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Towards microalgal triglycerides in the commodity markets

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, July 2017
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Article details
Title
Towards microalgal triglycerides in the commodity markets
Published in
Biotechnology for Biofuels and Bioproducts, July 2017
DOI 10.1186/s13068-017-0873-2
Pubmed ID
Authors
Abstract

Microalgal triglycerides (TAGs) hold great promise as sustainable feedstock for commodity industries. However, to determine research priorities and support business decisions, solid techno-economic studies are essential. Here, we present a techno-economic analysis of two-step TAG production (growth reactors are operated in continuous mode such that multiple batch-operated stress reactors are inoculated and harvested sequentially) for a 100-ha plant in southern Spain using vertically stacked tubular photobioreactors. The base case is established with outdoor pilot-scale data and based on current process technology. For the base case, production costs of 6.7 € per kg of biomass containing 24% TAG (w/w) were found. Several scenarios with reduced production costs were then presented based on the latest biological and technological advances. For instance, much effort should focus on increasing the photosynthetic efficiency during the stress and growth phases, as this is the most influential parameter on production costs (30 and 14% cost reduction from base case). Next, biological and technological solutions should be implemented for a reduction in cooling requirements (10 and 4.5% cost reduction from base case when active cooling is avoided and cooling setpoint is increased, respectively). When implementing all the suggested improvements, production costs can be decreased to 3.3 € per kg of biomass containing 60% TAG (w/w) within the next 8 years. With our techno-economic analysis, we indicated a roadmap for a substantial cost reduction. However, microalgal TAGs are not yet cost efficient when compared to their present market value. Cost-competiveness strictly relies on the valorization of the whole biomass components and on cheaper PBR designs (e.g. plastic film flat panels). In particular, further research should focus on the development and commercialization of PBRs where active cooling is avoided and stable operating temperatures are maintained by the water basin in which the reactor is placed.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Student > Master 13 15%
Researcher 10 11%
Professor 4 5%
Other 3 3%
Other 9 10%
Unknown 32 37%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 15%
Environmental Science 9 10%
Chemical Engineering 6 7%
Biochemistry, Genetics and Molecular Biology 6 7%
Engineering 5 6%
Other 9 10%
Unknown 39 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2019.
All research outputs
#23,325,568
of 34,404,538 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,492
of 2,025 outputs
Outputs of similar age
#211,824
of 335,915 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#40
of 55 outputs
Altmetric has tracked 34,404,538 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,025 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.