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Bioprocess Biosyst Eng. 2018 Sep;41(9):1295-1303. doi: 10.1007/s00449-018-1957-5. Epub 2018 May 28.

A systematic correlation analysis of carotenoids, chlorophyll, non-pigmented cell mass, and cell number for the blueprint of Dunaliella salina culture in a photobioreactor.

Author information

1
Department of Biological Engineering, Inha University, Incheon, South Korea.
2
Department of Biological Engineering, Inha University, Incheon, South Korea. hsshin@inha.ac.kr.

Abstract

Microalgal carotenoids are attractive health ingredients, but their production should be optimized to improve cost-effectiveness. Understanding cellular physiology centered on carotenoid synthesis is the prerequisite for this work. Therefore, systematic correlation analyses were conducted among chlorophyll, carotenoids, non-pigmented cell mass, and cell number of Dunaliella salina in a specified condition over a relatively long culture time. First, an integrated correlation was performed: a temporal profile of the carotenoids was correlated with those of other factors, including chlorophyll, non-pigmented cell mass, and cell number. Pearson and Spearman correlation analyses were performed to identify linearity and monotonicity of the correlation, respectively, and then cross-correlation was executed to determine if the correlation had a time lag. Second, to understand the cellular potential of metabolism, the procedure was repeated to provide a data set composed of the specific synthesis rates of the factors or growth rate, which additionally provided kinetic correlations among the constituting components of the cell, excluding the effect of cell number. This systematic approach could generate a blueprint model that is composed of only what it needs, which could make it possible to efficiently control and optimize the process.

KEYWORDS:

Carotinoid; Correlation; Cross-correlation; Dunaliella salina; Microalgae

PMID:
29808420
DOI:
10.1007/s00449-018-1957-5
[Indexed for MEDLINE]

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