Cobalt-manganese bimetallic oxides exhibit enhanced catalytic activity on activating peroxymonosulfate (PMS) over traditional catalysts featuring a single active site. In this work, two-dimensional (2D) spineltype MnCo2O4 hexagonal nanosheets (HNSs) are prepared as an effective PMS activation catalyst toward the degradation of tetracycline hydrochloride (TC). The MnCo2O4 HNSs demonstrate superior catalytic activity in activating PMS to degrade TC (97.0 % within 315 s), which is much higher than that of MnCo2O4 nanobulks (NBs) (75.6 %). And the reaction kinetic of MnCo2O4 HNSs is approximately 2.5 times faster than that of the MnCo2O4 NBs. By analyzing quenching and EPR tests, it suggests that ' O2-, SO4-', ' OH and 1 O2 radicals all together contribute to the TC removal in MnCo2O4 HNSs/PMS system, particularly SO4-'and 'O2-play critical roles during the process of TC degradation reaction. This can be attributed to the synergy of Co-Mn catalysis and their specific hexagonal nanosheets structure. Besides, the MnCo2O4 HNSs also exhibit high stability for degrading TC, indicating the high-potential applications in environment. This study proposes a new insight to develop catalysts in the combination of Co-Mn synergy and 2D nanosheet structure regulation towards high-efficient antibiotics wastewater treatment. (c) 2026 Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences.
Ozone treatment is widely regarded as an effective postharvest preservation strategy; however, its underlying metabolic regulatory mechanisms in Hami melon (Cucumis melo L.) remain unclear. In this study, integrative metabolomics combined with weighted gene co-expression network analysis (WGCNA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment was employed to investigate ozone-induced metabolic reprogramming during postharvest storage. Differential metabolites were identified using combined multivariate and univariate statistical analyses, including partial least squares discriminant analysis (PLS-DA) and volcano plot analysis, and then integrated with WGCNA-derived hub metabolites to obtain key intersection metabolites. The results showed that ozone treatment significantly reshaped metabolic profiles, with key metabolites mainly associated with carbohydrate metabolism, amino acid metabolism, and transport-related processes, and broadly distributed across multiple co-expression modules, indicating strong network-level metabolic coordination. KEGG pathway enrichment analysis of the intersection metabolites revealed enrichment in carbohydrate metabolism, amino acid metabolism, and ABC transporter-related processes, suggesting coordinated regulation of primary metabolism and transport systems under ozone treatment. Integration of metabolite profiling and network analysis demonstrated that ozone induces a network-coupled metabolic system that integrates carbon and nitrogen metabolism into a unified regulatory architecture rather than acting through isolated pathway responses. Overall, this study reveals a systems-level metabolic response to ozone treatment in Hami melon. Coordinated metabolic reprogramming was associated with enhanced antioxidant capacity and physiological stability, leading to delayed senescence and prolonged postharvest shelf life.
Numerous chemical and biological events involving stimuli-responsive polymers are present across various fields. The development of sensitive methods based on these polymers is essential for gaining insight into these events. Herein, we develop a capillary-assisted percolation (CAP) sensor with time readout for the first time. When a capillary filled with polymer solution is in contact with a microporous membrane, the gradual accumulation of polymer on the membrane causes partial blockage of the membrane pores, hindering the percolation of the solution in the membrane. This leads to the increased flow time of the polymer solution in the capillary, thereby achieving the differentiation of polymer solutions with various concentrations or molecular weights. This method enables the monitoring of polymer hydrolysis and polymerization processes. In addition, quantitative detection of HAase with a limit of detection (LOD) of 0.02 U/mL and glucose with an LOD of 0.1 mmol/L can be achieved through the enzymatic hydrolysis of hyaluronic acid by HAase and the polymerization of acrylamide triggered by a glucose-induced glucose oxidase-horseradish peroxidase cascade catalytic system, showing excellent performance in real applications. Furthermore, this sensor does not require specialized instruments or labeled molecules, and uses only 8 μL of samples to yield results. Overall, this simple, cost-effective, user-friendly, equipment-free, and sensitive method opens up a new avenue to monitor chemical and biological events, showing significant potential in various applications.
At present, low-dimensional chaotic systems have deficiencies such as insufficient randomness, limited key space, and uneven sequence distribution, which make the security performance and anti-attack ability of the color image encryption algorithms constructed based on them insufficient and easy to be cracked, thus restricting the application of chaotic theory in the field of image encryption. In response to the above issues, this paper first constructs a three-dimensional dynamical system and proposes a three-dimensional logarithmic-exponential type trigonometrically (sin, cos) coupled chaotic dynamical system (3D-LECCS), this 3D-LECCS is explicitly defined as a globally bounded volume-expanding hyperchaotic system. Meanwhile, through bifurcation diagrams, Lyapunov exponents, sample entropy, permutation entropy, 0–1 chaotic state determination, NIST, and multistability analysis, the hyperchaotic characteristics and complex phase space motion behavior of 3D-LECCS are verified. Secondly, by leveraging the cryptographic properties of this system, a dynamic mapping cascaded encoding encryption mechanism for color images driven by 3D-LECCS (LECCS-CIEA) is designed. This scheme builds a strong nonlinear coupling correlation among the RGB three channels of color images through dynamic spatial partitioning cross-channel remapping and encoding cascaded XOR diffusion strategy. Finally, through theoretical analysis and simulation experiments, it is verified that LECCS-CIEA has good security and anti-attack ability. At the same time, the excellent chaotic performance of 3D-LECCS is also verified, confirming its reliability as an encryption entropy source.
Many types of polynitro biimidazole-based energetic materials are designed by the addition of furazan, tetrazine, and tetrazole rings combined with energetic groups, such as –CN, –NHNH2, –NH2, –NO2, –NHNO2, –N3, –CH(NO2)2, and –C(NO2)3. The results show that tetrazole ring and azide functional group acts as the most favorable side in enhancing the values of heats of formation (ranging from 322.6 to 1520.7 kJ mol−1). Most of the designed compounds possess excellent detonation pressure and detonation velocity (range from 7.68 to 9.33 km s−1 and from 26.0 to 41.4 GPa). The variations in the detonation pressure and detonation velocity of the designed compounds generally follow the same trends as the changes in oxygen balance and heat of detonation, which indicates that the oxygen balance and heats of detonation have a significant influence on their detonation performance. Considering both detonation performance and stability, compounds A2 and B4 are ultimately selected as potential high-energy–density compounds. All the results may provide potential insights for expanding the diversity of molecular designs for energetic materials.
