A study in Journal of Bioresources and Bioproducts presents yarn-free cellulose fibers extracted from wild paper-mulberry bast and functionalized with renewable suberin. The resulting textiles show 0.43 GPa tensile strength, broad-spectrum antibacterial activity and cradle-to-gate CO₂ emissions 90 % lower than PET, while 95 % of the coating can be recovered and reused.

A sweeping literature review of 66 studies published in Journal of Bioresources and Bioproducts shows that minimally processed olive oil residues—particularly pomace and stones—can strip 90–99 % of heavy metals, dyes and pharmaceuticals from real wastewater at capacities up to 230 mg g⁻¹, rivaling activated carbon while slashing disposal costs and emissions.

Shaanxi University researchers embedded naphthylimide fluorescent particles into ordinary filter paper to create a non-invasive, non-enzymatic platform that detects uric acid in saliva, urine or food within minutes using only a phone camera and a hand-held UV torch. Linear range 0–5 000 μmol L⁻¹, LOD 0.91 μmol L⁻¹, recoveries 95–108 %.

Researchers in China and Germany have engineered a leaf-inspired smart bandage that integrates blueberry-derived anthocyanins as a pH-sensitive dye and neomycin-grafted cellulose as a non-leaching antibacterial scaffold. The dual-network aerogel rapidly converts to a hydrogel upon absorbing wound exudate, generating gentle negative pressure that continuously cleans the wound and prevents reinfection. In infected mouse models, the dressing achieved 88% wound closure in seven days, outperforming a leading commercial product, while its color shift from pink to brown instantly alerts clinicians to rising pH and potential infection.

Camelina (Camelina sativa) is gaining global attention as a climate-friendly biofuel crop, yet its limited genetic diversity poses a challenge for crop improvement. 

A cutting-edge silicon resonant microsensor has been developed to meet the pressing demand for high-accuracy, wide-range pressure measurements in extreme environments. 

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science. However, their inherently high viscosity hinders the ability of molecular dynamics (MD) simulations to explore their structure-property relationships on large spatiotemporal scales. Coarse-grained (CG) models address this challenge by retaining essential structural features while eliminating some atomic details, significantly reducing computational costs. A team of theoretical chemists presented the latest advances in IL CG models, with particular emphasis on the procedures for developing efficient CG models and parameterization methods with the aid of machine learning models. They also summarized applications of CG models in biological and electrochemical systems. This work was published in Industrial Chemistry & Materials on 09 Jun 2025.

Long-term success of dental implants depends not just on bone integration but also on the health of surrounding gum tissue.