Development of magnetic La doped Al2O3 core-shell nanoparticle loaded hydrogel for selective recovery of fluoride from aquatic medium.

The selective removal of pollutants from water bodies is regarded as a conciliation between the rapid expansion of industrial activities and need of clean water for sustainability. Fluoride is one such geogenic pollutant, and various materials have already been reported. Developing an efficient field employable material is however a challenge. Herein, we report the synthesis and competencies of strategically designed magnetic La-doped Al2O3 core-shell nanoparticle loaded polymeric nanohybrid as a benchmark fluoride sorbent. A facile synthesis strategy involved fabrication of Fe3O4 magnetic core followed by growth of La doped Al2O3 shell using sol-gel method. Doping of La2O3 into Al2O3 structure was optimised (6%), resulting in Fe3O4-Al0.94 La0.06O1.5 core-shell particles which provided exceptional fluoride affinity. The obtained magnetic Fe3O4-Al0.94La0.06O1.5 core-shell nanoparticles were then loaded (22%) into alginate to form cross-linked hydrogel beads (Fe3O4-Al0.94 La0.06 O1.5-Ca-ALG). These prepared hydrogel beads were characterised and utilized for selective recovery of fluoride under different ambient conditions. Driving forces for enhanced fluoride uptake by La doped Al2O3 were investigated and explained with the help of both experimental observation and theoretical simulation. Density functional theory calculations indicated significant expansion in the cell volume of Al2O3 due to La doping which favoured the fluoride sorption. The calculated defect formation energy for the incorporation of F into Al2O3 was found to decrease in the presence of La. XPS analysis suggested direct interaction of fluoride with Al, forming Al-F bond and breaking Al-O bond. Different vital parameters for uptake were optimised. Also, kinetics, isotherm and diffusion models were evaluated. Developed hydrogel beads attained record sorption capacity of 132.3 mgg-1 for fluoride. Overall, excellent stability, no leaching of constituents, effectiveness for selective fluoride recovery from groundwater, brand it a perfect epitome of sustainable water treatment application.

Identification of SNPs in crucial starch biosynthesis genes in rice.

Rice is the foremost crop catering to the major calorific requirement of the human population but has the disadvantage of having high glycaemic index (GI). The fine quality rice varieties, BPT and RNR have been recently identified as having low GI in nature and are grown mostly in southern parts of India. Starch (80%) is the major component of rice endosperm attributing to GI. The study aimed to unravel the molecular basis of low GI through targeted pooled amplicon sequencing of major starch biosynthetic genes. A total of 13 candidate genes involved in starch synthesis were amplified and pooled in equimolar proportion for sequencing. Single-nucleotide polymorphisms (SNPs) and insertions/deletions (Indels) were detected in both coding and noncoding regions. Among the genes that are under study, the highest number of variations were identified in starch synthase I (SSI) followed by starch synthase IIIA (SSIIIA) genes. Nonsynonymous SNPs with high probability of effecting gene function were validated by Sanger sequencing and molecular docking. Identified causative SNPs were mapped on 3000 rice genome database and their allele frequencies were obtained. The outcome of this study has a potential to be applied in breeding programmes to obtain low GI rice varieties with added beneficial traits.