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Quantification and profiling of lipophilic marine toxins in microalgae by UHPLC coupled to high-resolution orbitrap mass spectrometry

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2015
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Title
Quantification and profiling of lipophilic marine toxins in microalgae by UHPLC coupled to high-resolution orbitrap mass spectrometry
Published in
Analytical & Bioanalytical Chemistry, April 2015
DOI 10.1007/s00216-015-8637-y
Pubmed ID
Authors

Gabriel Orellana, Lieven Van Meulebroek, Sarah Van Vooren, Maarten De Rijcke, Michiel Vandegehuchte, Colin R. Janssen, Lynn Vanhaecke

Abstract

During the last decade, a significant increase in the occurrence of harmful algal blooms (HABs), linked to repetitive cases of shellfish contamination has become a public health concern and therefore, accurate methods to detect marine toxins in different matrices are required. In this study, we developed a method for profiling lipophilic marine microalgal toxins based on ultra-high-performance liquid chromatography coupled to high-resolution Orbitrap mass spectrometry (UHPLC-HR-Orbitrap MS). Extraction of selected toxins (okadaic acid (OA), dinophysistoxin-1 (DTX-1), pectenotoxin-2 (PTX-2), azaspiracid-1 (AZA-1), yessotoxin (YTX) and 13-desmethyl spirolide C (SPX-1)) was optimized using a Plackett-Burman design. Three key algal species, i.e., Prorocentrum lima, Protoceratium reticulatum and Alexandrium ostenfeldii were used to test the extraction efficiency of OA, YTXs and SPXs, respectively. Prorocentrum micans, fortified with certified reference solutions, was used for recovery studies. The quantitative and confirmatory performance of the method was evaluated according to CD 2002/657/EC. Limits of detection and quantification ranged between 0.006 and 0.050 ng mL(-1) and 0.018 to 0.227 ng mL(-1), respectively. The intra-laboratory reproducibility ranged from 6.8 to 11.7 %, repeatability from 6.41 to 11.5 % and mean corrected recoveries from 81.9 to 119.6 %. In addition, algae cultures were retrospectively screened for analogues and metabolites through a homemade database. Using the ToxID software programme, 18 toxin derivates were detected in the extract of three toxin producing microalgae species. In conclusion, the generic extraction and full-scan HRMS approach offers an excellent quantitative performance and simultaneously allows to profile analogues and metabolites of marine toxins in microalgae.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Norway 1 2%
Canada 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Master 9 22%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 3 7%
Lecturer 2 5%
Other 5 12%
Unknown 5 12%
Readers by discipline Count As %
Chemistry 14 34%
Environmental Science 5 12%
Agricultural and Biological Sciences 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Engineering 2 5%
Other 4 10%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 August 2015.
All research outputs
#15,890,477
of 25,604,262 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,787
of 9,678 outputs
Outputs of similar age
#146,766
of 280,428 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#42
of 180 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,678 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% 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 280,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.