A comprehensive review of advances in analytical chromatography for the characterization of therapeutic biomacromolecule and bioparticle.

Starch gelatinization and aging play critical roles in the processing of starch-based food products, which are responsible for quality changes and freshness retention during storage. The addition of amphiphilic lipid into starch to form a starch-lipid complex is a promising method to enhance the storage stability of starch gels. Glyceryl monostearate (GMS) and glyceryl monooleate (GMO) are widely used as emulsifiers in the food industry. From the point of structural difference, the lipid chain of GMO is more rigid than GMS because of the restricted rotation around its cis CC bond, which hinders the effective inclusion of GMO into the hydrophobic helical cavities of amylose. Their effects on the gelatinization, rheology, and aging properties of Japonica rice starch (JS) under different storage conditions were studied in this research. The pasting profiles by Rapid Visco Analyzer demonstrated that GMS significantly retarded the gelatinization process and increased the final viscosity of JS in a dose-dependent manner (0.25-1.00%), while GMO decreased the final viscosity of JS. Rheological analysis supported that JS-GMS and JS-GMO complex samples all exhibited predominantly elastic-like characteristics with gel-like and solid-like properties. Both GMS and GMO had dose-dependent effects on the changes in storage modulus (G') and loss modulus (G″) at the same angle frequency. The hardness and elasticity of JS gel was reduced by GMS and GMO addition in amounts from 0.25% to 1.00% during storage at 4 and -18 °C, respectively. Compared with gelatinized JS, orderless type I complex formed in JS-GMS complex systems, while semi-crystalline type II complex formed in JS-GMO complex systems. GMS and GMO exhibited distinct effects on gelatinization and rheological properties of JS gel, as reflected by pasting profiles and dynamic viscoelasticity. Both GMS and GMO (0.25-1.00%) decreased the hardness and elasticity of JS-lipid gels in a dose-dependent manner during storage at 4 °C, with GMS displaying a more pronounced effect than GMO. The difference in the multiscale structure between the JS-GMS and JS-GMO complexes was presumably due to their differing complexation behaviors. This study provides novel insights into the modulation of textural and stability properties in rice starch-based gel food through selected lipid incorporation. © 2026 Society of Chemical Industry.

Space–time regression and interpolation of metocean measurements: A focus on satellite data for the offshore energy sector

Collective dynamical behaviors of coupled Langevin oscillators with damping fluctuation in attractive–repulsive weighted random networks

Determination of dissociation constants between single-protein and multicomponents by a multi-chamber membrane separation electrophoresis system as a complementary tool.

Surface hydrologic connectivity in complex water systems: insights from an automated delineation framework

Derivation of safety threshold for soil organic chemicals based on source-transport-fate dynamics in the soil-groundwater system: A case study of soil 1,2,3-trichloropropane in the Yangtze River Delta region, China.

Trajectories of foreign language writing enjoyment in AI-mediated EFL contexts: A latent growth curve modeling study from a complex dynamic systems perspective.

Binding of Sb(V) to organic-mineral complexes: Implications for Sb mobility and fate in soils.

Molecular visualization plays a central role in structural biology, transforming data into representations that reveal how molecular form relates to function. Since the construction of the first protein models in the 1950s, visualization practices have evolved in tandem with experimental and computational advances, shaping both research and communication. Today's scientists rely on an expanding suite of digital tools to interpret structural, biophysical, and imaging data, while public repositories facilitate dissemination and education. Yet, as experimental methods capture ever more complex and dynamic molecular systems, the limitations of static visualizations have become apparent. Recent progress in animation, integrative modeling, and artificial intelligence offers new possibilities for representing molecular complexity and motion. This review traces the evolution of molecular visualization from physical models to dynamic, data-integrated animations and explores how emerging technologies promise to make visualization not only a medium of communication but also a tool for scientific exploration.

Tales of the tides: Pattern-based non-target analysis of the Elbe River.

Structural and techno-functional modifications of pea protein fractions by non-thermal technologies.

Artificial neural network for bioconvective Williamson nanofluid flow through a horizontal microchannel with waste discharge concentration

Complex biological systems analysis and deep learning for prognostic prediction of esophageal squamous cell carcinoma.

Raman spectroscopy as the quantum eye to reveal molecular dynamics in biology.

Development of food protein amyloid fibrils co-formulated with polysaccharides, polyphenols, and proteins: A review.

A molecular and cellular understanding of PFDA-exposure-associated outcomes on biological assemblies.

Topology as Biological Code: Information-Driven Evolution of Neighborhood Structures in Self-Organizing Cellular Systems.

Metabolic Control of Immunity and Inflammation: Mitochondrial Dynamics, Pharmacological Targets, and Therapeutic Opportunities.

The reduced availability of materials, staff, and health infrastructure commonly seen in Low- and Middle-Income Country (LMIC) settings is known to directly limit the ability of a hospital to provide effective care to critically ill patients. We use Health Facility Assessments (HFAs), 'hospital journeys', and in-depth interviews across five secondary and tertiary referral-level government hospitals in Kenya to explore their readiness to provide Essential Emergency and Critical Care (EECC). Our HFA reveals weaknesses in the provision of appropriate human resources but finds that respondents believe that the materials necessary to provide care for critically ill patients are generally to be found somewhere in the facilities at the time of assessment. Hence, the results of the HFA suggest sufficient resources are available for the provision of EECC. Our interviews and patient journey analyses make it clear however, that there is an absence of systems that would allow adequate materials to be present as and when patients need them. We use a novel patient journeys method to explore how these shortages at the point of care impact treatment of critically ill patients and in so doing, show that Kenyan hospitals need systems not only for managing these important commodities, but for deploying them in a way that allows their use to become sustained and normalised. It is self-evidentiary that a lack of resources leads to poor patient care, but the reverse is not necessarily true. This matters because the assumption that LMIC hospitals are able to usefully deploy resources and training drives many global health interventions but the failed emergence of effective complex systems to manage these resources in hospitals has received relatively little focus. Short-term global health projects consisting of materials and training can result in systems that resist positive change that we describe as a being in a state of 'arrested development'. Efforts to improve critical care are fundamentally limited by hospitals in this state and this must be recognised and addressed if improvements are to be sustained.