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Predictive modeling of β-carotene accumulation by Dunaliella salina as a function of pH, NaCI, and irradiance

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Abstract

Predictive modeling of β-carotene accumulation by Dunaliella salina as a function of NaCI, pH, and irradiance was studied. Modified Logistic, Gompertz, Schnute, Richards, and Stannard models were fitted to describe β-carotene accumulation by the alga under various environmental conditions. Lag time (λ, days), maximum accumulation (A, pg/cell), and the maximum production rate (μ, 1/day) for β-carotene accumulation were calculated by modified Logistic and Gompertz models. Values of λ, A, and μ for β-carotene accumulation varied between 0.26 and 20.14 days, 57.48 to 198.76 pg β-carotene/cell, and 1.80 to 3.68 1/day, respectively. Results revealed that Logistic and Gompertz models could be used to describe the accumulation of β-carotene by D. salina as a function of salt concentrations, pH, and irradiance. The highest asymptotic value was predicted from Logistic and Gompertz models at pH 9.0, 48 kerg/(cm2 s) light intensity, and 20% NaCl concentration.

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Authors and Affiliations

  1. Department of Biology, Faculty of Art and Science, University of Gaziantep, 27310, Gaziantep, Turkey

    A. Çelekli

  2. Department of Food Engineering, Faculty of Engineering, University of Gaziantep, 27310, Gaziantep, Turkey

    H. Bozkurt

  3. Department of Biology, Faculty of Science and Engineering, University of Ankara, 06100, Tandoǧan, Ankara, Turkey

    G. Dönmez

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  1. A. Çelekli
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  2. H. Bozkurt
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  3. G. Dönmez
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Correspondence to A. Çelekli.

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Çelekli, A., Bozkurt, H. & Dönmez, G. Predictive modeling of β-carotene accumulation by Dunaliella salina as a function of pH, NaCI, and irradiance. Russ J Plant Physiol 61, 215–223 (2014). https://doi.org/10.1134/S1021443714010038

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