Huangshan University

A major challenge faced by conventional Ni-based catalysts in dry reforming of methane (DRM) is rapid performance degradation, which is primarily caused by metal sintering and coking under harsh operating conditions. To address this issue, this study reports a facile ammonium citrate (AC)-assisted impregnation strategy for the synthesis of Ni/SBA-15 catalysts. The hydrogen-bonding network formed between AC molecules and silanol groups on the SBA-15 support enables precise anchoring of highly dispersed Ni nanoparticles (average size: 3.65 nm) both within the mesoporous channels and on the external surface of SBA-15. This strong anchoring effect significantly enhances the metal–support interaction via electronic coupling and interfacial stabilization, thereby effectively suppressing the Ni sintering. Additionally, the AC treatment introduces surface basicity to the catalyst by generating carbonate species on the surface, which optimizes CO2 adsorption and activation capabilities. Benefiting from the synergistic effects of these structural advantages, the AC-assisted 6Ni0.5/SBA-15 catalyst exhibits remarkably enhanced DRM catalytic performance compared to the conventionally impregnated 6NiIMP/SBA-15 catalyst. It maintains stable CO2 and CH4 conversion even under harsh reaction conditions. Systematic characterization results further confirm the AC-modified catalyst possesses superior resistance to both metal sintering and coking. Overall, this work establishes a facile yet effective approach for the design of high-performance Ni-based DRM catalysts, which relies on the rational regulation of precursor–support interactions during the synthesis process.

ABSTRACT This paper examines the key drivers of green innovation and its subsequent influence on environmental sustainability performance, considering the moderating effects of the green information system and technological intensity. To validate the proposed research model, ISO 14001 manufacturing enterprises were invited to participate in a questionnaire. Following the receipt of 314 responses, the first‐hand data underwent analysis through structural equation modeling employing the SmartPLS software. The findings revealed that green supplier integration and green digital learning orientation are critical variables driving green innovation, while green information system functions as a moderator of the link between green digital learning orientation and green innovation. Furthermore, green innovation exhibits a positive relationship with environmental sustainability performance, and technological intensity serves as a significant moderator that amplifies this relationship. Manufacturing companies can benefit from this study by learning the key elements influencing green innovation and, subsequently, environmental sustainability performance. Green digital learning is positively related to innovation, and the correlation is stronger when a green information system is present. Green innovation also deserves considerable attention, as it largely affects environmental sustainability performance, especially when technological intensity is higher, highlighting its importance in driving sustainable outcomes.

[This corrects the article DOI: 10.3389/fpsyg.2025.1578793.].

This study uses a mixed-methods approach to investigate how sustainable-diet applications translate value perceptions into user behavior. Grounded in value-driven behavior theory, it identifies five motivational value antecedents—honor, hedonic, knowledge, utilitarian, and relationship—and four perceptual mediators: perceived usefulness, enjoyment, interactivity, and belonging. A mediation-based structural model was tested using 367 valid questionnaires through Partial Least Squares Structural Equation Modeling (PLS-SEM) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA). Results show that hedonic, knowledge, utilitarian, and relationship constitute dominant value drivers, and all four perceptual variables significantly mediate the value–behavior linkages. fsQCA further reveals three effective configurations for achieving sustainable dietary behavior, with perceived belonging emerging as a necessary condition across all configurations. The findings highlight the specific value dimensions and perceptual design attributes that sustainable-diet applications should prioritize to facilitate the digital translation of sustainable dietary practices.

The rapid expansion of electric‑vehicle adoption in China has intensified concerns about end‑of‑life management of power batteries. Despite increasing apprehensions about economic, social, and environmental sustainability 2021-2035, there has been a noticeable surge in scholarly interest directed towards formal power battery recycling. Although psychological drivers are key to participation through the lens of behavioral reasoning theory, the role of place attachment remains underexplored, particularly in collectivist cultures. Bridging this research lacuna, the current study offers an in-depth and holistic investigation of how the multidimensional facets of place attachment influence residents' economic, social, and environmental attitudes and how attitudes affect their intention towards formal recycling. A questionnaire survey was administered to 427 permanent residents of Hefei, a pilot city for electric vehicle and battery recycling initiatives. Data were analyzed using Partial Least Squares Structural Equation Modeling to test the hypothesized pathways linking place attachment dimensions to sustainable attitudes and recycling intentions. The findings reveal that nature bonding is the strongest predictor across all three attitudes, economic attitude exerts the most powerful direct effect on recycling intention, and the combined sustainable attitudes explain 44.9 % of the formal recycling intention. These results demonstrate that stronger emotional and cognitive ties to one's locality significantly enhance pro‑recycling attitudes, whereas attitudes affect the willingness to participate in formal power battery recycling channels. Effective power battery recycling campaigns in collectivist contexts should therefore move beyond generic appeals and leverage residents' specific attachments to their community's nature, economy, and social fabric. This study contributes to environmental psychology by integrating place‑attachment constructs into a reasoning‑based model of sustainable behavior, and offers actionable insights for municipal authorities, recycling firms, and community groups seeking to improve formal recycling rates and advance circular‑economy objectives in rapidly urbanizing regions.

