Evidence map›Paper›PMID 40488052›Full record

ArticleACS omega2025

Living Kombucha Electronics with Proteinoids.

Anna Nikolaidou, Panagiotis Mougkogiannis, Andrew Adamatzky

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Fast and Slow Signal Propagation in Abiotic Polypeptide Assemblies.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Article
  4. Review
  5. 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

3 authors.

Anna NikolaidouUnconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.ORCID https://orcid.org/0000-0002-2787-8986
Panagiotis MougkogiannisUnconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.ORCID https://orcid.org/0000-0003-1710-4917
Andrew AdamatzkyUnconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The work introduces a composite material that combines Kombucha cellulose mats with synthetic thermal proteinoids to create electroactive biofilms, capable of sensing and computation. The synthesis of proteinoids involves heating amino acid mixtures, which leads to the formation of proto-cell structures capable of biological electrical signaling. We demonstrate that these hybrid biofilms exhibit adjustable memristive and memfractance properties, which can be utilized for unconventional computing tasks. The potential applications of living biofilms extend beyond neural interfaces, encompassing bioinspired robotics, smart wearables, adaptive biorobotic systems, and other technologies that rely on dynamic bioelectronic materials. The composite films offer a wide range of options for synthesis and performance customization. Current research is dedicated to customizing the composition, nanostructure, and integration of proteinoids in hybrid circuits to achieve specific electronic functionalities. Overall, these cross-kingdom biofilms are an intriguing category of materials that combine the unique properties of biological organisms and smart polymers. The Kombucha-proteinoid composites are a significant step forward in the development of future technologies that bridge the gap between living and artificial life systems. These composites have the remarkable ability to support cellular systems and demonstrate adaptive bioelectronic behavior.

Identifiers

PMID40488052
PMCPMC12138622

What OpenQuestion holds

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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.