ArticleUltrasonics sonochemistry2025
Optimization of ultrasonic extraction and kinetic modeling of jieduquyuziyin prescription polysaccharides via explainable machine learning.
Article in Ultrasonics sonochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Review
- Ultrasound-assisted deep eutectic solvent extraction of polysaccharides from Melastoma dodecandrum: RSM optimization, ANN prediction, kinetics, structural characterization and cellular antioxidant activity.Ultrasonics sonochemistry · 2026Article
- Impact of ultrasound-assisted enzymatic extraction on the structural and functional properties of Tremella fuciformis polysaccharide and its application in almond-based milk.Ultrasonics sonochemistry · 2026Article
- Support vector Regression-Optimized Ultrasonic-Assisted alkaline extraction of Chroogomphus rutilus Polysaccharides: Enhanced yield and preservation of helical conformations.Ultrasonics sonochemistry · 2026Article
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9 authors.
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Abstract
Plant polysaccharides, due to their unique pharmacological activities, are highly promising candidates in drug development. However, different extraction methods and processes have significant effects on the structure, yield, and pharmacological activity of plant polysaccharides. In this study, taking Jieduquyuziyin prescription polysaccharides (JPP) as an example, we optimized its ultrasonic-assisted extraction process using response surface methodology and two explainable machine learning (ML) models (random forest and artificial neural networks). In addition, the extraction kinetic equation of JPP was established, and by comparing it with the prediction results of the two ML models, it was ultimately confirmed that the JPP extraction conditions and kinetic model predicted by the RF model were optimal. Structural analysis results showed that JPP had a rough surface and porous internal structure, and contains various monosaccharides such as glucose (65.25 mol%) and galactose (28.59 mol%). Finally, preliminary experiments confirmed that JPP exhibits in vitro antioxidant activity. This provides a certain foundation for the large-scale development and application of JPP.
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