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Identification of Characteristic Fatty Acids to Quantify Triacylglycerols in Microalgae

Overview of attention for article published in Frontiers in Plant Science, February 2016
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Title
Identification of Characteristic Fatty Acids to Quantify Triacylglycerols in Microalgae
Published in
Frontiers in Plant Science, February 2016
DOI 10.3389/fpls.2016.00162
Pubmed ID
Authors

Pei-Li Shen, Hai-Tao Wang, Yan-Fei Pan, Ying-Ying Meng, Pei-Chun Wu, Song Xue

Abstract

The fatty acid profiles of lipids from microalgae are unique. Polyunsaturated fatty acids are generally enriched in polar lipids, whereas saturated and monounsaturated fatty acids constitute the majority of fatty acids in triacylglycerols (TAG). Each species has characteristic fatty acids, and their content is positively or negatively correlated with TAGs. The marine oleaginous diatom Phaeodactylum tricornutum was used as the paradigm to determine the quantitative relationship between TAG and characteristic fatty acid content. Fatty acid profiles and TAG content of Phaeodactylum tricornutum were determined in a time course. C16:0/C16:1 and eicosapentaenoic acid (EPA, C20:5n3) were identified as characteristic fatty acids in TAGs and polar lipids, respectively. The percentage of those characteristic fatty acids in total fatty acids had a significant linear relationship with TAG content, and thus, the correlation coefficient presenting r (2) were 0.96, 0.94, and 0.97, respectively. The fatty acid-based method for TAG quantification could also be applied to other microalgae such as Nannochloropsis oceanica in which the r (2) of C16:0 and EPA were 0.94 and 0.97, respectively, and in Chlorella pyrenoidosa r (2)-values for C18:1 and C18:3 with TAG content were 0.91 and 0.99, repectively. This characteristic fatty acid-based method provided a distinct way to quantify TAGs in microalgae, by which TAGs could be measured precisely by immediate transesterification from wet biomass rather than using conventional methods. This procedure simplified the operation and required smaller samples than conventional methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 105 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Student > Bachelor 16 15%
Student > Master 11 10%
Researcher 9 8%
Student > Doctoral Student 6 6%
Other 9 8%
Unknown 31 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 23%
Agricultural and Biological Sciences 19 18%
Chemical Engineering 9 8%
Environmental Science 4 4%
Engineering 4 4%
Other 13 12%
Unknown 33 31%
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 22 February 2016.
All research outputs
#20,310,658
of 22,851,489 outputs
Outputs from Frontiers in Plant Science
#16,085
of 20,193 outputs
Outputs of similar age
#252,301
of 298,740 outputs
Outputs of similar age from Frontiers in Plant Science
#356
of 481 outputs
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