From sugars to biodiesel using microalgae and yeast

The economic production of algal biofuels requires novel strategies, such as microbial consortia and synthetic ecologies, to boost the productivity of open pond systems. These strategies have not been fully explored partly due to the lack of reliable and predictive process models. This study uses ge...

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Main Authors: Barton, Paul I., Gomez, Jose Alberto, Hoeffner, Kai
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:en_US
Published: Royal Society of Chemistry 2016
Online Access:http://hdl.handle.net/1721.1/101915
https://orcid.org/0000-0001-8964-8433
https://orcid.org/0000-0003-2895-9443
https://orcid.org/0000-0002-6106-7861
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author Barton, Paul I.
Gomez, Jose Alberto
Hoeffner, Kai
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Barton, Paul I.
Gomez, Jose Alberto
Hoeffner, Kai
author_sort Barton, Paul I.
collection MIT
description The economic production of algal biofuels requires novel strategies, such as microbial consortia and synthetic ecologies, to boost the productivity of open pond systems. These strategies have not been fully explored partly due to the lack of reliable and predictive process models. This study uses genome-based metabolic networks to build a process model of a raceway pond. This process model is used as a discovery tool for novel process strategies. First, an algal monoculture with flue gas sparging is modeled. Then, an oleaginous yeast monoculture is modeled. The yeast monoculture is O[subscript 2] limited and the presence of algae in the culture would result in better resource utilization. Next, an algal/fungal raceway pond with a feed of cellulosic glucose is explored. Finally, an oleaginous yeast that can consume a glucose/xylose mix, resulting from the hydrolysis of lignocellulosic waste, is modeled. This model predicts biomass and lipids productivities comparable to those reported in the literature. Assuming 50% yield loss due to contamination and invasion, a simple economic analysis shows that an algae/yeast coculture can produce biodiesel at competitive prices, $2.01 per liter for pure glucose and $1.44 per liter for the sugar mix, whereas the algae monoculture can do so only at very short distances from a flue gas source. This modeling framework will enable the use of optimization algorithms in the design of open pond systems in the near future and will allow the exploration of novel strategies in bioprocesses employing microbial communities.
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spelling mit-1721.1/1019152022-09-26T14:27:30Z From sugars to biodiesel using microalgae and yeast Barton, Paul I. Gomez, Jose Alberto Hoeffner, Kai Massachusetts Institute of Technology. Department of Chemical Engineering Gomez, Jose Alberto Hoeffner, Kai Barton, Paul I. The economic production of algal biofuels requires novel strategies, such as microbial consortia and synthetic ecologies, to boost the productivity of open pond systems. These strategies have not been fully explored partly due to the lack of reliable and predictive process models. This study uses genome-based metabolic networks to build a process model of a raceway pond. This process model is used as a discovery tool for novel process strategies. First, an algal monoculture with flue gas sparging is modeled. Then, an oleaginous yeast monoculture is modeled. The yeast monoculture is O[subscript 2] limited and the presence of algae in the culture would result in better resource utilization. Next, an algal/fungal raceway pond with a feed of cellulosic glucose is explored. Finally, an oleaginous yeast that can consume a glucose/xylose mix, resulting from the hydrolysis of lignocellulosic waste, is modeled. This model predicts biomass and lipids productivities comparable to those reported in the literature. Assuming 50% yield loss due to contamination and invasion, a simple economic analysis shows that an algae/yeast coculture can produce biodiesel at competitive prices, $2.01 per liter for pure glucose and $1.44 per liter for the sugar mix, whereas the algae monoculture can do so only at very short distances from a flue gas source. This modeling framework will enable the use of optimization algorithms in the design of open pond systems in the near future and will allow the exploration of novel strategies in bioprocesses employing microbial communities. 2016-03-30T14:31:38Z 2016-03-30T14:31:38Z 2015-09 2015-08 Article http://purl.org/eprint/type/JournalArticle 1463-9262 1463-9270 http://hdl.handle.net/1721.1/101915 Gomez, Jose A., Kai Hoffner, and Paul I. Barton. “From Sugars to Biodiesel Using Microalgae and Yeast.” Green Chem. 18, no. 2 (2016): 461–475. © 2016 Royal Society of Chemistry https://orcid.org/0000-0001-8964-8433 https://orcid.org/0000-0003-2895-9443 https://orcid.org/0000-0002-6106-7861 en_US http://dx.doi.org/10.1039/C5GC01843A Green Chemistry Creative Commons Attribution-NonCommercial 3.0 Unported licence http://creativecommons.org/licenses/by-nc/3.0/ application/pdf Royal Society of Chemistry Royal Society of Chemistry
spellingShingle Barton, Paul I.
Gomez, Jose Alberto
Hoeffner, Kai
From sugars to biodiesel using microalgae and yeast
title From sugars to biodiesel using microalgae and yeast
title_full From sugars to biodiesel using microalgae and yeast
title_fullStr From sugars to biodiesel using microalgae and yeast
title_full_unstemmed From sugars to biodiesel using microalgae and yeast
title_short From sugars to biodiesel using microalgae and yeast
title_sort from sugars to biodiesel using microalgae and yeast
url http://hdl.handle.net/1721.1/101915
https://orcid.org/0000-0001-8964-8433
https://orcid.org/0000-0003-2895-9443
https://orcid.org/0000-0002-6106-7861
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