The Antidiabetic Potential of Alpha‐Mangostin: A Review of Preclinical and Clinical Evidence
Alpha‐mangostin is a compound from the pericarp of Garcinia mangostana. The antidiabetic effects of alpha‐mangostin include enhancing insulin secretion, improving glucose uptake through GLUT receptor upregulation, reducing oxidative stress and inflammation, promoting wound healing, reducing HbA1C, reducing HOMA‐IR index, and decreased mRNA expressions ...
Oliver Dean John +4 more
wiley +1 more source
Toxicity of emulsions, high and low energy nanoemulsions of orange essential oil and d-limonene to <i>Drosophila suzukii</i>, and selectivity to <i>Pachycrepoideus vindemmiae</i>. [PDF]
López CB +6 more
europepmc +1 more source
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
Effects of Different Polysorbates (Tween) on Recombined Whipped Cream: Interfacial Properties, Stability, and Aeration Properties. [PDF]
Zuo Y, Yan G, Wang Y, Li Y.
europepmc +1 more source
Membrane‐aided simultaneous reaction–separation for liquid phase products
Abstract Conventionally, reaction and separation are conducted as separate steps in liquid‐phase manufacturing, with products formed during reaction and subsequently separated from unreacted reagents, solvents, and byproducts. Integrating these steps into a simultaneous reaction–separation process can improve efficiency and reduce costs.
Yihan Song +4 more
wiley +1 more source
Formulation of Personalized, Fortified Beverage Nanoemulsions for Space Exploration with Omega‑3 Polyunsaturated Fatty Acids. [PDF]
Schmidt S +4 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Lignin-Acrylic Acid Copolymer as an Effective Emulsifier for Oil-Water Emulsion. [PDF]
Fatehi S +3 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Yeast Protein Extract Emulsions Supplemented with Polyphenolic Compounds: Physical, Chemical and Stability Properties of Colorful Emulsions. [PDF]
Almeida B +7 more
europepmc +1 more source

