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An integrative Raman microscopy-based workflow for rapid in situ analysis of microalgal lipid bodies.

Overview of attention for article published in Biotechnology for Biofuels, October 2015
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Title
An integrative Raman microscopy-based workflow for rapid in situ analysis of microalgal lipid bodies.
Published in
Biotechnology for Biofuels, October 2015
DOI 10.1186/s13068-015-0349-1
Pubmed ID
Authors

Sudhir K Sharma, David R Nelson, Rasha Abdrabu, Basel Khraiwesh, Kenan Jijakli, Marc Arnoux, Matthew J O’Connor, Tayebeh Bahmani, Hong Cai, Sachin Khapli, Ramesh Jagannathan, Kourosh Salehi-Ashtiani

Abstract

Oils and bioproducts extracted from cultivated algae can be used as sustainable feedstock for fuels, nutritional supplements, and other bio-based products. Discovery and isolation of new algal species and their subsequent optimization are needed to achieve economical feasibility for industrial applications. Here we describe and validate a workflow for in situ analysis of algal lipids through confocal Raman microscopy. We demonstrate its effectiveness to characterize lipid content of algal strains isolated from the environment as well as algal cells screened for increased lipid accumulation through UV mutagenesis combined with Fluorescence Activated Cell Sorting (FACS). To establish and validate our workflow, we refined an existing Raman platform to obtain better discrimination in chain length and saturation of lipids through ratiometric analyses of mixed fatty acid lipid standards. Raman experiments were performed using two different excitation lasers (λ = 532 and 785 nm), with close agreement observed between values obtained using each laser. Liquid chromatography coupled with mass spectrometry (LC-MS) experiments validated the obtained Raman spectroscopic results. To demonstrate the utility and effectiveness of the improved Raman platform, we carried out bioprospecting for algal species from soil and marine environments in both temperate and subtropical geographies to obtain algal isolates from varied environments. Further, we carried out two rounds of mutagenesis screens on the green algal model species, Chlamydomonas reinhardtii, to obtain cells with increased lipid content. Analyses on both environmental isolates and screened cells were conducted which determined their respective lipids. Different saturation states among the isolates as well as the screened C. reinhardtii strains were observed. The latter indicated the presence of cell-to cell variations among cells grown under identical condition. In contrast, non-mutagenized C. reinhardtii cells showed no significant heterogeneity in lipid content. We demonstrate the utility of confocal Raman microscopy for lipid analysis on novel aquatic and soil microalgal isolates and for characterization of lipid-expressing cells obtained in a mutagenesis screen. Raman microscopy enables quantitative determination of the unsaturation level and chain lengths of microalgal lipids, which are key parameters in selection and engineering of microalgae for optimal production of biofuels.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Researcher 18 18%
Student > Master 12 12%
Student > Bachelor 8 8%
Other 6 6%
Other 18 18%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 25%
Biochemistry, Genetics and Molecular Biology 11 11%
Engineering 9 9%
Chemical Engineering 6 6%
Materials Science 5 5%
Other 17 17%
Unknown 26 26%

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 08 October 2015.
All research outputs
#11,652,059
of 13,118,545 outputs
Outputs from Biotechnology for Biofuels
#850
of 1,003 outputs
Outputs of similar age
#207,234
of 251,182 outputs
Outputs of similar age from Biotechnology for Biofuels
#8
of 13 outputs
Altmetric has tracked 13,118,545 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 1,003 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 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.