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

Autor: Long B; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA., Fischer B; Department of Agricultural Economics, Texas A&M University, College Station, TX, 77843, USA., Zeng Y; Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA., Amerigian Z; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA., Li Q; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA., Bryant H; Department of Agricultural Economics, Texas A&M University, College Station, TX, 77843, USA., Li M; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.; Synthetic and Systems Biology Innovation Hub (SSBiH), Texas A&M University, College Station, TX, 77843, USA., Dai SY; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.; Synthetic and Systems Biology Innovation Hub (SSBiH), Texas A&M University, College Station, TX, 77843, USA., Yuan JS; Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA. syuan@tamu.edu.; Synthetic and Systems Biology Innovation Hub (SSBiH), Texas A&M University, College Station, TX, 77843, USA. syuan@tamu.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2022 Jan 27; Vol. 13 (1), pp. 541. Date of Electronic Publication: 2022 Jan 27.
DOI: 10.1038/s41467-021-27665-y
Abstrakt: Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cultivation (SAC) to sustain optimal cell growth and minimize mutual shading. An aggregation-based sedimentation (ABS) strategy is then designed to achieve low-cost biomass harvesting and economical SAC. The ABS is achieved by engineering a fast-growing strain, Synechococcus elongatus UTEX 2973, to produce limonene, which increases cyanobacterial cell surface hydrophobicity and enables efficient cell aggregation and sedimentation. SAC unleashes cyanobacterial growth potential with 0.1 g/L/hour biomass productivity and 0.2 mg/L/hour limonene productivity over a sustained period in photobioreactors. Scaling-up the SAC with an outdoor pond system achieves a biomass yield of 43.3 g/m 2 /day, bringing the minimum biomass selling price down to approximately $281 per ton.
(© 2022. The Author(s).)
Databáze: MEDLINE
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