An anaerobic, mesophilic, syntrophic, propionate-oxidizing bacterium, strain MGP(T), was isolated as a defined co-culture with Methanospirillum hungatei from the methanogenic sludge of a mesophilic upflow anaerobic sludge blanket (UASB) reactor. The strain grew in the presence of propionate, but only in co-culture with methanogens, suggesting that it is an obligately syntrophic bacterium. The optimum temperature for growth was 37 degrees C, and the optimum pH was between 6.5 and 7.2. Based on comparative 16S rRNA gene sequence analysis, strain MGP(T) was affiliated with subcluster Ih of 'Desulfotomaculum cluster I', in which it was found to be moderately related to known species of the genera Pelotomaculum and Cryptanaerobacter. Similar to known species of the genus Pelotomaculum, strain MGP(T) could degrade propionate in syntrophy, but had no ability to reduce sulfate, sulfite and thiosulfate. Further phenotypic and genetic studies supported the affiliation of the strain as a novel species in this genus, for which the name Pelotomaculum propionicicum sp. nov. is proposed. The type strain is MGP(T) (=DSM 15578(T)=JCM 11929(T)). The strain has been deposited in the DSM and JCM culture collections as a defined co-culture with Methanospirillum hungatei.
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http://dx.doi.org/10.1099/ijs.0.64925-0 | DOI Listing |
Angew Chem Int Ed Engl
December 2024
Shanghai University, Department of Chemical Engineering, 99 Shangda Road, 200444, Shanghai, CHINA.
Developing ethanol oxidation electrocatalysts with high catalytic activity, durability, and resistance to CO poisoning remains a major challenge. High-entropy alloys (HEAs) with unique physical and chemical properties have garnered substantial attention. Herein, a class of HEA nanodendrites are designed by a simple wet-chemical method.
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January 2025
School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, China.
Developing high-performance, durable, and ultralow-loading platinum (Pt) catalysts for the oxygen reduction reaction (ORR) is crucial for advancing fuel cells. Here, a novel structured alloy catalyst is reported, characterized by Pt-Co intermetallic compounds with a Pt-skin, encapsulated by a covalent organic framework (COF) derived carbon support. This unique structure, combining alloy-induced strain effects and protective encapsulation, leads to exceptional catalytic activity and stability at an ultralow Pt loading of 0.
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January 2025
Beijing Advanced Innovation Center for Materials Genome Engineering, State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing, 100083, P. R. China.
J Am Chem Soc
November 2024
State Key Lab of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, P. R. China.
Pt-based intermetallics are expected to be the highly active catalysts for oxygen reduction reaction (ORR) in proton-exchange membrane fuel cells but still face great challenges in controllable synthesis of interatomically ordered and ultrafine intermetallic nanoparticles. Here, we propose an oxygen vacancy-mediated atomic diffusion strategy by mechanical alloying to reduce the energy barrier of the transition from interatomic disordering to ordering, and to resist interparticulate sintering via strong M-O-C bonding. This synthesis results in a nanosized core/shell structure featuring an interatomically ordered PtM core and a Pt shell of two to three atomic layers in thickness and can be extended to the multicomponent PtM (M = Co, FeCo, FeCoNi, FeCoNiGa) systems.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
December 2024
Guangdong Provincial Key Laboratory of Fuel Cell Technology, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, 510641, China.
Advancing the design of cathode catalysts to significantly maximize platinum utilization and augment the longevity has emerged as a formidable challenge in the field of fuel cells. Herein, we rationally design a high entropy intermetallic compound (HEIC, Pt(FeCoNiCu)) for catalyzing oxygen reduction reaction (ORR) by an efficient machine learning stategy, where crystal graph convolutional neural networks are employed to expedite the multicomponent design. Based on a dataset generated from first-principles calculations, the model can achieve a high prediction accuracy with mean absolute errors of 0.
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