Results 31 to 40 of about 598 (147)
Vitamin‐Responsive Disorders: From Molecular Basis to Clinical Presentation and Therapy
Journal of Inherited Metabolic Disease, Volume 49, Issue 4, July 2026.ABSTRACT Vitamin‐dependent cofactors are essential for numerous metabolic reactions, and defects affecting their uptake, conversion, utilisation, or regeneration constitute a heterogeneous group of inherited metabolic disorders (IMDs). Although dietary vitamin intake is sufficient to sustain coenzyme synthesis in healthy individuals, it is insufficient
Cécile Acquaviva +5 more
wiley +1 more source
Advanced Materials, Volume 38, Issue 34, 17 June 2026.Amorphous PdCuNiCoFe high‐entropy alloy nanobranches were developed through a versatile wet‐chemical synthetic strategy enabling simultaneous control of composition, phase, and morphology. The resulting amorphous PdCuNiCoFe nanobranches exhibit outstanding electrocatalytic performances for ethylene glycol oxidation (EGOR), delivering high selectivity ...
Biao Huang +11 more
wiley +1 more source
Ceria‐Based Catalysts for Sustainable Processing of Plastic Waste
Advanced Energy and Sustainability Research, Volume 7, Issue 6, June 2026.The properties of CeO2‐based catalysts for facilitating the chemical recycling of plastic waste. New chemical recycling processes for mitigating plastic pollution are being developed every day. Plastic depolymerization is typically conducted under high temperatures and pressures in pyrolysis, hydrogenolysis, ammonolysis, and glycolysis processes, which
Xinbang Wu, Paul J. Dyson
wiley +1 more source
Ligand Engineering of Colloidal Nanocrystals for Electrocatalysis
Advanced Energy and Sustainability Research, Volume 7, Issue 6, June 2026.Surface ligands guide the synthesis of colloidal nanocrystals and influence their working electrocatalytic interfaces. This review summarizes how ligand classes, surface binding and growth, structure regulation, and interfacial ligand states control facet exposure, local environments, and reaction pathways, thereby affecting activity, selectivity, and ...
Ge Yang, Xintong Xu, Qin Li, Dechao Chen
wiley +1 more source
Severe Restriction of Glucose Import Enhances Recombinant Protein Production in Escherichia coli
Biotechnology Journal, Volume 21, Issue 6, June 2026.Graphical Abstract and Lay Summary Producing recombinant proteins in Escherichia coli is often limited by the bacterium's tendency to consume glucose too rapidly. This excessive glucose uptake causes overflow metabolism, leading to the accumulation of acetate, a byproduct that can reduce cellular performance and protein production.
Juan Carlos Fragoso‐Jiménez +5 more
wiley +1 more source
ChemCatChem, Volume 18, Issue 11, 15 June 2026.This review explores the synthesis and catalytic applications of CuNPs/nanocarbon nanocomposites for CO2 hydrogenation to methanol and biomass upgrading, emphasizing support functionalization, deposition methods, and the role of nanocarbons in enhancing stability, selectivity, and sustainability.
Anh Ngoc Thai +3 more
wiley +1 more source
EcoEnergy, Volume 4, Issue 3, June 2026.This review provides a comprehensive overview of recent advances in glycerol electro‐oxidation reaction, covering electrocatalyst design, electrolyte and operating optimization, and mechanistic understanding of reaction pathways. Integrated anodic–cathodic systems and techno‐economic assessments are discussed, followed by key challenges and future ...
Jiamin Wang +3 more
wiley +1 more source
Global Change Biology Communications, Volume 1, Issue 2, June 2026.Conceptual framework linking leaf‐level photorespiratory biochemistry to global‐scale uncertainty in carbon cycle modelling. Rubisco acts as a temperature‐sensitive biochemical switch: At optimal temperatures (~25°C) carboxylation dominates and drives biomass accumulation, whereas heat stress (> 35°C) favours oxygenation and initiates photorespiration (
Rakesh Tiwari +2 more
wiley +1 more source
Machine Learning Assisted Prediction of Degradation Behavior of Poly(Lactic‐Co‐Glycolic Acid)
Materials Genome Engineering Advances, Volume 4, Issue 2, June 2026.Using a gradient boosting‐based machine learning model trained on 484 data points, this study predicts the degradation behavior of poly(lactic‐co‐glycolic acid) (PLGA) implants. Degradation time, molecular weight, and lactide/glycolide ratio were identified as key governing factors, enabling accurate prediction while reducing reliance on extensive ...
Shuai Wang +11 more
wiley +1 more source