A paper released in the Journal of Bioresources and Bioproducts describes a fully bio-based barrier film that outperforms PET and PE in oxygen blocking while carrying an integrated curcumin indicator. Dialdehyde nanocellulose (DCNF) generated by 1 h periodate oxidation is blended 75% with pristine cellulose nanofibres; vacuum filtration builds a self-cross-linked sheet that is then dip-coated with an ethyl-cellulose/curcumin solution. The resulting 40 g m-2 membrane transmits 79% visible light yet transmits only 6.9 cm3 m-2 d-1 O2 (120-fold improvement over unmodified CNF) and 43 g m-2 d-1 water vapor—comparable to commercial polypropylene. Over 500 min the composite scavenges 91% DPPH radicals and suppresses > 99.9% growth of E. coli and S. aureus. When attached to refrigerated shrimp, the yellow label turns orange-brown as volatilised amines raise local pH, giving an irreversible but easy-to-see spoilage alert within 2 d. The approach requires no metals or synthetic antioxidants, making it a candidate for home-compostable, intelligent food packaging.

A Swansea University academic has been honoured with the prestigious SEMI Academia Impact Award, recognising his outstanding contributions to semiconductor research, innovation, and industry-academia collaboration in Europe.

Researchers at the Institute of Science Tokyo have developed a groundbreaking neural-network-based 3D imaging technique that can precisely measure moving objects—a task long considered extremely challenging for conventional optical systems. Presented at the International Conference on Computer Vision (ICCV) 2025, the new neural inverse rendering method reconstructs high-resolution 3D shapes using only three projection patterns, enabling dynamic 3D measurement across diverse applications in manufacturing inspection, digital twin modeling, and performance capture in visual production.

Power transmission lines require constant monitoring even in remote regions. Recently, a team of researchers from Hanyang University has proposed a novel unmanned aerial vehicle-based approach that utilizes multi-modal sensors for environmental infringement and sag estimation for power transmission lines. The presented technique is expected to revolutionize automated infrastructure monitoring, paving the way for cost-efficient, resilient, and more robust technologies.

Ensuring food quality and safety is of supreme importance. In this direction, researchers from Hanbat National University, Korea University (Sejong campus), and Korea Institute of Machinery and Materials have developed an innovative surface-enhanced Raman scattering sensor integrated in stretchable and antimicrobial wrapper for real-time food quality monitoring and preservation. The real-world uses of this technology span the entire farm-to-fork chain, including cold-chain logistics and storage, retail smart packaging, food-safety screening, and meal-kit delivery.

An image-only artificial intelligence (AI) model for predicting the five-year risk of breast cancer provided stronger and more precise risk stratification than breast density assessment, according to a new study being presented next week at the annual meeting of the Radiological Society of North America (RSNA).