pH-driven Zein-peanut protein isolate composite nanoparticles for stabilizing pickering emulsions and enhancing resveratrol delivery.

In this study, zein-peanut isolate protein (PPI) composite nanoparticles were fabricated by pH-driven self-assembly method and their potential applications in Pickering emulsion stabilization and resveratrol encapsulation were systematically explored. The results showed that the particle size, zeta potential, and dispersibility were significantly affected by the Zein:PPI mass ratio. Among them, the composite particles with a mass ratio of Zein:PPI of 1:2 showed the best performance, with an average particle size of approximately 389 nm, a low PDI value (0.

Radial-Hierarchical Chromatomimetic E-Nose for Spatiotemporal VOC Diffusion Mapping.

This study introduces a radial-hierarchical, diffusion-enhanced spatiotemporal sensing paradigm for volatile organic compound (VOC) analysis via an integrated microchamber paper-based chromatomimetic e-nose. The proposed system synergizes interlayer spatiotemporal dynamics with planar spatial variance by employing a radially symmetric electrode array and a hierarchical porous chemoresistive ink (CuP@G). This design leverages molecular diffusion gradients across the sensing plane, enabling precise discrimination of complex VOC mixtures through multidimensional "spatiotemporal fingerprints".

Study on the effect of light distribution on the greenhouse environment in Chinese solar greenhouse.

Solar greenhouse is a primary agricultural facility in northern China during winter, providing a certain level of security for the demand for vegetables and melons in the northern regions. However, there remains a lack of uniformity between crop requirements and the light and thermal environment within the planting area of the greenhouse, resulting in non-uniform growth and development of crops. The present study set out with the objective of investigating the impact of the light environment on the internal conditions of a solar greenhouse.

Development of Bio-Based Active Film by the Functional Modification of Pig Collagen and Incorporated With Gallic Acid.

This study investigated the synergistic effects of enzymatic hydrolysis and glycosylation on pig collagen (PC) films and the further enhancement of these films by the incorporation of gallic acid (GA). The aim of the study was to develop bio-based active films with improved functional properties for potential food packaging applications, particularly in preserving pork. The glucose hydrolyze PC (HG-PC) complex film and the GA composites (GA-HG-PC) film were prepared, and their structural, mechanical, water sensitivity, and color properties were thoroughly evaluated.

[Retracted] Twist induces epithelial‑mesenchymal transition in cervical carcinogenesis by regulating the TGF‑β/Smad3 signaling pathway.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that, for the Transwell migration and invasion assay experiments shown in Fig. 3C and D on p. 1791, two pairs of the data panels appeared to be overlapping, suggesting that the same data may have been used in this figure to represent data that were intended to show the results from differently performed experiments.

A Study of the Soil-Wall-Indoor Air Thermal Environment in a Solar Greenhouse.

Greenhouses offer optimal environments for crop cultivation during the winter months. The rationale for this study was identified as the synergistic exchange of air between the soil, the wall, and the indoor environment within the greenhouse (referring to the coupling law of the temperature fields of the three elements in space and time, including the direction of heat transfer and the consistency of the temperature zoning), thereby maintaining a more optimal temperature. However, there is a paucity of research on the impact of different spans on the thermal environment in solar greenhouses and even fewer studies on the synergistic law of changes in soil-wall indoor air in solar greenhouses with different spans.

Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

Objective: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.

Study Design And Methods: We conducted a systematic review, searching the PubMed databases between 01/01/2018 and 01/08/2022, for studies that developed fetal weight prediction models using ML. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement to assess the reporting quality of included publications and the Prediction Model Risk of Bias Assessment Tool (PROBAST) to assess the risk of bias.

Effects of replacing sucrose and blending extrusion modified flours on the eating quality of highland barley sugar-crisp cookies.

Highland barley (HB) sugar-crisp cookies were prepared by blending three types of extruded modified HB flours (EHBF) at varying ratios (5/10/15 %) after formula optimization on sucrose replacing (SR). The effects of SR and EHBF blending on the quality of whole HB products were evaluated. The results showed that isomaltulose could not only decrease glucose content during in vitro digestion, improve texture properties, but also effectively mask the eggy smell of cookies.

Analysis of serological risk factors for preeclampsia and the predictive role of high homocysteine levels.

