Protocell Computing on Aragonite Substrates
Panagiotis Mougkogiannis, Andrew Adamatzky
TL;DR
Aragonite-proteinoid microstructures can perform basic computing tasks and generate signals autonomously, offering potential for bioelectronic applications.
Contribution
Aragonite-proteinoid microstructures enable Boolean logic operations and autonomous oscillatory behavior for biohybrid computing.
Findings
Aragonite-proteinoid structures perform all seven basic Boolean logic operations using analog-to-binary signal classification.
These microstructures exhibit autonomous oscillatory behavior for over 25 hours at ultralow frequencies.
They show electrochemical degradation over time but maintain stable resistive and capacitive properties.
Abstract
Aragonite-proteinoid microstructures are an emerging type of biocomputing material. They mix inorganic calcium carbonate with self-assembled organic proteinoid networks. Scanning electron microscopy shows a range of structures. These include isolated microspheres and complex networks over 50 μm. They have dendritic shapes, with uneven nodes that create linear patterns resembling simple network topologies. Electrochemical testing shows a threshold response. This allows for all seven basic Boolean logic operations: AND, OR, NOT, NAND, NOR, XOR, and XNOR. It does this by classifying analog signals into binary states. This suggests a promising future for material-based computation. Frequency-dependent square wave voltammetry shows power-law scaling. It performs best in the 30–50 Hz range, which is important for biological use. This indicates adjustable electrochemical properties that are…
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Taxonomy
TopicsOrigins and Evolution of Life · Supramolecular Self-Assembly in Materials · Plant and Biological Electrophysiology Studies