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Optimization of biomass, vitamins, and carotenoid yield on light energy in a flat‐panel reactor using the A‐stat technique

Overview of attention for article published in Biotechnology & Bioengineering, December 2004
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Article details
Title
Optimization of biomass, vitamins, and carotenoid yield on light energy in a flat‐panel reactor using the A‐stat technique
Published in
Biotechnology & Bioengineering, December 2004
DOI 10.1002/bit.20346
Pubmed ID
Authors
Abstract

Acceleration-stat (A-stat) cultivations in which the dilution rate is continuously changed at a constant acceleration rate, leading to different average light intensities inside the photobioreactor, can supply more information and reduce experimental time compared with chemostat cultivations. The A-stat was used to optimize the biomass and product yield of continuous cultures of the microalgae D. tertiolecta in a flat-panel reactor. In this study, four different accelerations were studied, a pseudo steady state was maintained at acceleration rates of 0.00016 and 0.00029 h(-2) and results were similar to those of the chemostat. An increase in the acceleration rate led to an increase in the deviation between results obtained in the A-stat and in the chemostats. We concluded that it is advantageous to use the A-stat instead of chemostats to determine culture characteristics and optimize a specific photobioreactor. The effect of average light intensity inside the photobioreactor on the production of vitamins C and E, lutein, and beta-carotene was studied using the A-stat. The highest concentrations of these products were 3.48 +/- 0.46, 0.33 +/- 0.06, 5.65 +/- 0.24, and 2.36 +/- 0.38 mg g(-1), respectively. These results were obtained at different average light intensities, showing the importance of optimizing each product on light intensity.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 185 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 %
Netherlands 2 1%
Italy 2 1%
Estonia 2 1%
United States 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Iran, Islamic Republic of 1 <1%
Spain 1 <1%
Germany 1 <1%
Other 3 2%
Unknown 170 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 37 20%
Student > Master 30 16%
Student > Ph. D. Student 29 16%
Student > Bachelor 11 6%
Other 9 5%
Other 26 14%
Unknown 43 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 54 29%
Engineering 34 18%
Chemical Engineering 12 6%
Biochemistry, Genetics and Molecular Biology 9 5%
Environmental Science 8 4%
Other 17 9%
Unknown 51 28%
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 03 February 2014.
All research outputs
#31,336,860
of 34,517,649 outputs
Outputs from Biotechnology & Bioengineering
#7,764
of 8,234 outputs
Outputs of similar age
#209,078
of 214,693 outputs
Outputs of similar age from Biotechnology & Bioengineering
#51
of 51 outputs
Altmetric has tracked 34,517,649 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% 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 214,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.