화학공학소재연구정보센터
Separation Science and Technology, Vol.55, No.5, 932-944, 2020
Process-intensified extraction of phycocyanin followed by beta-carotene from Spirulina platensis using ultrasound-assisted extraction
The development of sustainable technology for the extraction of value-added products from the ecological feedstock is gaining importance. The present work focuses on the intensification of extraction of different metabolites such as phycocyanin and beta carotene from microalgae (Spirulina platensis) and also presents the optimum extraction parameters using an ultrasound-assisted approach. Initially, phycocyanin was extracted from lyophilized biomass of Spirulina platensis using an ultrasound-assisted approach, and then the extract was centrifuged and the supernatant was treated by using the sugaring-out method to separate phycocyanin from chlorophyll. The remaining biomass was further used for the extraction of beta-carotene using the same ultrasound-assisted approach. Various operating parameters such as amplitude, duty cycle, sonication time, and depth of horn immersed into the solution have been investigated for intensified extraction. Moreover, Taguchi design of experiments was used to evaluate the yield of beta-carotene using the L-9 orthogonal array based on the effect of probe length, amplitude, duty cycle, and sonication time. On the basis of results and signal-to-noise (S/N) ratio analysis, a ranking of the parameters was performed. It can be noted here that the order of ranking was amplitude > sonication time > duty cycle > depth of horn immersing into the solution. Overall, it has been observed that maximum extraction of phycocyanin and beta-carotene was 67 mg/g of dry biomass and 4.66 mg/g of dry weight, which was obtained at optimal amplitudes of 80% and 66% of the duty cycle and 0.5 cm depth of horn immersing into the solution in 4 min and 10 min, respectively. The present study clearly demonstrated that significant intensification benefits can be obtained in terms of the extraction of metabolites at optimal conditions using the ultrasound-assisted approach.