Data on growth, productivity, pigments and proximate composition of indigenous marine microalgae isolated from Cox's Bazar Coast

Data on growth, productivity, pigments and proximate composition of the four different indigenous marine microalgae (isolated from Cox's Bazar Coast) were collected to compare the growth performance, pigments and nutritional composition. Chlorella sp., Nannochloropsis sp., Tetraselmis sp. and C...

Full description

Bibliographic Details
Main Authors: Zahidul Islam, Helena Khatoon, Tashrif Mahmud Minhaz, Mohammad Redwanur Rahman, Shanur Hasan, Yahia Mahmud, Md Shahadat Hossain, Joyshri Sarker
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235234092100144X
Description
Summary:Data on growth, productivity, pigments and proximate composition of the four different indigenous marine microalgae (isolated from Cox's Bazar Coast) were collected to compare the growth performance, pigments and nutritional composition. Chlorella sp., Nannochloropsis sp., Tetraselmis sp. and Chaetoceros sp. are the four different marine microalgae. Growth curve was determined as the prerequisite to identify the stationary phase for each of the isolated microalgae. Data on growth curves were collected in terms of cell density and optical density to observe the growth rates and division per day. Isolated species were mass cultured in commercial culture medium. When the culture reached at stationary phase, microalgae were extracted to determine productivity, pigments, and proximate composition. The data of productivity (volumetric, areal and lipid productivity), pigments (Chlorophyll a, b, c, carotenoids, and phycobiliproteins), and proximate composition (protein, lipid, and carbohydrate) were significantly (p < 0.05) different among the four different microalgae. Therefore, this data will contribute to the selection of potential microalgae species through proper characterization for vast industrializations.
ISSN:2352-3409