Evidence map›Paper›PMID 41891198›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Proteinoid Computing on Olivine Substrates.

Panagiotis Mougkogiannis, Andrew Adamatzky

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 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

2 authors.

Panagiotis MougkogiannisUnconventional Computing Laboratory, University of the West of England, Coldharbour Lane, Stoke Gifford, Bristol BS16 1QY, U.K.ORCID 0000-0003-1710-4917
Andrew AdamatzkyUnconventional Computing Laboratory, University of the West of England, Coldharbour Lane, Stoke Gifford, Bristol BS16 1QY, U.K.ORCID 0000-0003-1073-2662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate proteinoid systems formed on olivine mineral substrates, focusing on self-organization, electrochemical properties, and information-processing capacity. Olivine's ubiquity in meteorites, planetary surfaces, and protoplanetary disks makes it a geochemically relevant template for prebiotic chemistry across cosmic environments. Glu:Phe:Asp proteinoids synthesized in olivine-rich acidic solutions─mimicking early Earth hydrothermal conditions─were characterized using scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and differential pulse voltammetry (DPV). The proteinoids self-assembled into spherical microspheres (2-15 μm in diameter), dendritic networks, and complex mineral-templated architectures. Budding-like reproduction and neuron-like branching morphologies emerged spontaneously. Electrochemical analysis revealed stable impedance profiles that, when thresholded, enabled Boolean logic operations (AND, OR, XOR, and NOT). Galvanostatic measurements showed spontaneous electrical oscillations with burst dynamics, heavy-tailed distributions, and non-Poissonian statistics, which are signatures of complex adaptive systems. Olivine substrates stabilized the electrical behavior while preserving computational functionality. These findings suggest that proteinoid-olivine hybrids can perform unconventional computing tasks while simultaneously exhibiting biomimetic self-assembly and primitive reproductive behaviors. This work illuminates mineral-organic interactions relevant to both terrestrial and extraterrestrial prebiotic chemistry and provides a foundation for bioinspired computing systems that merge organic self-organization with mineral-based information processing.

Identifiers

PMID41891198
PMCPMC13068363

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Registered trials

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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.