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
Stabilization of the MAPK-Epigenetic Signaling Axis Underlies the Protective Effect of Thyme Oil Against Cadmium Stress in Root Meristem Cells of <i>Vicia faba</i>. [PDF]
Gocek-Szczurtek N +3 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
Stability, disperse and rheological properties of oil-in-water emulsions prepared using poloxamer 188-xanthan gum mixtures. [PDF]
Ćirin D +6 more
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
Compositional Effects on the Performance of High-Permeability Emulsified Asphalt for Prime Coat Applications. [PDF]
Qin Z +6 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
A review of yeast-derived emulsifiers developed through microbial fermentation for the food sector. [PDF]
Shokri 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
The Impact of Refined, Bleached, and Deodorized Palm Oil and Sunflower Lecithin on the Physicochemical Properties and Oxidative Stability of Egg-Free Mayonnaise. [PDF]
Yeoh SY +7 more
europepmc +1 more source

