From all the pigments found in Spirulina platensis, phycocyanin has been found to have a diverse application in various fields, and has a high market demand, calling for a need to increase production and easy isolation methods. In general, phycocyanin production in cells depends on the light conditions, among other factors during the cultivation period. The focus of this study was to look at the effect of different light intensities on phycocyanin production in Spirulina platensis. Other cellular biochemical parameters, including chlorophyll content and protein, were explored under the different treatments. An experimental design containing 4 different light intensities of 20, 150, 300 and 600 μmol photons m2/s was administered with 3 replicates. The results obtained from the study showed that high phycocyanin content was obtained from a low light intensity treatment. Chlorophyll results were a bit in contrary to the results obtained for phycocyanin, with high chlorophyll content obtained in high light intensity treatments. Protein and biomass accumulation also followed the same trend, where they were observed to be higher in high light intensities, with the maximum biomass achieved at 600 μmol photons m2/s and maximum protein content achieved at 300 μmol photons m2/s. Due to the commercial potential of phycocyanin to humans, its low cost downstream cultivation and processing of Spirulina platensis will be of economic advantage to the relevant stakeholders to fulfil the rampant demands and affordability of the blue phycocyanin pigment to both first and third World countries, hence the need of producing phycocyanin using the modified Zarouk’s media which has cheaper if not affordable ingredients.

Collected blue-green algae (cyanobacteria) from freshwater sites throughout Tokat province and its outlying areas were isolated in laboratory environment and their morphological systematics were determined and also their species identifications were studied by molecular methods. Seven different species of blue-green algae collected from seven different sites were isolated by purifying in cultures in laboratory environment. DNA extractions were made from isolated cells and extracted DNAs were amplified by using PCR. Cyanobacteria specific primers were used to amplify 16S rRNA and phycocyanine gene regions using PCR. Phylogenetic identification of species were conducted by evaluation of obtained sequence analysis data by using computer software. According to species identification by sequence analysis, it was seen that molecular data supports morphological systematics.