance, including nearly 2-fold higher sensitivity, lower detection limits, and reduced overpotentials compared with films lacking GO. The study also provides mechanistic evidence that the synergy between conductive polymer domains, GO nanosheets, and the immobilized enzyme facilitates more efficient redox cycling of Pyrocatechol. These findings demonstrate that the rational incorporation of GO into LB enzymatic architectures offers a promising route toward next-generation ultrathin biosensors with enhanced analytical performance and structural stability.

Identifiers

PMID41799131
PMCPMC12961474

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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.