Extraction of glucosinolates from Raphani semen using natural green deep eutectic solvents combined with ultrasound-assisted techniques: process optimization, component analysis, and antibacterial activity evaluation
In this study, developed an efficient and environmentally friendly method for selectively extracting glucosinolates (GLS) from Raphani semen ( R. semen ) by integrating ultrasound-assisted extraction (UAE) with natural deep eutectic solvents (NADES). The extraction efficiency of 19 different NADES for GLS in R . semen under ultrasonic conditions was investigated, and it was found that betaine-levulinic acid exhibited outstanding dissolution performance. The extraction process was optimized using response surface methodology (RSM). Under optimal conditions, the GLS yield reached 93.86 mg/g, outperforming traditional solvents. Meanwhile, nine GLS compounds were identified using UHPLC-Q-TOF MS, and the interaction of the most abundant GLS with the solvent was simulated using molecular dynamics (MD). The extract exhibited significant antibacterial activity against Staphylococcus aureus ( S . aureus ) and Escherichia coli ( E . coli ). Additionally, the combination of the extract with ampicillin sodium demonstrated excellent additive and synergistic effects against E . coli and S . aureus , respectively. More importantly, compared to antibiotics, the extract has a reduced tendency to develop resistance. Overall, this promising and low-cost extraction technology provides a new strategy for further exploration of potential novel antimicrobial agents or adjuvants to combat bacterial infections. • 19 Different green NADES used for extracting glucosinolates from R.semen. • Using RSM to optimize the main factors affecting NADES-UAE. • GLS yield was 93.86 mg/g under optimal extraction conditions. • GLS exhibit excellent antibacterial activity against S. aureus and E. coli. • The study explains the possible antibacterial mechanism.
Authors
- Meng‐Qi Yan
- Bing‐You Yang (ORCID: https://orcid.org/0000-0002-2310-2750)
- Zejun Liu (ORCID: https://orcid.org/0000-0001-5118-7205)
- Zhibin Wang (ORCID: https://orcid.org/0000-0002-7981-3666)
- Kang Yang (ORCID: https://orcid.org/0009-0007-4069-0543)
- Haixue Kuang (ORCID: https://orcid.org/0000-0003-2836-5768)
- Ruitong Du
- Sen Li
Institutions
- Heilongjiang University of Chinese Medicine (CN)
Publication Details
- Journal
- LWT
- Published
- 2025-04-19
- DOI
- https://doi.org/10.1016/j.lwt.2025.117814
- Citations
- 4
- Primary Topic
- Moringa oleifera research and applications
- Type
- article
- Field-Weighted Citation Impact
- 7.00