Constructing Ru@C N /Cu Tandem Electrocatalyst with Dual-Active Sites for Enhanced Nitrate Electroreduction to Ammonia.

Electroreduction of nitrate to ammonia reaction (NO RR) is considered as a promising carbon-free energy technique, which can eliminate nitrate from waste-water also produce value-added ammonia. However, it remains a challenge for achieving satisfied ammonia selectivity and Faraday efficiency (FE) due to the complex multiple-electron reduction process. Herein, a novel Tandem electrocatalyst that Ru dispersed on the porous graphitized C N (g-C N ) encapsulated with self-supported Cu nanowires (denoted as Ru@C N /Cu) for NO RR is presented.

Theoretical Investigation of Electrocatalytic Reduction of Nitrates to Ammonia on Highly Efficient and Selective g-CN Monolayer-Supported Single Transition-Metal Atoms.

Electrocatalytic reduction of nitrate (NORR) to synthesize ammonia (NH) can effectively degrade nitrate while producing a valuable product. By utilizing density functional theory calculations, we investigate the potential catalytic performance of a range of single transition-metal (TM) atoms supported on nitrogenated holey doped graphene (g-CN) (TM/g-CN) for the reduction of nitrates to NH. Based on the screening procedure, Zr/g-CN and Hf/g-CN are predicted as potential electrocatalysts for the NORR with limiting potential () values of -0.

Twenty-four-hour real-time continuous monitoring of acute focal cerebral ischemia in rabbits based on magnetic inductive phase shift.

Background: As a serious clinical disease, ischemic stroke is usually detected through magnetic resonance imaging and computed tomography. In this study, a noninvasive, non-contact, real-time continuous monitoring system was constructed on the basis of magnetic induction phase shift (MIPS) technology. The "thrombin induction method", which conformed to the clinical pathological development process of ischemic stroke, was used to construct an acute focal cerebral ischemia model of rabbits.

Simulation study of detecting conductivity of brain tissues with magnetic induction based on FDTD.

To further optimize and improve upon our MIT experiment system, the simulation study of the ideal physical model of our single channel measurement system of MIT is carried out with finite difference time domain (FDTD) method. According to antenna theory, an excitation coil similar to a helix is modeled as a stack of electric and magnetic sources. The current phase deviation of the single MIT-channel between the excitation and receiver coils is analysed with three ideal spherical models of the human brain.