A Novel MnO<i>_x</i>–MoO<i>_x</i> Codoped Iron-Based Catalyst for NH₃‑SCR with Superior Catalytic Activity over a Wide Temperature Range

MnOx and MoOx, as additives, have proved effective in enhancing the NH3 selective catalytic reduction activity of catalysts. In this study, a new Mn–Fe–Mo catalyst was prepared using both the precipitation method and impregnation method. The redox properties, surface acidity, and reaction intermediates of the prepared catalysts were analyzed using various techniques. The test results showed that the MFMo4 catalyst achieved a NOx conversion rate exceeding 90% over the temperature range of 120–390 °C, demonstrating high potential to replace V-based catalysts due to outstanding activity at both high and low temperatures. The addition of MoOx exerted a detrimental impact on the redox property and avoided the production of N2O, thereby enhancing the N2 selectivity. Furthermore, the codoping of MnOx and MoOx inhibited the adsorption of NOx on the catalysts while resulting in an increased number of Lewis acid sites on the catalyst. This promoted its reaction via the Eley–Rideal mechanism, which played a crucial role in ensuring the catalyst had excellent SCR activity over a wide temperature range

Theoretical Study of the Optimal Design of a UV-Controllable Smart Surface Decorated by a Hybrid Azobenzene-Containing Polymer Layer

Although grafting polymers onto surfaces is widely suggested for designing smart systems, optimizing the performance of such systems is not simple. In this article, we investigate an azo-polymer-based smart surface using the single-chain-in-mean-field theory. Through the numerical simulations, we study the adhesion/erasion transition of the system and show that the performance of the smart surface can be characterized by the difference between the effective nanoparticle–surface interactions in the UV-on and UV-off states. Further exploring the optimization of the smart surface, we find that the distribution function of the receptor can have typical bimodal characteristics, which is crucial for optimizing the position of the azo-bond along the azo-polymer, f. Moreover, the presence of the homopolymer is also essential for the optimal performance of the smart surface, and we build a reference map for the good combinations of f and the homopolymer design fhomo

Boxplots showing synonymous substitutions (dS), nonsynonymous substitutions (dN), and dN/dS ratios in mt- and cp-genomes in Phaeophyceae.

The box represents the values between the quartiles. Outliers are shown as black points, and the black lines inside the box represent the median values.</p

The synteny analysis of Phaeophyceae mitochondrial genomes.

(TIF)</p

Chloroplast genomes substitution rates in Phaeophyceae.

(DOCX)</p

Venn diagram comparing the protein-coding gene contents of nine brown algal cp-genomes.

The numbers in the Venn diagram represent the number of shared and/or unique gene. (TIF)</p

The collinearity analysis of Phaeophyceae chloroplast genomes.

The collinearity analysis of Phaeophyceae chloroplast genomes.</p

Phylogenetic relationship of 19 species in Phaeophyceae inferred from ML and BI analyses based on shared protein-coding genes.

The numbers near each node are bootstrap support values in ML and posterior probability in BI with H. akashiwo as outgroup. (TIF)</p

Funnel plot of scale scores based on the limb function evaluation index.

Funnel plot of scale scores based on the limb function evaluation index.</p

Forest plot of subgroup sensitivity analysis by excluding studies with a high risk of bias.

Forest plot of subgroup sensitivity analysis by excluding studies with a high risk of bias.</p