WebFeb 13, 2024 · The cultivation will be carried out at 1 L reactor with continuous aeration, light intensity is 3000-4000 lux, and temperature is 27-30°C. Phycocyanin is obtained by liquid-liquid extraction... WebNov 1, 2024 · Discussion: Overall, this study demonstrated that addition of exogenous substances (BS, BT) into culture medium optimized by RSM was an effective approach to increase phycocyanin production, which paved a potential way to realizing high efficient production of algal biomass and bioactive substances. 1. Introduction
Optimization of Spirulina’s Phycocyanin Extraction ... - ResearchGate
WebOct 1, 2015 · Optimization of C-phycocyanin production from S. platensis cultivated on mixotrophic condition by using response surface methodology 1. Introduction Spirulina … WebDec 10, 2024 · require non-linear optimization. 107%;font-family:" times>Bioreactor system. C-phycocyanin is a valuable bioproduct for food industry and potential valuable pharmaceutical product (del Rio-Chanona et al., 2016). In the experiments, cyanobacteria Plectonema sp. is used for C-phycocyanin production. The batch process is performed in an charting fnf songs
WO2024035334A1 - Method for quantitatively measuring phycocyanin …
WebOptimization of production of C-phycocyanin and extracellular polymeric substances by Arthrospira sp Bioprocess Biosyst Eng. 2024 Aug;40 (8):1173-1188. doi: 10.1007/s00449-017-1778-y. Epub 2024 May 11. Authors Monchai Dejsungkranont 1 , Yusuf Chisti 2 , Sarote Sirisansaneeyakul 3 4 Affiliations WebThe optimization of the response surface methodology yields a high biomass output of 9.34 g/L, PHB yield of 5.48 g/L, and dry cell weight of 58.67%. The ANOVA findings, F and R 2 value of biomass (10.04 and 0.9036) and PHB (23.33 and 0.9561). The results show that employing coconut coir as a feedstock allows for the enhanced production of PHB. WebMar 8, 2024 · My model is a non linear model and I need to optimize x which has two variables (production rate of each field and its production priority list). The optimization problem as the following: if true % code. end. nvars = 10; lb = [1100 500 150 200 300 1 1 1 1 1]; ub = [2500 1000 500 600 800 5 5 5 5 5]; charting flight