Optimization of Ultrasound-Assisted Extraction of (−)-Stepholidine from <i>Onychopetalum amazonicum</i> Leaves Using Response Surface Methodology
(-)-Stepholidine, a naturally occurring alkaloid found in the leaves of Onychopetalum amazonicum (Annonaceae), has shown significant pharmacological potential and serves as an important precursor in the synthesis of bioactive compounds. Currently, ultrasound-assisted extraction (UAE), combined with optimization through response surface methodology (RSM), has emerged as a promising strategy to enhance the efficiency of extraction processes. This study aimed to develop an efficient method for extracting (-)-stepholidine from the leaves of <i>O. amazonicum</i>. Powdered leaves were extracted using methanol-based systems assisted by ultrasound, following a central composite rotatable design (CCRD) with three factors: plant-to-solvent ratio (X<sub>1</sub>), methanol concentration (X<sub>2</sub>), and extraction time (X<sub>3</sub>). The samples were quantified by NMR using the PULCON method. The model was validated by ANOVA, and the optimal conditions were determined using RSM. The factors X<sub>2</sub> <sup>2</sup> (methanol percentage), X<sub>3</sub> (extraction time), and the interaction X<sub>1</sub>·X<sub>3</sub> (plant-to-solvent ratio × extraction time) significantly influenced (-)-stepholidine concentration (<i>p</i> < 0.05). The model showed a good fit (R<sup>2</sup> = 0.728) and was statistically significant (<i>p</i> = 0.0005). The optimal conditions identified were as follows: a plant-to-solvent ratio of 1:10, 100% methanol, and 20 min of extraction. Experimental validation yielded an average (-)-stepholidine concentration of 82.8 ± 1.3 mg per g of extract, close to the predicted value of 81.2 mg/g. This study demonstrates that optimizing extraction parameters, such as the plant-to-solvent ratio, methanol percentage, and extraction time, is crucial for maximizing (-)-stepholidine recovery. These findings also support the potential of UAE combined with qNMR as a reliable and reproducible approach for the extraction and quantification of bioactive compounds from plant matrices.
Authors
- Lucas Apolinário Chibli (ORCID: https://orcid.org/0000-0001-7341-8510)
- Afonso Duarte Leão de Souza (ORCID: https://orcid.org/0000-0001-7007-3991)
- Rebeca dos Santos França
- Marcos B. Machado (ORCID: https://orcid.org/0000-0002-8791-4803)
- Felipe M. A. da Silva (ORCID: https://orcid.org/0000-0002-1809-1372)
- Héctor H. F. Koolen (ORCID: https://orcid.org/0000-0002-0181-348X)
- Maria Lúcia B. Pinheiro (ORCID: https://orcid.org/0000-0002-3196-4748)
- Giovana A. Bataglion (ORCID: https://orcid.org/0000-0001-6643-9268)
- Bruna Ribeiro de Lima (ORCID: https://orcid.org/0000-0002-6481-9213)
- A. Castro (ORCID: https://orcid.org/0009-0008-2004-9000)
- Kidney O.G. Neves (ORCID: https://orcid.org/0009-0004-8149-5400)
Institutions
- Instituto Nacional de Pesquisas da Amazônia (BR)
- Centro Universitário de Jaraguá do Sul (BR)
- Escola Superior de Ciências da Saúde (BR)
- Universidade do Estado do Amazonas (BR)
- Centro Multidisciplinar de Tecnologías para la Industria (ES)
- Líbera Tecnologia e Inovação (Brazil) (BR)
- Universidade Federal do Amazonas (BR)
Publication Details
- Journal
- ACS Omega
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1021/acsomega.5c06822
- Primary Topic
- Traditional and Medicinal Uses of Annonaceae
- Type
- article
- Field-Weighted Citation Impact
- 0.00