Optimization of extraction in supercritical fluids in obtaining <i>Pouteria lucuma</i> seed oil by response surface methodology and artificial neuronal network coupled with a genetic algorithm.

ABSTRACT: When processing lucuma (Pouteria lucuma), waste such as shells and seeds is generated, which is a source of bioactive compounds. Recently, lucuma seed (LS), especially its oily fraction, has been studied for containing phytosterols and tocopherols, powerful antioxidants with health benefits. This study proposes lucuma seed oil (LSO) extraction using supercritical fluid (SCF) to improve the quality of the extract and minimize the environmental impact. LS was previously characterized, and the extraction parameters were optimized using a Box-Behnken design, considering temperature (40-60°C), pressure (100-300 bar), and CO₂ flow rate (3-7 mL/min), applying the response surface methodology (RSM) and neural networks with genetic algorithm (ANN+GA). The optimal parameters were 4

SUBMITTER: Chauca-Cerrutti A 

PROVIDER: S-EPMC11666378 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature