A statistical approach for optimization of R-phycoerythrin extraction from the red algae Gracilaria verrucosa by enzymatic hydrolysis using central composite design and desirability function

The aim of this research is to statistically optimize enzymatic hydrolysis parameters for the production of R-phycoerythrin (RPE) from red algae Gracilaria verrucosa. Six independent variables, incubation temperature, incubation time, ratio of buffer to raw material, cellulase loading, xylanase loading, and pH, were selected for response surface methodology studies. A central composite design was employed to maximize RPE production. A mathematical model with high determination coefficient (R ²?=?0.86) was developed and could be employed to optimize RPE extraction. The optimal extraction conditions of RPE were determined as follows: incubation temperature (48°C), incubation time (6?h), ratio of buffer to raw material (20 w/v), cellulase loading (15%), xylanase loading (5%), and pH (6.5). Under this optimal condition, the experimental yield of RPE was 6.25?mg?g^?1. Based on the result of response surface methodology and desirability function approach study, total sugar, the main by-product in RPE extraction was considered as another response. A new optimal condition was predicted as follows: incubation temperature (30°C), incubation time (12?h), ratio of buffer to raw material (20, w/v), cellulase loading (15%), xylanase loading (5%), and pH (6). Under this condition, similar RPE levels were obtained while the concentration of total sugar decreased by 40%.