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This work aims to synthesize and evaluate CaO-based nanocatalysts to optimize biodiesel production using AI techniques.

Synthesized CaO-Based Nanocatalysts for Sustainable Biodiesel Production: Artificial Intelligence (AI) Optimization of a Green Nanotechnological Strategy toward Reactor Design

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This work aims to synthesize and evaluate CaO-based nanocatalysts to optimize biodiesel production using AI techniques.
Synthesis of CaO, BaOCaO, and BaOTiOCaO nanocatalysts from waste eggshells
Characterization using SEM/EDX, TEM, FTIR, and XRD
Catalytic testing for transesterification of waste cooking oil
Development of machine learning models (Random Forest, Gradient Boosting, XGBoost) on 189 datasets
Maximum biodiesel yields achieved: CaO (80%), BaOCaO (90%), BaOTiOCaO (96%)
Random Forest model attained highest predictive accuracy (R2 = 0.91) for biodiesel yield
Optimized conditions predicted 95.31% yield at 54 °C, 169 min, and a 4:1 methanol-to-oil ratio

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Experimental evaluation of nanocatalysts improves biodiesel yield, suggesting tech advancements for efficiency.

BenSlimene et al. (2026) studied this question.

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