Imágenes hiperespectrales en la predicción de las variables fisicoquímicas y mecánicas de jabón a base de aceite residual de uso doméstico
DOI:
https://doi.org/10.57188/manglar.2025.056Palabras clave:
imágenes hiperespectrales, espectroscopía, modelación, regresión lineal múltiple, optimizaciónResumen
El objetivo del presente estudio fue predecir mediante imágenes hiperespectrales las variables fisicoquímicas y mecánicas de jabones elaborados a partir del aceite residual. Se aplicó un diseño experimental Delineamiento Compuesto Central Rotacional a las variables independientes tiempo de calentamiento, relación solución NaCl/aceite y agitación durante el tiempo de saponificación y teniendo como variable dependiente el pH, dureza, adhesividad y elasticidad. Paralelamente se utilizó la tecnología de imágenes hiperespectrales en modo de reflectancia (896 - 1704 nm) sobre cada tratamiento. Los datos espectrales se correlacionaron con los datos experimentales utilizando modelos PLSR, PCR y MLR. Los modelos MLR presentaron mejor nivel predictivo (R2 de 99,9%, 95,2%, 82,9% y 84,6%, respectivamente para cada variable dependiente). Del procedimiento de optimización, se encontró que, con 5,9495 min de agitación, 0,75 de relación solución NaCl/aceite y 718,182 rpm de agitación durante el proceso de saponificación, se tiene un jabón parecido al comercial.
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Derechos de autor 2025 Joe Jara-Velez, Jhastin Arturo Florián-Huamán, David A. Callirgos-Romero
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Manglar is an open access journal distributed under the terms and conditions of Creative Commons Attribution 4.0 International license
