# Optimization of the Extraction of Bioactive Compounds and Metabolomic Profile of Licaria armeniaca

**Authors:** Lanalice R. Ferreira, Bianca R. Abelém, José Diogo E. Reis, Christelle Anne N. P. Herman, Pablo Luis B. Figueiredo, Laine Celestino Pinto, Luiza Helena Martins, Milton Nascimento da Silva, Paulo Wender P. Gomes, Joyce Kelly R. da Silva

PMC · DOI: 10.3390/plants14203158 · Plants · 2025-10-14

## TL;DR

This paper optimizes the extraction of bioactive compounds from Licaria armeniaca and identifies their metabolomic profiles and cancer cell toxicity.

## Contribution

The study introduces optimized ultrasound-assisted extraction parameters and a detailed metabolomic profile of Licaria armeniaca tissues.

## Key findings

- Optimal extraction conditions varied by tissue type, with leaves and thin branches showing strong predictive models.
- Metabolomic analysis revealed alkaloids as a major component in all tissues, with varying proportions of amino acids and other compounds.
- Extracts showed significant cytotoxic activity against multiple cancer cell lines with IC50 values under 50 μg/mL.

## Abstract

The ultrasound-assisted extraction (UAE) method was optimized to extract bioactive compounds from Licaria armeniaca tissues. Extraction time, solid–liquid ratio (m/v), and ethanol percentage were investigated using a central composite rotational design and response surface methodology (RSM). Antioxidant activity (DPPH) and total phenolic content (TPC) served as the response variables. Most efficient extraction conditions were obtained for leaves (64.88% ethanol, 26.07 min, 6.23% m/v; R2 = 0.93) and thin branches (73.81% ethanol, 31.34 min, 11% m/v; R2 = 0.74). For thick branches, no significant predictive model was obtained, and optimal points were defined based on the best observed TPC and DPPH results (50% ethanol, 35 min, 11% m/v). The optimized extracts were analyzed by liquid chromatography–tandem mass spectrometry associated with molecular networking, GNPS (Global Natural Products Social Molecular Network) library searching, and machine learning tools. Metabolomic profiling indicated that leaves contained mainly alkaloids (46.34%), amino acids and peptides (19.51%), and shikimate derivatives and phenylpropanoids (12.20%). Thin branches showed predominance of alkaloids (35.97%), amino acids and peptides (20.86%), and carbohydrates (12.23%), while thick branches contained alkaloids (46.34%), amino acids and peptides (25.00%), and fatty acids (14.26%). Additionally, the extracts displayed significant cytotoxic activity against cancer cell lines of AGP-01 (malignant gastric ascites), AHOL (Human glioblastoma) and A549 (lung cancer) with IC50 values less than 50 μg/mL.

## Linked entities

- **Chemicals:** ethanol (PubChem CID 702)
- **Diseases:** glioblastoma (MONDO:0018177), lung cancer (MONDO:0005138)
- **Species:** Licaria armeniaca (taxon 1924205)

## Full-text entities

- **Diseases:** glioblastoma (MESH:D005909), lung cancer (MESH:D008175), malignant gastric ascites (MESH:D001201), cancer (MESH:D009369)
- **Chemicals:** shikimate (MESH:C000723335), DPPH (MESH:C004931), ethanol (MESH:D000431), phenolic (-), carbohydrates (MESH:D002241), alkaloids (MESH:D000470), amino acids (MESH:D000596), peptides (MESH:D010455), fatty acids (MESH:D005227)
- **Species:** Homo sapiens (human, species) [taxon 9606], Licaria armeniaca (species) [taxon 1924205]
- **Cell lines:** A549 — Homo sapiens (Human), Lung adenocarcinoma, Cancer cell line (CVCL_0023), AGP-01 — Homo sapiens (Human), Gastric adenocarcinoma, Cancer cell line (CVCL_IK53), AHOL — Homo sapiens (Human), Glioblastoma, Cancer cell line (CVCL_XH23)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12566995/full.md

## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12566995/full.md

## References

87 references — full list in the complete paper: https://tomesphere.com/paper/PMC12566995/full.md

---
Source: https://tomesphere.com/paper/PMC12566995