A research team led by Professor Jie Zeng and Associate Researcher Han Yan from the University of Science and Technology of China, in collaboration with Professor Chao Ma from Hunan University, has developed a novel ceria-supported platinum bilayer cluster catalyst. This breakthrough material demonstrates exceptional catalytic activity and stability in alkene hydrosilylation reactions while achieving atomic-level precision structural identification of the catalyst.

A recent study published in National Science Review has developed a field wastewater pathogen detection technology named WATER NEWS. Through iterative optimization of CRISPR-based assays, this system ​eliminates​ all dependence on cold-chain storage and continuous power supply while preventing nucleic acid aerosol contamination, ​thus establishing​ a sustainable epidemic surveillance paradigm for the post-pandemic era.

After six years of intensive research and testing, the Rhisotope Project has officially reached operational status – where rhinos will effectively be protected through nuclear technology.

The project aims to disrupt the illegal rhino horn trade by embedding low-level radioactive isotopes into the horn. These radioisotopes can be detected by radiation detection equipment at countries borders around the world, allowing for the effective interception of trafficked horns.

Fluorescent markers are extremely useful in science as tools to track molecules or processes as they carry out their unique activities, revealing unknown facts along the way. However, physically introducing fluorescent markers into targets can result in strong background signals, and even when chemically bound, the target’s hydrophobicity may increase, making the process far from straightforward. Moreover, fluorescent markers are often affected by the properties of the solvent in which they operate. To address these challenges, researchers have developed a method to track the behavior of cellulose nanofibers (CNFs) by conjugating water-compatible fluorescent amino acids to the CNFs. As a result, observers can now microscopically visualize CNFs by following the blue fluorescence emitted from them.

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates.