Preparation and Characterization of Magnetite-Polyvinyl Alcohol Hybrid Nanoparticles (As-PVA-MNPs) Using Acanthophora spicifera Marine Algae Extract for Enhanced Antimicrobial Activity Against Pathogenic Microorganisms

The present study focused on preparing and characterizing magnetite-polyvinyl alcohol (PVA) hybrid nanoparticles using Acanthophora spicifera marine algae extract as a reducing agent. Various analytical techniques, including UV-Visible spectrometry, Fourier-transform infrared (FTIR) analysis, energy-dispersive X-ray (EDX), scanning electron microscopy (SEM), and X-ray diffraction (XRD) analysis, were used to characterize the nanoparticles. The results showed the successful synthesis of nanoparticles with a characteristic color change and absorption peak at 400 nm in UV-Visible spectrometry. FTIR analysis indicated an interaction between the carboxyl group and magnetite-polyvinyl alcohol hybrid ions. SEM analysis revealed spherical nanoparticles with sizes ranging from 20 to 100 nm. EDX analysis confirmed the presence of strong magnetite peaks in Acanthophora spicifera, validating successful preparation. XRD analysis indicated the crystalline nature of the nanoparticles. Furthermore, the antimicrobial potential of As-PVA-MNPs was evaluated, demonstrating a significant zone of inhibition against tested bacterial and fungal samples at a concentration of 100 µg. These findings suggest the promising antimicrobial activity of the synthesized nanoparticles for potential applications in combating pathogenic microorganisms.

Assessment of metal contaminants along the Bay of Bengal - Multivariate pollution indices

The spatial concentration of heavy metals (Mn, Ni, Cu, Co, Zn, Cd, and Pb) was studied in coastal areas (n = 9) including water (n = 27) and sediment (n = 27) in the Palk Bay, India to understand the metal pollution due to prevailing natural and anthropogenic activities. Pollution indices like metal index (MI), geoaccumulation index (Igeo), contamination factor (CF), pollution load index (PLI) and potential ecological risk (PER) were calculated based on the background/reference value. The values of MI index indicated that water was free of metals, whereas Igeo, CF, PLI and PER indicated moderate contamination of sediment in monsoon. Cadmium concentrations were the highest irrespective of the indices (Igeo: 0.04-1.42, Cf: 0.36-0.74, PLI: 0.36-0.74, and PER: 76.89-143.36) indicating moderate pollution. The Principal Component Analysis (PCA) affirmed that Cd was positively correlated with stations indicating anthropogenic sources of Cd contamination.