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Computación de Protocélulas sobre Sustratos de Aragonita
Panagiotis Mougkogiannis1, Andrew Adamatzky1
1Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.
ACS omega
|February 2, 2026
Resumen
Las microestructuras de aragonita-proteinoide exhiben capacidades de lógica booleana, funcionando como nuevos materiales de biocomputación. Estos híbridos minerales-orgánicos muestran potencial para aplicaciones bioelectrónicas y generación autónoma de señales.
Área de la Ciencia:
- Ciencia de Materiales
- Biocomputación
- Nanotecnología
Sus antecedentes:
- Las microestructuras de aragonita-proteinoide combinan carbonato de calcio inorgánico con redes de proteinoide orgánico.
- Estos materiales se están explorando por su potencial en nuevos paradigmas de computación.
Objetivo del estudio:
- Investigar las capacidades computacionales de las microestructuras de aragonita-proteinoide.
- Evaluar su idoneidad para aplicaciones bioelectrónicas y neuromórficas.
Principales métodos:
- Microscopía electrónica de barrido (SEM) para análisis estructural.
- Pruebas electroquímicas, incluyendo voltametría cíclica y voltametría de onda cuadrada.
- Espectroscopía de impedancia para analizar las características del circuito.
Principales resultados:
- Las microestructuras exhiben formas dendríticas y topologías de red.
- Demostraron operaciones lógicas booleanas (AND, OR, NOT, NAND, NOR, XOR, XNOR) clasificando señales analógicas.
- Rendimiento óptimo en el rango de 30-50 Hz con comportamiento oscilatorio autónomo durante 25 horas.
- Características de circuito estables pero degradación electroquímica creciente con el tiempo.
Conclusiones:
- Las microestructuras de aragonita-proteinoide muestran una promesa significativa para la computación basada en materiales.
- Sus propiedades electroquímicas ajustables y señalización autónoma son ideales para la electrónica biohíbrida y dispositivos neuromórficos.
- El enfoque de interfaz mineral-orgánica une materiales sintéticos con principios de computación biológica.
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