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ORIGINAL RESEARCH article

Front. Chem.
Sec. Green and Sustainable Chemistry
Volume 12 - 2024 | doi: 10.3389/fchem.2024.1491479
This article is part of the Research Topic Application of Emerging Technologies Aiming at The Recovery of Biomolecules View all 6 articles

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

Provisionally accepted
Alex Chauca-Cerrutti Alex Chauca-Cerrutti 1Marianela Inga Marianela Inga 1*José L. Pasquel-Reátegui José L. Pasquel-Reátegui 2Indira Betalleluz Pallardel Indira Betalleluz Pallardel 1Gustavo Puma Gustavo Puma 1
  • 1 Facultad de Industrias Alimentarias, Universidad Nacional Agraria La Molina, Lima, Peru
  • 2 Grupo de Investigación en Ingeniería y Tecnología Agroindustrial, Facultad de Ingeniería Agroindustrial, Universidad Nacional de San Martín (UNSM), Tarapoto, San Martin, Peru

The final, formatted version of the article will be published soon.

    In 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 research proposes to extract lucuma seed oil (LSO) using supercritical fluid (SCF) to improve the quality of the extract and minimize the environmental impact. LS was previously characterized, and then 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 results indicated optimal parameters of 45°C, 300 bar, and 6 mL/min, obtaining a yield of 97.35% of the total oil. The RSM and ANN+GA models showed a R2 values of 0.9891 and 0.9999 respectively, showing that both models present a good fit to the experimental data. However, ANN+GA provides a greater proportion of the total variability, which facilitates the identification of the optimal parameters for the extraction of oil from lucuma seeds. Compared to the Soxhlet method, the LSO obtained by SCF presented better acidity (4.13 mg KOH/g), iodine (100.3 cg I/g), and refraction (1.47) indices, as well as to a higher content of mono- and polyunsaturated fatty acids. Supercritical CO2 extraction is presented as a sustainable green alternative to Soxhlet extraction in extracting oil from lucuma seed due to its high extraction efficiency and similar fatty acid profile.

    Keywords: Circular economy, polyunsaturated fatty acids, Polyphenols, antioxidant activity, Agro-industrial waste, Ecofriendly

    Received: 04 Sep 2024; Accepted: 21 Oct 2024.

    Copyright: © 2024 Chauca-Cerrutti, Inga, Pasquel-Reátegui, Betalleluz Pallardel and Puma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Marianela Inga, Facultad de Industrias Alimentarias, Universidad Nacional Agraria La Molina, Lima, Peru

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.