Nature Communications (Jan 2022)

Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity

  • Bin Long,
  • Bart Fischer,
  • Yining Zeng,
  • Zoe Amerigian,
  • Qiang Li,
  • Henry Bryant,
  • Man Li,
  • Susie Y. Dai,
  • Joshua S. Yuan

DOI
https://doi.org/10.1038/s41467-021-27665-y
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Growth limitation caused by mutual shading and the high harvest cost hamper algal biofuel production. Here, the authors overcome these two problems by designing a semi-continuous algal cultivation system and an aggregation-based sedimentation strategy to achieve high levels production of biomass and limonene.