Abstract

Three cyanobacterial and microalgal cultures such as consortium of Leptolyngbya sp. and Planktothrix sp. (Type I), Tetraspora sp. NITD 18 (Type II), and consortium of Chlorella sp. and Synechococcus sp. (type III) were chosen for the growth in both BG-11 and synthetic coke-oven wastewater (STCW). Maximum productivities of protein (75.63 (mg/L)/day, lipid (13.96 (mg/L)/day) were obtained in BG-11 medium for culture type II and that for carbohydrate (86.25 (mg/L)/day) was obtained with Type I. However, in STCW, maximum productivities were obtained as carbohydrate: 75.55 (mg/L)/day (Type III), protein: 57.67 (mg/L)/day (Type III), and lipid: 12.51 (mg/L)/day (Type I). Maximum yield was obtained as follows: carbohydrate - 146.47 mg/g and 122.26 mg/g (Type II), protein - 435.24 mg/g and 537.05 mg/g (Type II), and lipid - 111.45 mg/g and 217.47 mg/g (Type I) in BG-11 and STCW solutions, respectively. Artificial Neural Network-Genetic algorithm (ANN-GA) was used for modeling and optimization to get maximum outputs. The aim is selection of the suitable culture for the production of macromolecules under naïve and stressed environment.

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