Efficient extraction and optimization procedures of polyphyllins from Paris polyphylla var chinensis by deep eutectic solvent coupled with ultrasonic-assisted extraction

Microchemical Journal, Год журнала: 2023, Номер 196, С. 109692 - 109692

Опубликована: Ноя. 22, 2023

Язык: Английский

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Characterization, antioxidant and antibacterial activity of neutral polysaccharides from oyster (Crassostrea rivularis)

LWT, Год журнала: 2024, Номер unknown, С. 116961 - 116961

Опубликована: Окт. 1, 2024

Язык: Английский

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Structural analysis and treatment of acute liver injury of polysaccharides from the Radix Actinidiae Chinensis

Frontiers in Pharmacology, Год журнала: 2025, Номер 16

Опубликована: Фев. 24, 2025

To investigate the therapeutic effects of PRAC on acute liver injury and its potential as an ingredient in drugs nutraceuticals. Microwave-assisted extraction technology combined with Box-Behnken model three kinds artificial neural networks was used to optimize process. Characterize structure composition PRAC. In order prevent from being degraded by gastrointestinal environment, PRAC-loaded liposomes were fabricated. The efficacy evaluated animal models prepared according different mechanisms. best yield 4.49%, purity reached up 86.53% optimizing microwave parameters using networks. characterized a galactan having backbone consisting predominately →4)-D-Galp-(1→ →4)-D-Glcp-(1→ molecular weight 12.713 kDa. liposome obtained had size about 340 nm polydispersity index 0.234. entrapment efficiency 70.12% drug loading 1.24%. Liposomes can be fully released environment within 12 h have long-term stability at 4°C. effect confirmed injury. is for treatment

Язык: Английский

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Epimedii Folium and Ligustri Lucidi Fructus synergistically delay renal aging through AMPK/ULK1/Bcl2L13-mediated mitophagy

Journal of Ethnopharmacology, Год журнала: 2025, Номер unknown, С. 119668 - 119668

Опубликована: Март 1, 2025

Язык: Английский

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Comparative Analysis of Three Extraction Methods for Ginger Leaf Polysaccharide: Chemical Composition, Antioxidant activity, and Hypolipidemic Effects

Journal of Applied Research on Medicinal and Aromatic Plants, Год журнала: 2025, Номер unknown, С. 100639 - 100639

Опубликована: Апрель 1, 2025

Язык: Английский

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Integrated multidimensional spectra and multilevel data optimization for rapid origin tracing and quality assessment of Salvia miltiorrhiza

Microchemical Journal, Год журнала: 2025, Номер unknown, С. 113755 - 113755

Опубликована: Апрель 1, 2025

Язык: Английский

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Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning

Food Chemistry, Год журнала: 2025, Номер 486, С. 144649 - 144649

Опубликована: Май 8, 2025

Язык: Английский

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Optimization of extraction process of Astragali radix-Paeoniae radix alba by comparing BBD-RSM and SA-BPNN and antioxidant activity

LWT, Год журнала: 2023, Номер 191, С. 115677 - 115677

Опубликована: Дек. 26, 2023

The Box-Behnken design-response surface methodology (BBD-RSM) and Back-propagation neural network prediction model optimized by Simulated annealing (SA-BPNN) were used to optimize the extraction process of Astragali radix-Paeoniae radix alba green natural deep eutectic solvent (NADES), antioxidant activity them was discussed. best NADES for extracting need be screened out. comprehensive evaluation value yield as index. BBD-RSM SA-BPNN established optimization. in vitro vivo studied detecting 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging rate ferric reducing power (FRAP) expression levels SOD, MDA GSH-Px rat plasma. results showed that formula Betaine-Urea (Bet-Ur). Compared with BBD-RSM, had a higher degree fitting, higher, error between tested predicted smaller, which more suitable alba. Through determination kits oxidative factors, vivo. study on optimization expected provide theoretical basis its effective utilization.

Язык: Английский

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Optimization and stability analysis of citric acid-assisted extraction of Lonicera caerulea pomace

LWT, Год журнала: 2024, Номер 207, С. 116646 - 116646

Опубликована: Авг. 16, 2024

This study employed both response surface methodology (RSM) and artificial neural network (ANN) to optimize the technological conditions for citric acid-assisted extraction of bioactive components from Lonicera caerulea pomace. We optimized contents polyphenols crude polysaccharides in extract based on volume, temperature, time. The ANN model exhibited superior predictability accuracy compared RSM model. Using acid solution with a pH 2 as agent, optimal were solid-to-liquid ratio 1:36, an temperature 63 °C, time 4 h. Scanning electron microscopy (SEM) showed that destroyed microstructure pomace, facilitating release bound substances. Furthermore, storage stability experiment demonstrated retention rates polyphenols, polysaccharides, anthocyanins, flavonoids, antioxidant capacity powdered pomace remained above 90% after weeks at °C dark. Anthocyanin, primary polyphenol caerulea, correlated significantly activity, confirmed by PCA results.

Язык: Английский

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Multi-objective optimization of a porous diverter plate for a liquid-cooled micro-jet heat sink via surrogate modeling

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 56, С. 104264 - 104264

Опубликована: Март 22, 2024

This work reports on the optimization of a porous diverter plate for micro-jet heat sink to obtain optimum jet nozzle diameter and flow opening ratio, which play significant role in cooling characteristics sinks electronic chips. An artificial neural network (ANN) model was used optimize predict sensitivity different parameters (coolant rate, diameter) operation design. It found that smaller ratios diameters range 2.0–3.2 mm had positive effect improving sink's thermal performance. Moreover, plate's ratio major pumping power, while lowest sensitivity. Finally, overall all designs were evaluated using PPTR parameter, results demonstrate with an 0.08 1.81 yielded design sink.

Язык: Английский

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