Zinc oxide (ZnO) is a widely studied wide band gap semiconductor with applications in several fields, namely to enhance solar cells efficiency. Its ability to be grown in a wide variety of nanostructured morphologies, allowing the designing of the surface area architecture constitutes an important advantage over other semiconductors. Laser assisted flow deposition (LAFD) is a recently developed growth method, based on a vapour-solid mechanism, which proved to be a powerful approach in the production of ZnO micro/nanostructures with different morphologies as well as high crystallinity and optical quality. In the present work we report the use of the LAFD technique to grow functional ZnO nanostructures (nanoparticles and tetrapods) working as nano templates to improve the dye-sensitized solar cells (DSSCs) efficiency. The structural and morphological characterization of the as-grown ZnO crystals were performed by X-ray diffraction and electron microscopy, respectively, and the optical quality was assessed by photoluminescence spectroscopy. DSSCs were produced using a combination of these nanostructures, which were subsequently sensitized with N719 dye. An efficiency of ∼3{%} was achieved under simulated AM 1.5 illumination conditions for a dye loading time of 1 h.

The first examples of Ru(II) h6-arene (benzene and p-cymene) complexes containing a bidentate triazolylidene-triazolide ligand have been prepared and fully characterized. Their antiproliferative effect has been investigated against tumour cells A2780 (ovarian carcinoma), HCT116 (colorectal carcinoma), and HCT116dox (colorectal carcinoma resistant to doxorubicin), and in human dermal fibroblasts. The Ru complex bearing the p-cymene arene group exhibited a stronger antiproliferative effect across all tested cell lines, while the benzene-containing complex displayed higher selectivity toward tumor cells. Both complexes induced apoptosis, likely through ROS production (in the benzene complex), and inhibited tumorigenic processes, including cell migration and angiogenesis. In zebrafish models, they showed strong selectivity for cancer cells with minimal toxicity to healthy cells, effectively reducing the proliferation of HCT116 colorectal cancer cells. This study provides the first in vivo evidence of the anticancer potential of Ru triazolylidenes in zebrafish models.

Molybdenum- or tungsten-dependent formate dehydrogenases have emerged as significant catalysts for the chemical reduction of CO${\sb 2}$ to formate, with biotechnological applications envisaged in climate-change mitigation. The role of Met405 in the active site of ıt Desulfovibrio vulgaris} formate dehydrogenase AB (ıt Dv}FdhAB) has remained elusive. However, its proximity to the metal site and the conformational change that it undergoes between the resting and active forms suggests a functional role. In this work, the M405S variant was engineered, which allowed the active-site geometry in the absence of methionine S${\sp {$δ$}}$ interactions with the metal site to be revealed and the role of Met405 in catalysis to be probed. This variant displayed reduced activity in both formate oxidation and CO${\sb 2}$ reduction, together with an increased sensitivity to oxygen inactivation.

Carbohydrate-binding-modules (CBMs) are discrete auxiliary protein modules with a non-catalytic carbohydrate-binding function and that exhibit a great diversity of binding specificities. CBMcarb-DB is a curated database that classifies the three-dimensional structures of CBM–carbohydrate complexes determined by single-crystal X-ray diffraction methods and solution NMR spectroscopy. We designed the database architecture and the navigation tools to query the database with the Protein Data Bank (PDB), UniProtKB, and GlyTouCan (universal glycan repository) identifiers. Special attention was devoted to describing the bound glycans using simple graphical representation and numerical format for cross-referencing to other glycosciences and functional data databases. CBMcarb-DB provides detailed information on CBMs and their bound oligosaccharides and features their interactions using several open-access applications. We also describe how the curated information provided by CBMcarb-DB can be integrated with AI algorithms of 3D structure prediction, facilitating structure–function studies. Also in this chapter, we discuss the exciting convergence of CBMcarb-DB with the glycan array repository, which serves as a valuable resource for investigating the specific binding interactions between glycans and various biomolecular targets. The interaction of the two fields represents a significant milestone in glycosciences. CBMcarb-DB is freely available at https://cbmdb.glycopedia.eu/ and https://cbmcarb.webhost.fct.unl.pt.