Evidence map›Paper›PMID 42700181›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Mesoporous PU/PEDOT:PSS Electrodes Reveal Population-Level Stochastic Bioelectrical Dynamics in Marine Diatoms.

David M S Silva, Felipe L Bacellar, Raquel Amaral, Louis-Josselin Lavier-Aydat, Luísa Cortes, Kamal Asadi, Leïla Tirichine, Paulo R F Rocha

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

David M S SilvaBioelectronics & Bioenergy Research Lab, Centre For Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0009-0002-8701-9291
Felipe L BacellarBioelectronics & Bioenergy Research Lab, Centre For Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-1481-1811
Raquel AmaralBioelectronics & Bioenergy Research Lab, Centre For Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-2197-6593
Louis-Josselin Lavier-AydatBioelectronics & Bioenergy Research Lab, Centre For Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
Luísa CortesCNC-UC - Center for Neuroscience and Cell Biology and CiBB - Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0001-5292-4369
Kamal AsadiDepartment of Physics, University of Bath, Bath, Claverton Down, UK.ORCID https://orcid.org/0000-0003-0447-4337
Leïla TirichineCNRS, US2B, Nantes Université, Nantes, France.ORCID https://orcid.org/0000-0002-9491-4414
Paulo R F RochaBioelectronics & Bioenergy Research Lab, Centre For Functional Ecology-Science for People & the Planet, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-8917-9101

Funding

AMI Cotutelle NExT program, Nantes UniversitéAMI Cotutelles NExT program, Project CURRENTANR project Orisigne 276887European Research Council under the European Union's Horizon 2020 research and innovation programme 947897European Union's Horizon Europe research and innovation programme 101247218Portuguese Foundation of Science and Technology 2025.05128.BD
6 · The paper itself

Abstract

Understanding how microbial populations generate and modulate electrical signals remains a major technical challenge because extracellular ionic processes are inherently weak, spatially distributed and stochastic. Here, we introduce a mesoporous ultra-low-impedance PEDOT:PSS electrode that exploits volumetric ionic-electronic coupling to probe stochastic electrochemical dynamics in axenic populations of the marine model diatom Phaeodactylum tricornutum. The three-dimensional porous architecture provides a large electrochemically accessible surface area with high capacitance and low impedance, enabling sensitive detection of non-equilibrium current fluctuations under applied bias. Applied bias systematically amplifies stochastic electrical fluctuations, while living diatoms significantly modify their amplitude and temporal statistics. Noise analysis reveals enhanced low-frequency fluctuations, increased power-law exponents and higher transient-event rates, indicating biologically driven perturbations of the local electrochemical environment. Pharmacological inhibition with tetraethylammonium suppresses spontaneous electrical activity, providing independent functional evidence that membrane-associated potassium-dependent processes contribute to the measured signals. Increasing diatom cell density further produces progressively larger spectral exponents and distinct changes in stochastic-event dynamics, demonstrating that these electrical signatures encode microbial population density. These findings establish stochastic electrochemical noise as a sensitive, label-free probe of microbial bioelectrochemical activity and a bioelectronic strategy for monitoring living microbial systems through their intrinsic non-equilibrium electrical fluctuations.

Indexed as

diatom ecophysiologymesoporous electrodesmicroalgaemixed ionic‐electronic conductionPEDOT:PSSstochastic bioelectrochemistry

Identifiers

PMID42700181
PMCPMC13546024

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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.