COSMO-RS guided screening of deep eutectic solvents and ultrasound-assisted extraction for resveratrol from Polygonum cuspidatum.

In this study, eighteen LCST-type temperature-responsive deep eutectic solvents (TRDESs) were developed for the ultrasound-assisted extraction of alkaloids from white pepper, using piperine (PIP) as the indicator. After optimization, the best conditions were identified as lidocaine/valeric acid (1:1) as the solvent, a solid‑to‑liquid ratio of 1:40mg/mL, 75°C, and 30min of ultrasound, achieving a PIP yield of 33.7502mg/g. By utilizing the temperature‑responsive behavior of TRDES, PIP was separated solely by adjusting temperature and water content, without additional reagents, resulting in a crude extract containing 122.3μg/mg of PIP. Subsequent analysis confirmed that the TRDES‑based ultrasound‑assisted extraction did not affect the antioxidant or anti‑diabetic (α‑glucosidase and α‑amylase inhibitory) activities of the extract. The TRDES system also showed good reusability, retaining over 85% of its initial extraction efficiency after five cycles. Density functional theory calculations revealed that ultrasound‑assisted extraction proceeds via hydrogen bonding between lidocaine/valeric acid and the five‑membered ring of PIP. With a high GAPI score of 82, this method offers a clearly greener and more sustainable alternative to conventional extraction techniques. This work integrates the novel green solvent TRDES with ultrasound‑assisted extraction, laying a key foundation for developing environmentally friendly processes in natural product preparation.

Tough and stretchable cellulose hydrogels engineered via the synergy of entanglements and cross-links.

SnRNA-seq reveals the ameliorative effects of optimized Xueyu Jingshen formula on high altitude cerebral edema by modulating energy metabolism, inflammation and BBB integrity.

Synthesis and demulsification performance of novel guaiacol linear triblock polyethers as demulsifier for crude oil emulsion with low water content

Contrast antibiotic activities from muddy and sandy coasts and their potential controls.

Heating-cooling bidirectional gelation mechanism for synergistic enhancement of performance in acylated ovalbumin/gellan gum double-network gel.

Cryoprotective effects of amylopectin nanoparticles in frozen dough: Mechanism and application in Youtiao production.

Mitigating greenhouse gas emissions in water-limited agroecosystems by novel integration of perennial grasses.

Hydrogel-based piezoelectric materials and devices for implantable bioelectronics.

Insights into how ionomer degradation affects oxygen transport resistance in catalyst layers.

Investigation on the unfrozen water content and freezing point models of saline soils

Solid-liquid transition behavior and shear strength degradation mechanisms of deep-sea sediments induced by water content variation and external disturbance

Green flocculant of Aspergillus niger fungus cultured from food waste hydrolysate for enhanced sludge dewatering.

Hydrocolloid mediated reconstruction and functionality of tapioca starch-yeast protein emulsion-filled gels: Toward β-carotene delivery and dysphagia-friendly foods of 3D printing.

This study integrates a data-driven model for estimating the unfrozen water content into the thermo-hydraulic coupled simulation of frozen soils. An artificial neural network (ANN) was employed to develop this data-driven model using a dataset from the literature. Thereafter, a numerical algorithm was developed to implement the data-driven model into the thermo-hydraulic simulation. In the numerical algorithm, the frozen and unfrozen zones are distinguished first according to the freezing temperature, where the unfrozen water at frozen nodes is updated using the ANN model. Subsequently, discretized hydraulic and thermal equations are solved sequentially and iteratively using the Newton-Raphson method. Horizontal and vertical freezing experiments are used to verify the reliability of the proposed algorithm. The computed variations in temperature, total water, unfrozen water, and ice content achieve good agreement with measured data. Some key features of frozen soils, such as water migration and ice formation, and the increase in total water content, are reproduced by the developed algorithm. Additionally, the comparison between the ANN model and existing empirical equations for determining unfrozen water content demonstrates that the ANN model offers better performance.

Efficient extraction of Cercis chinensis seeds polysaccharides by ultrasound-assisted deep eutectic solvent: Process optimization, identification, kinetics and bioactivity.

Precipitation on the spatiotemporal variations of soil volumetric water content at different depths in forested catchments

Novel green solvent-in situ ultrasound synergistic extraction of phenolic acids from Lonicera japonica thunb.

Ultrasound-assisted deep eutectic solvent extraction of ginseng folium polysaccharides: Extraction mechanism, process optimization, structural characterization, and in vitro biological activity.