Objectives: To investigate the serological risk factors for preeclampsia, focusing on homocysteine level and its predictive role in the condition.

Methods: A retrospective analysis was conducted on 242 pregnant women (121 preeclampsia cases and 121 healthy controls) admitted from January 2022 to June 2023. Serological markers, including homocysteine, fasting blood glucose (FBG), triglycerides (TG), and inflammatory indicators, were compared between the two groups.

A threefold interpenetrated three-dimensional cobalt(II) coordination polymer with highly sensitive sensing for nitrofurazone in aqueous medium.

A novel Co-based coordination polymer, poly[[μ-4,4'-bis(2-methyl-1H-imidazol-1-yl)-1,1'-biphenyl-κN:N](μ-5-nitrobenzene-1,3-dicarboxylato-κO:O)cobalt(II)], [Co(CHNO)(CHN)] or [Co(NO-BDC)(4,4'-BMIBP)], (I), was synthesized successfully via a hydrothermal reaction. The synthesis employed 5-nitrobenzene-1,3-dicarboxylic acid (NO-HBDC) as the organic linker, 4,4'-bis(2-methyl-1H-imidazol-1-yl)-1,1'-biphenyl (4,4'-BMIBP) as the N-donor auxiliary ligand and cobalt(II) nitrate hexahydrate as the metal source. Structural characterization revealed that (I) crystallizes in a unique three-dimensional framework featuring a threefold parallel interwoven dmp network topology.

Restoring glucose metabolism in Alzheimer's disease by targeting integrated stress response.

Cerebral glucose hypometabolism has been consistently associated with Alzheimer's disease (AD). With extensive efforts to eliminate AD pathologies, including the removal of amyloid-β ​(Aβ) plaques and hyperphosphorylated Tau, strategies aimed at restoring glucose metabolism in the brain regions most affected by AD are believed to have significant clinical implications. In this study, we demonstrated that glucose hypometabolism preceded neuronal death in triple-transgenic AD (3xTg-AD) mice, likely attributable to reduced expression of glucose transporter type 1 (GLUT1) or glucose transporter type 3 (GLUT3).

Enzymatic characteristics and catalytic mechanisms of opine dehydrogenases from jumbo squid (Dosidicus gigas) for acidic opine formation.

The unpleasant sour off-flavors for Dosidicus gigas greatly affects its flavor and edible value, which is provably attributed to the formation of opines as the characteristic sour compounds. Opine dehydrogenases (OpDHs) play a crucial role in opine formation. Therefore, this study aims to investigate the enzymatic properties of OpDHs and further clarify the catalytic mechanisms of OpDHs mainly including meso-alanopine dehydrogenase (meso-ADH), β-alanopine dehydrogenase (β-ADH), and strobmine dehydrogenase (SDH) for the formation of corresponding opines.

Corrigendum to 'regulation of corn starch on the properties of tremella polysaccharide-egg white protein-orange juice composite gel and its application in 3D printing' [food chemistry: X 27 (2025) 102382].

[This corrects the article DOI: 10.1016/j.fochx.

Bacterial membrane-anchored lipopeptide/MXene nanoplatform for tri-modal therapy toward bacteria-infected diabetic wound.

Diabetic wound healing is extremely difficult, originating from the aspects of bacterial infection, continuous inflammation, hypoxia and excessive reactive oxygen species (ROS), etc. Consequently, multifunctional nanoplatforms capable of highly eliminating bacteria, scavenging ROS and promoting angiogenesis possess a promising prospect. This work reports our fabrication of lipopeptide/TiCT MXene nanohybrid to cure bacteria-infected diabetic wounds.

F-Fluorodeoxyglucose positron emission tomography/computed tomography in distinguishing pediatric clear cell sarcoma of the kidney from Wilms' tumor.

Background: Clear cell sarcoma of the kidney is a rare primary renal malignancy in children and its differentiation from other renal tumors, particularly Wilms' tumor, poses significant diagnostic challenges. Notably, clear cell sarcoma of the kidney is associated with a poorer prognosis than Wilms' tumor, making the preoperative presumptive diagnosis critical for optimizing surgical resection and appropriate chemotherapy regimens.

