A research team led by Dr. Dirk Henkensmeier at the Hydrogen and Fuel Cell Research Center of the Korea Institute of Science and Technology (KIST, President Sang-Rok Oh) has developed a novel membrane material for water electrolysis that operates stably and has significantly higher conductivity under low alkalinity conditions than existing systems. The newly developed membrane maintains high hydrogen production performance even in low-concentration alkaline environments, providing a technological foundation for low-alkalinity water electrolysis.

Researchers at the RIKEN Center for Sustainable Resource Science (CSRS) in Japan recently examined how different kinds of pesticides and fertilizers affect mandarin oranges across Japan. Analysis showed that while reducing pesticides enhanced the diversity of microbes in the soil, it also led to an increase in fruit disease caused by leaf pathogens. The real-world data from commercial farms thus indicate a trade-off above ground with potential ecological benefits below ground. The study offers important insights for the advancement of sustainable agricultural technologies and future policy development.

Accurate detection of ethanol at extremely low concentrations is essential for applications ranging from industrial safety to health monitoring, yet existing sensors often struggle to balance sensitivity, selectivity, and power efficiency. 

Detecting complex chemical odors and gas mixtures is essential for environmental safety, healthcare, and food quality control, yet traditional gas sensors often struggle with limited selectivity, sensor drift, and slow response.

Researchers in China comprehensively identified 54 AhPR10 genes in cultivated peanut, phylogenetically classified into eight distinct subgroups with supported gene structure and motif conservation. Segmental duplication was identified as the primary driver for the expansion of the AhPR10 gene family, as revealed by chromosomal distribution and synteny analysis. The recombinant AhPR10-33 protein demonstrated significant antifungal activity by inhibiting Aspergillus flavus mycelial growth in vitro, highlighting its potential role in pathogen resistance.

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large language models (LLMs) to redesign new materials that were previously difficult to synthesize into forms that are experimentally feasible.