Two-dimensional porphyrin-based COFs show great promise for photocatalytic CO₂ reduction, yet their π-π stacking often impedes active site exposure and charge transfer. Researchers developed a series of porphyrin COFs with tunably twisted linkers. The N-N-linked twisted unit in NN-Por-COF creates a remarkably undulating layered structure that enhances mass transport and exposes more active sites, while simultaneously modulating the electronic structure of cobalt-porphyrin to reduce reaction barriers. This dual structural and electronic optimization yields outstanding photocatalytic performance, achieving CO production rates of 22.38 and 3.02 mmol g⁻¹ h⁻¹ under pure and 10% CO₂, respectively, surpassing most porphyrin-based photocatalysts.

Cationic Ir（III） complex bound to synthetic saponite was used as a donor for TTA-UC（Triplet-triplet annihilation up-conversion）with 9,10-diphenylanthracne.

High quantum yield of TTA-UC was attained due to the hybridization with organically modified synthetic saponite in R-limonene.

Recently, the team of Prof. Nishuang Liu and Prof. Yihua Gao from Huazhong University of Science and Technology has reviewed the recent advances in self-powered sensors based on ionic hydrogels. The review was published in Research as “Recent Advances in Self-Powered Sensors Based on Ionic Hydrogels”. This review systematically summarizes the self-powered mechanism of ionic hydrogel self-powered sensors, structural engineering related to device and material properties, and related applications, and discusses the challenges and future development of ionic hydrogel self-powered sensors.

Water droplets maintain their spherical shape and optical properties when placed on a hydrophobic surface made by coating a glass slide with electrospun PVC fibers. The optical properties can be changed by simply adjusting the volume of water in the droplet. 

These dynamically adjustable water-based lenses have many potential future uses, from classrooms and research labs to cameras and wearable gadgets.

NUS Medicine study uses AI to modify drug doses for personalised cancer treatment