Objective: We conducted a feasibility study to evaluate the diagnostic utility of F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) in distinguishing clear cell sarcoma of the kidney from Wilms' tumor.

Spatiotemporal E-Nose with Laser Tailoring and Chromatography Inspiration.

The study introduces a spatiotemporal chromatography-mimicking (SCM) e-nose that integrates laser-tailored graphene paper with a microchamber for precise volatile organic compound (VOC) discrimination. The SCM e-nose overcomes traditional array limitations with a single multifunctional component capable of accurate VOC differentiation via chromatography-mimic features. Advanced laser-engraving techniques fabricate a gas-permeable interdigitated electrode from graphene paper as the sieving framework.

Towards an optimal diagnostic and prognostic model based on semi-quantitative assessment of F-FDG PET in children with autoimmune encephalitis.

Purpose: The metabolic pattern in autoimmune encephalitis (AE) has been frequently reported. Through this semi-quantitative analysis, we aim to explore a practical diagnostic model based on positron emission tomography (PET) for timely diagnosis of pediatric AE with high accuracy. Moreover, we aim to identify factors that affect the prognosis of pediatric AE and explore the utility of PET as a prognostic biomarker.

Regulation of corn starch on the properties of tremella polysaccharide-egg white protein-orange juice composite gel and its application in 3D printing.

The purpose of this paper was to explore the regulation of corn starch (CS) on tremella fuciformis polysaccharide-egg white protein-orange juice (TFP-EWP-OJ) composite gel to develop a new 3D printing material. The results showed that the cylinder of TFP-EWP-OJ composite gel with 0.12 g/mL CS added had the best 3D printing structure and highest printing accuracy.

Advancements in DNAzyme-based biosensors for the detection of hazardous substances in foodstuff: current applications and future perspectives.

DNAzyme-based biosensors have emerged as a promising tool for ensuring food safety due to their high sensitivity, specificity, and potential for rapid, cost-effective detection of hazardous substances. These biosensors leverage DNAzymes-catalytically active DNA molecules-to detect a range of contaminants, including metal ions, fungal toxins, pesticides, and pathogens. While DNAzyme-based biosensors show significant advantages over conventional techniques, challenges such as nuclease degradation, interference from complex sample matrices, and the high costs associated with DNAzyme synthesis still hinder their widespread application.

Insight into the interaction between starch and guest molecules for quality improvement of buckwheat wantuo through extrusion and blending.

As a "clean labelled" food additive, extruded Tartary buckwheat flour (ETBF) was used to enhance the eating quality of functional coarse cereal foods. However, it is unclear whether it can enhance the quality of the traditional Chinese starchy food buckwheat wantuo (BWT). This study investigated how blending ETBF at different ratios (5 %, 10 %, and 15 %) affected the physicochemical properties of Tartary buckwheat flour (TBF) and BWT quality.

NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors.

Gas sensor arrays designed for pattern recognition face persistent challenges in achieving high sensitivity and selectivity for multiple volatile organic compounds (VOCs), particularly under varying environmental conditions. To address these limitations, we developed multimodal intelligent MEMS gas sensors by precisely tailoring the nanocomposite ratio of NiO and ZnO components. These sensors demonstrate enhanced responses to ethylene glycol (EG) and limonene (LM) at different operating temperatures, demonstrating material-specific selectivity.

Characterization of quercetin-ovalbumin complexes stabilizing emulsions: A perspective on the complex binding mechanism.

Ovalbumin (OVA) is widely used in the food industry for its extremely rich nutritional value and special functional properties. Quercetin (Q) is a polyphenol with antioxidant and antibacterial properties. However, due to poor water solubility, the bioavailability of Q is greatly reduced.

Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model.

Background: Accurate third-trimester birth weight prediction is vital for reducing adverse outcomes, and machine learning (ML) offers superior precision over traditional ultrasound methods.

Objective: This study aims to develop an ML model on the basis of clinical big data for accurate prediction of birth weight in the third trimester of pregnancy, which can help reduce adverse maternal and fetal outcomes.

Methods: From January 1, 2018 to December 31, 2019, a retrospective cohort study involving 16,655 singleton live births without congenital anomalies (>28 weeks of gestation) was conducted in a tertiary first-class hospital in Shanghai.