Outstanding Performance of Mg/g-CN-Doped AlO Serving as a Nanocatalyst and Its Bactericidal Behavior: An In Silico Molecular Docking Study.

A coprecipitation approach was employed to synthesize aluminum oxide (AlO) with a fixed quantity of graphitic carbon nitride (g-CN) and various concentrations of Mg (2 and 4 wt. %). The main objective of this research is to explore and enhance the dye degradation potential and antimicrobial efficacy of synthesized pristine and doped AlO with molecular docking analysis.

Identification of desalination and wind power plants sites using m-polar fuzzy Aczel-Alsina aggregation information.

Real-world decision-making problems often include multi-polar uncertainties dependent on multi-dimensional attributes. The m-polar fuzzy (mF) sets can efficiently handle such multi-faceted complications with T-norm based weighted aggregation techniques. The Aczel-Alsina T-norms offer comparatively flexible and accurate aggregation than the other well-known T-norm families.

Catalytic performance and antibacterial behaviour with molecular docking analysis of silver and polyacrylic acid doped graphene quantum dots.

In this research, a fixed concentration (3 wt%) of Ag/PAA and PAA/Ag doped graphene quantum dots (GQDs) were synthesized using the co-precipitation technique. A variety of characterization techniques were employed to synthesize samples to investigate their optical, morphological, structural, and compositional analyses, antimicrobial efficacy, and dye degradation potential with molecular docking analysis. GQDs have high solubility, narrow band gaps, and are suitable for electron acceptors and donors but show less adsorption and catalytic behavior.