Process optimization for the pretreatment of rice husk with deep eutectic solvent for efficient sugar production.

Deep eutectic solvent (DES) has been identified as a potential green solvent in biomass processing. In the present investigation, a deep eutectic solvent i.e.

Optimization of alkali, acid and organic solvent pretreatment on rice husk and its techno economic analysis for efficient sugar production.

Excessive use of fossil fuels has accelerated climate change and global warming necessitates the need for renewable energy sources that have a lower environmental impact. In the recent decade, lignocellulosic biomass has become a prominent alternative to renewable energy resources for the production of bioenergy. The pretreatment procedure is considered a pivotal step for transforming biomass into value-added products such as sugars, biofuels, etc.

Kinetic modeling and statistical optimization of submerged production of anti-Parkinson's prodrug -DOPA by .

-DOPA, a precursor of dopamine, is the drug of choice for Parkinson's disease, which persists due to decreased levels of dopamine in the brain. Present study emphasis the microbial production of -DOPA rather than the biotransformation of -DOPA by L-tyrosine. The production of -DOPA by bacterial isolates had gained more acceptance due to its more straightforward extraction and downstream processes.