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Effects of light intensity on biomass, carbohydrate and fatty acid compositions of three different mixed consortia from natural ecological water bodies

  • Gopalakrishnan Kumar
  • , Dinh Duc Nguyen
  • , Menghour Huy
  • , Periyasamy Sivagurunathan
  • , Péter Bakonyi
  • , Guangyin Zhen
  • , Takuro Kobayashi*
  • , Kai Qin Xu
  • , Nándor Nemestóthy
  • , Soon Woong Chang
  • *Corresponding author for this work
  • Ton Duc Thang University
  • Kyonggi University
  • Daegu University
  • Inha University
  • University of Pannonia
  • National Institute for Environmental Studies of Japan
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigated the effect of light intensity on three various microalga consortia collected from natural ecological water bodies (named A, B and C) towards their fatty acid profiling and fractions, carbohydrate and protein production at different light intensities of 100, 200 and 300 μmol m−2 s−1. The results indicating that increasing light intensity positively correlated with the lipid production than carbohydrate and protein. Irrespective to the solids (Total and Volatile Solid) content, lipids and carbohydrate has varied significantly. Consortia C showed higher productivity toward lipids, whereas consortia A and B accumulated more carbohydrate and protein, respectively. The microscopic images revealed the breakdown of cells during the increase in light intensity, in spite, the similar algal species were observed in all consortia experimented. Principal component analysis (PCA) revealed that low light intensity aid relatively in high protein, Total Nitrogen and Total Phosphorus, meanwhile high intensity attributed carbohydrates and unsaturated fatty acids (USFA) contents.

Original languageEnglish
Pages (from-to)293-300
Number of pages8
JournalJournal of Environmental Management
Volume230
DOIs
StatePublished - 15 Jan 2019

Keywords

  • Light intensity
  • Lipid
  • Mixed microalgae consortia
  • Principal component analysis (PCA)
  • USFA

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