Hybrid material by anchoring a ruthenium(ii) imine complex to SiO2: preparation, characterization and DFT studies

Grafting-from Synthesis of Plant-Polynorbornene Biohybrid Materials

Plants, essential for food, oxygen, and economic stability, are under threat from human activities, biotic threats, and climate change, requiring rapid technological advancements for protection. Biohybrid systems, merging synthetic macromolecules with biological components, have provided improvement to biological systems in the past, namely, in the biomedical arena, motivating an opportunity to enhance plant well-being. Nevertheless, strategies for plant biohybrid systems remain limited. In this study, we present a method using grafting-from ring-opening metathesis polymerization (ROMP) under physiological conditions to integrate norbornene-derived polymers into live plants by spray coating. The approach involves creating biological macroinitiators on leaf surfaces, which enable subsequent polymerization of norbornene-derived monomers. Characterization techniques, including FTIR spectroscopy, SEM EDS imaging, ICP-MS, nanoindentation, and XPS, confirmed the presence and characterized the properties of the polymeric layers on leaves. The demonstrated modifiability and biocompatibility could offer the potential to maintain plant health in various applications, including the development of thermal barriers, biosensors, and crop protection layers.

Bio-Doped Microbial Nanosilica as Optosensing Biomaterial for Visual Quantitation of Nitrite in Cured Meats

A microbial optosensor for nitrite was constructed based on biomimetic silica nanoparticles, which were doped with R5, a polypeptide component of silaffin, as a robust biosilica immobilization matrix entrapped with Raoultella planticola and NAD(P)H cofactor during the in vitro biosilicification process of silica nanoparticles. Ruthenium(II)(bipy)2(phenanthroline-benzoylthiourea), the chromophoric pH probe, was physically adsorbed on the resulting biogenic nanosilica. Optical quantitation of the nitrite concentration was performed via reflectance transduction of the bio-doped microbial nanosilica at a maximum reflectance of 608 nm, due to the deprotonation of phen-BT ligands in the ruthenium complex, while the intracellular enzyme expression system catalyzed the enzymatic reduction of nitrite. Reflectance enhancement of the microbial optosensor was linearly proportional to the nitrite concentration from 1−100 mg L−1, with a 0.25 mg L−1 limit of detection and a rapid response time of 4 min. The proposed microbial optosensor showed good stability of >2 weeks, great repeatability for 5 repetitive assays (relative standard deviation, (RSD) = 0.2−1.4%), high reproducibility (RSD = 2.5%), and a negligible response to common interferents found in processed meats, such as NO3−, NH4+, K+, Ca2+, and Mg2+ ions, was observed. The microbial biosensor demonstrated an excellent capacity to provide an accurate estimation of nitrite in several cured meat samples via validation using a standard UV-vis spectrophotometric Griess assay.