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A framework for accelerated phototrophic bioprocess development: integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, January 2017
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Title
A framework for accelerated phototrophic bioprocess development: integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design
Published in
Biotechnology for Biofuels and Bioproducts, January 2017
DOI 10.1186/s13068-017-0711-6
Pubmed ID
Authors

Holger Morschett, Lars Freier, Jannis Rohde, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges

Abstract

Even though microalgae-derived biodiesel has regained interest within the last decade, industrial production is still challenging for economic reasons. Besides reactor design, as well as value chain and strain engineering, laborious and slow early-stage parameter optimization represents a major drawback. The present study introduces a framework for the accelerated development of phototrophic bioprocesses. A state-of-the-art micro-photobioreactor supported by a liquid-handling robot for automated medium preparation and product quantification was used. To take full advantage of the technology's experimental capacity, Kriging-assisted experimental design was integrated to enable highly efficient execution of screening applications. The resulting platform was used for medium optimization of a lipid production process using Chlorella vulgaris toward maximum volumetric productivity. Within only four experimental rounds, lipid production was increased approximately threefold to 212 ± 11 mg L(-1) d(-1). Besides nitrogen availability as a key parameter, magnesium, calcium and various trace elements were shown to be of crucial importance. Here, synergistic multi-parameter interactions as revealed by the experimental design introduced significant further optimization potential. The integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design proved to be a fruitful tool for the accelerated development of phototrophic bioprocesses. By means of the proposed technology, the targeted optimization task was conducted in a very timely and material-efficient manner.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Germany 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 6 13%
Researcher 5 11%
Professor 4 9%
Student > Doctoral Student 4 9%
Other 7 15%
Unknown 11 23%
Readers by discipline Count As %
Engineering 9 19%
Agricultural and Biological Sciences 6 13%
Chemical Engineering 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Economics, Econometrics and Finance 3 6%
Other 7 15%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#996
of 1,578 outputs
Outputs of similar age
#269,316
of 424,113 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#32
of 48 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% 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 424,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.