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A new approach for detection and quantification of microalgae in industrial-scale microalgal cultures

Overview of attention for article published in Applied Microbiology and Biotechnology, August 2018
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Title
A new approach for detection and quantification of microalgae in industrial-scale microalgal cultures
Published in
Applied Microbiology and Biotechnology, August 2018
DOI 10.1007/s00253-018-9268-y
Pubmed ID
Authors

Peter Beatrice-Lindner, Jose Antonio Garrido-Cardenas, Claudia Sepulveda, Francisco Gabriel Acien-Fernandez

Abstract

In industrial-scale microalgal cultures, non-target microalgae compete with the desired species for nutrients and CO2, thus reducing the growth rate of the target species and the quality of the produced biomass. Microalgae identification is generally considered a complicated issue; although, in the last few years, new molecular methods have helped to rectify this problem. Among the different techniques available, DNA barcoding has proven very useful in providing rapid, accurate, and automatable species identification; in this work, it is used to assess the genomic identity of the microalga species Scenedesmus sp. 'almeriensis', a common strain in industrial-scale cultures. Barcode markers rbcL and ITS1-5.8S-ITS2 were sequenced and the obtained genomic information was used to design a quantitative PCR assay to precisely quantify the S. almeriensis concentration in microalgal cultures of industrial interest. TaqMan chemistry was used to quantify down to 1 μg/L dry weight of S. almeriensis cells, including in the presence of concentrated mixed cultures of other microalgae. A simple direct qPCR approach was also investigated to avoid classic DNA extraction and to reduce total assay time to approximately 2 h. The objective was to design strain-specific tools able to confirm and quantify the presence of different strains in whatever microalgae culture so as to achieve maximal productivity and quality of the produced biomass.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Researcher 6 14%
Student > Bachelor 5 12%
Student > Master 4 9%
Professor > Associate Professor 2 5%
Other 4 9%
Unknown 11 26%
Readers by discipline Count As %
Environmental Science 6 14%
Agricultural and Biological Sciences 6 14%
Biochemistry, Genetics and Molecular Biology 6 14%
Engineering 4 9%
Energy 2 5%
Other 5 12%
Unknown 14 33%
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 04 August 2018.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
of 8,034 outputs
Outputs of similar age
#258,676
of 334,799 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#88
of 138 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.