Genetic Neural Network-Assisted Natural Deep Eutectic Solvent Extraction for Enhanced Bioactive Yield from Folium Mori with Cytotoxicity Profiling
Natural deep eutectic solvents (NaDESs) was efficient and green for componential extraction of traditional Chinese medicine compared to conventional organic solvents. In this study, a total of nine NaDESs were synthesized and screened, and Proline-Urea (Pro-Ur) was screened as extract solvent for experiments. Five bioactive components (neochlorogenic acid, chlorogenic acid, rutin, isoquercitrin and kaempferol-3-O-rutinoside) were selected as target components. The optimal process was as follows: NaDES content of 60%, solid to liquid ratio of 80 mg/mL, extract temperature of 70°C and extract time of 40 min. The predicted comprehensive value of extraction yield was 0.4364. The IC50 of Betaine-Urea on PC12 cells was ~0.3% (v/v).
Authors
- Jinglin Shen (ORCID: https://orcid.org/0000-0003-1921-4407)
- Ping Huang
- Yanxia Zhou (ORCID: https://orcid.org/0000-0003-1561-8922)
- Hongmei Chen (ORCID: https://orcid.org/0000-0002-5621-4978)
Institutions
- Zhejiang Chinese Medical University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
Publication Details
- Journal
- Journal of Chromatographic Science
- Published
- 2025-08-30
- DOI
- https://doi.org/10.1093/chromsci/bmaf048
- Primary Topic
- Medicinal Plants and Neuroprotection
- Type
- article
- Field-Weighted Citation Impact
- 0.00