Issue 6, 2023

Optimization of Pavlova gyrans biomass production and the fatty acid profile using a two-step approach

Abstract

This work aimed to optimize and characterize the biomass production of Pavlova gyrans through a sequential multivariate approach. Among seventeen cultivation parameters, light intensity, NaNO3, and CuSO4·5H2O were identified as the most significative factors (p < 0.10) for biomass productivity. Together with NaH2PO4·H2O, these variables were further studied in order to maximize the biomass production of P. gyrans, with the optimum growth conditions identified as 700 μmolphotons m−2 s−1 light intensity, 1500 mg L−1 NaNO3, 6 μg L−1 CuSO4·5H2O and 40 mg L−1 NaH2PO4·H2O. These conditions allowed a 3.8-fold increase in biomass production (2.26 g AFDW per L) and improved the biochemical profile (p < 0.05) when compared with the control (Walne's medium). Namely, it was increased the contents of protein (from 10.59 to 30.76% DW), PUFAs (from 37.13 to 47.11% TFA), n − 3 FAs (26.49 to 38.27% TFA), and DHA (from 5.73 to 10.33% TFA). The nutritional value of the microalga (p < 0.05) was also improved, decreasing its atherogenic (AI – from 1.34 to 0.93) and thrombogenic (TI – from 0.45 to 0.24) indices, while the hypocholesterolemic index (HI) increased from 0.96 to 1.63. This work highlights the importance of different growth conditions in P. gyrans, playing a relevant role in the large-scale implementation of this microalga with beneficial nutritional composition for human consumption.

Graphical abstract: Optimization of Pavlova gyrans biomass production and the fatty acid profile using a two-step approach

Supplementary files

Article information

Article type
Paper
Submitted
19 Jul 2023
Accepted
12 Sep 2023
First published
25 Sep 2023
This article is Open Access
Creative Commons BY license

Sustainable Food Technol., 2023,1, 850-862

Optimization of Pavlova gyrans biomass production and the fatty acid profile using a two-step approach

F. Maciel, D. Couto, P. Geada, H. Pereira, J. Teixeira, M. R. Domingues, J. Silva and A. Vicente, Sustainable Food Technol., 2023, 1, 850 DOI: 10.1039/D3FB00110E

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