Flash chromatographic isolation of garcinol and isogarcinol from Garcinia indica Choisy (kokum) fruit and evaluation of their potential antibiofilm activity.

The present study describes the isolation and separation of isogarcinol and garcinol from kokum fruit by flash chromatography using water (containing 0.1 % formic acid) and methanol mixed with acetonitrile (1:1) with UV detection at 254 nm and was characterised by HR-MS and NMR studies. These were further subjected to antimicrobial studies on Staphylococcus aureus FR1722 and Listeria monocytogenes Scott A by agar diffusion assay and broth microdilution method wherein the MIC (Minimum Inhibitory Concentration) of garcinol and isogarcinol were, 20 μg/mL and 50 μg/mL for S.

Arabinoxylan from pearl millet bran: Optimized extraction, structural characterization, and its bioactivities.

Arabinoxylan (AX) from cereals and millets have garnered attention due to the myriad of their bioactivities. Pearl millet (Pennisetum glaucum) bran, an underexplored milling by-product was used to extract AX (PMAX) by optimized alkali-assisted extraction using Response Surface Methodology and Central Composite Design, achieving a yield of 15.96 ± 0.

Improved production of RNA-inhibiting antimicrobial peptide by Bacillus licheniformis MCC 2514 facilitated by a genetic algorithm optimized medium.

One of the significant challenges during the purification and characterization of antimicrobial peptides (AMPs) from Bacillus sp. is the interference of unutilized peptides from complex medium components during analytical procedures. In this study, a semi-synthetic medium was devised to overcome this challenge.

Rapid detection of sunset yellow adulteration in tea powder with variable selection coupled to machine learning tools using spectral data.

Unlabelled: In the present study sunset yellow (SY), a synthetic colour, which is a common adulterant in tea powders has been analysed using FT-IR spectral data coupled to machine learning tools for efficient classification and quantification of the SY adulteration. Earlier established real coded genetic algorithm (RCGA) was used as variable selection method to predict the key fingerprints of SY in the FT-IR spectra. Here, RCGA was used to select 20, 30, 40, 50 and 60 characteristic wavenumbers for SY.