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Fig. 1 | BMC Biotechnology

Fig. 1

From: Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803

Fig. 1

Growth and pigment production analysis in Synechocystis sp. PCC 6803 under control photoautotrophic conditions. a) Growth of Synechocystis sp. PCC 6803 for 24 h with control photoautotrophic conditions (50 µmol photons/m2/s light at 28℃) in different nitrogen sources, b), c), and d) chlorophyll a, carotenoids, and phycocyanin content of Synechocystis sp. PCC 6803 in different nitrogen sources- nitrate (N), urea (U) and ammonium chloride (A) under photoautotrophic condition. Data was represented as the means of error bars which indicates the standard deviations (± SD) of biological and experimental triplicates

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BMC Biotechnology

ISSN: 1472-6750

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