Optimization of Enzymatic Saccharification of Alkali Pretreated Parthenium sp. Using Response Surface Methodology

Abstract EN

Parthenium sp.

is a noxious weed which threatens the environment and biodiversity due to its rapid invasion.

This lignocellulosic weed was investigated for its potential in biofuel production by subjecting it to mild alkali pretreatment followed by enzymatic saccharification which resulted in significant amount of fermentable sugar yield (76.6%).

Optimization of enzymatic hydrolysis variables such as temperature, pH, enzyme, and substrate loading was carried out using central composite design (CCD) in response to surface methodology (RSM) to achieve the maximum saccharification yield.

Data obtained from RSM was validated using ANOVA.

After the optimization process, a model was proposed with predicted value of 80.08% saccharification yield under optimum conditions which was confirmed by the experimental value of 85.80%.

This illustrated a good agreement between predicted and experimental response (saccharification yield).

The saccharification yield was enhanced by enzyme loading and reduced by temperature and substrate loading.

This study reveals that under optimized condition, sugar yield was significantly increased which was higher than earlier reports and promises the use of Parthenium sp.

biomass as a feedstock for bioethanol production.