Glioma remains one of the most aggressive brain tumors, necessitating innovative therapeutic strategies. Quercetin (Que), a natural polyphenolic flavonoid, has shown potential in cancer treatment. It can form iron-based nanodots (Que-Fe) that exhibit peroxidase (POD)-mimicking activity. This study aimed to synthesize and characterize Que-Fe nanodots, evaluate their photothermal conversion capabilities, and assess their anti-tumor efficacy both in vitro and in vivo. Que-Fe was synthesized through the coordination of Que with iron ions, yielding nanodots approximately 10 nm in diameter, confirmed by transmission electron microscopy and dynamic light scattering (DLS). The nanodots demonstrated significant POD-like activity in the presence of hydrogen peroxide. Photothermal experiments revealed that Que-Fe effectively converted near-infrared light into heat, achieving temperatures above 62 °C, indicating its potential as a photothermal agent. In vitro studies showed that Que-Fe exhibited concentration-dependent cytotoxicity against C6 glioma cells, with enhanced effects when combined with NIR irradiation. Transcriptomic analysis revealed that Que-Fe treatment upregulated genes associated with ferroptosis and oxidative stress, suggesting a multifaceted mechanism of action. In vivo experiments using a BALB/c nude mouse model demonstrated that Que-Fe, particularly in combination with NIR, significantly inhibited tumor growth and induced apoptosis without notable toxicity. Overall, these findings suggest that Que-Fe is a promising candidate for glioma therapy, leveraging its photothermal properties and inducing ferroptosis to enhance anti-tumor efficacy.

Chronic and acute pancreatitis (CP and AP, respectively) are debilitating conditions with significant morbidity and mortality, necessitating a comprehensive understanding of their underlying mechanisms. This study provides a high-resolution, multi-omics investigation into the genetic and immune cell underpinnings of pancreatitis, integrating rare familial CP with a large cohort of patients with AP. Utilizing an integrative approach that combined whole-exome sequencing (WES) from two pediatric CP patients and their family members with single-cell RNA sequencing (scRNA-seq) and bulk transcriptomics from a public AP cohort (n = 119), we identified a shared molecular and cellular pathology. WES of the CP family revealed heterozygous mutations in 12 novel genes, including EXOC4, ATG2A, and UNC80. Functional enrichment analysis highlighted autophagy, cell adhesion, and vesicle-mediated transport as the key biological processes implicated in the pathophysiology of both conditions. Single-cell profiling of peripheral blood mononuclear cells (PBMCs) from the CP family revealed a marked increase in the proportion of naive B cells and an altered activity of CD8+ T cells, suggesting a dysregulated B-cell-mediated immune response. This observation was corroborated in the AP cohort, where CIBERSORT analysis revealed a significant increase in both naive B cells and CD8+ T cells correlating with the disease severity. Weighted gene co-expression network analysis (WGCNA) on the AP cohort uncovered 14 gene modules associated with disease progression. These modules were significantly enriched for pathways central to the innate immune response, including complement-dependent cytotoxicity and neutrophil degranulation, providing a molecular link to the observed immune cell infiltration. An artificial intelligence (AI)-driven model incorporating 110 CP family-related genes (GTCPFs) demonstrated exceptional predictive capability (average AUC > 0.84) for AP severity, highlighting the translational potential of our findings. The model identified a robust signature of 17 genes, including ATG2A, EXOC4, and TNS1, which may serve as novel diagnostic and prognostic biomarkers. Our findings provide a unified view of the pathogenesis of pancreatitis, linking novel genetic variants to specific immune cell and transcriptomic signatures. This integrative approach underscores the critical importance of both genetic and immune factors in CP and AP, identifying potential biomarkers and therapeutic targets and paving the way for personalized medicine in the management of these challenging conditions.