Extraction Optimization and Characterization of Pigment from Floral Bracts of Bougainvillea spectabilis

Central Composite Design (CCD) of Response Surface Method (RSM) was connected to assess the ideal states of three process factors to be specific mass of botanical blossom (g), time (t) and temperature (°C) learned at levels. Reaction Surface Method (RSM) was performed well to recognize the ideal levels of extraction process factors and the approval of anticipated model was fitted 98.06% with the exploratory outcomes led at the ideal conditions. The fundamental preferred standpoint of utilizing RSM is to comprehend the association among the procedure factors with fewer exploratory runs and it is used well for different streamlining contemplates (Sharmila et al., 2013; Ramandi et al.,2017; Baboukani et al., 2012).The fundamental target of the investigation was to decide the ideal states of water-solvent color extraction process from Bougainvillea spectabilis botanical bracts utilizing Central Composite Design (CCD) of Response Surface Method. The optimization experiments were conducted by performing 20 sets of experiments using Central Composite Design (CCD) Regression analysis and model fitting: