Influence of Crystal Shape and Orientation on the Magnetic Microstructure of Bullet-Shaped Magnetosomes Synthesized by Magnetotactic Bacteria

Magnetotactic Bacteria (MTB) are a group of microorganisms capable of biomineralizing magnetosomes. Magnetosomes are membrane-bound magnetic nanocrystals primarily composed of magnetite (Fe₃O₄) or greigite (Fe₃S₄). These magnetosomes are arranged in chains or specific orientations within bacterial cells, endowing the bacteria with a magnetic dipole...

Magnetite Nanoparticles as Metastable Biogeobatteries in Consecutive Redox Cycles

Iron (Fe) is one of the most abundant elements on Earth, widely present in soils and sediments, and participates in global carbon, nitrogen, and oxygen cycles. The redox reactions of iron play a crucial role in biogeochemical cycles, particularly in the processes of iron oxidation and reduction. Iron minerals, especially mixed-valent iron minerals ...

Microbial Reduction of Fe(III)-Bearing Solids Recovered from Hydraulic Fracturing Flowback Water: Implications for Wastewater Treatment

Hydraulic fracturing is a technique used to extract natural gas from unconventional reservoirs, but it generates large volumes of flowback and produced water. These waters contain complex mixtures of organic and inorganic constituents, particularly the solids associated with these fluids, which are often rich in iron (Fe), toxic organics, heavy met...

Bacterial Toxicity of Sulfidated Nanoscale Zerovalent Iron in Aerobic and Anaerobic Systems: Implications for Chlorinated Solvent Clean-Up Strategies

Academic Background The widespread use and improper disposal of chlorinated solvents (such as perchloroethylene and trichloroethylene) have led to severe contamination of soil and groundwater worldwide. These pollutants not only threaten groundwater security but may also affect human health through the food chain. Although traditional microbial red...

SP-DTI: Subpocket-Informed Transformer for Drug–Target Interaction Prediction

Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...