ArticleACS omega2025
Statistical Optimization and Machine-Learning-Based Analysis of Palm Oil Pretreatment (3-90% FFA) for Enhanced Free Fatty Acid Conversion in Biodiesel Production.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Palm oil is a highly efficient feedstock for large-scale biodiesel production, as it yields significantly more oil per agricultural area than other common oil crops, such as soybeans or sunflowers. However, crude palm oil often faces a high level of free fatty acid (FFA) problems, hindering biodiesel production. Pretreatment, such as esterification, is thus employed to convert FFA to fatty acid methyl ester (FAME) and avoid undesired byproducts. Response surface method (RSM) has been widely and effectively used to optimize the pretreatment conditions. To address this challenge, raw palm oil (a mixture of palm stearin and palm fatty acid distillate) with the initial FFA of 3-90% was used in the pretreatment process. A four-factor-three-level Box-Behnken experimental design was deployed to estimate the final FFA as a function of reaction time (0.5-4 h, X
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