Diseño Basado en Datos de Nanoestructuras de CeO₂ con Morfología Controlada y Propiedades Catalíticas Ajustables

Autores/as

DOI:

https://doi.org/10.29057/aactm.v13i13.17288

Palabras clave:

óxido de cerio, análisis multivariante, UMAP, optimización bayesiana, control morfológico, relaciones estructura-propiedad, ingeniería de defectos

Resumen

Las nanoestructuras de óxido de cerio (CeO2) con morfologías controladas (esferulitas, nanobarras cortas y nanobarras largas) se sintetizaron mediante un diseño factorial que varió la concentración de octadecilamina (0.01–0.2 M) y la relación etanol/agua (α = 0.3–3.0). A partir de una caracterización exhaustiva, se seleccionaron 15 propiedades fisicoquímicas clave para un análisis multivariante. El análisis de componentes principales reveló una agrupación morfológica: el primer componente principal (55 % de varianza) separó las muestras según la densidad de defectos y el área superficial, mientras que el segundo componente principal (25 % de varianza) lo hizo según la relación de aspecto. La regresión por Mínimos Cuadrados Parciales mostró que los parámetros de síntesis explican más del 90 % de la varianza en las propiedades, siendo la concentración de octadecilamina el factor dominante. El método de K‑medias confirmó tres grupos diferenciados. La proyección uniforme de variedades y aproximación (UMAP) proporcionó una visualización no lineal superior, sugiriendo heterogeneidad dentro de la muestra óptima, consistente con la polidispersidad observada por microscopía electrónica de transmisión (TEM, coeficiente de variación de longitud = 60.3 %). Sin embargo, debido al reducido tamaño muestral (n = 4), no se pueden identificar subpoblaciones estadísticamente fiables; la alta polidispersidad refleja una distribución continua de longitudes. La optimización multiobjetivo identificó a la muestra denominada BB (0.05 M de octadecilamina, α = 1.0) como la condición óptima: área superficial de 79.9 m2/g, contenido de Ce3+ de 30.2 %, relación de aspecto de 5.4 y banda prohibida de 3.02 eV, alcanzando una deseabilidad global de 0.913. La optimización bayesiana sugiere explorar valores cercanos a [octadecilamina] = 0.250 M, α = 1.002 (deseabilidad predicha de 0.904). Esta prueba de concepto demuestra el diseño de nanomateriales basado en datos; sin embargo, la capacidad predictiva requiere validación con conjuntos de datos más amplios.

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Biografía del autor/a

B. Trujillo-Navarrete, Tecnológico Nacional de México

Dr. Balter Trujillo-Navarrete es profesor e investigador en TecNM/IT. Tijuana. Se especializa en el desarrollo de nanomateriales avanzados como óxidos dopados y perovskitas para aplicaciones ambientales, incluidos sensores de contaminantes y energía limpia.

Citas

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Publicado

2026-10-05

Cómo citar

Trujillo-Navarrete, B. (2026). Diseño Basado en Datos de Nanoestructuras de CeO₂ con Morfología Controlada y Propiedades Catalíticas Ajustables. Tópicos De Investigación En Ciencias De La Tierra Y Materiales, 13(13), 51–61. https://doi.org/10.29057/aactm.v13i13.17288