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Comprehensive lipid profiling in the Mediterranean mussel (Mytilus galloprovincialis) using hyphenated and multidimensional chromatography techniques coupled to mass spectrometry detection

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2018
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38 Mendeley
Title
Comprehensive lipid profiling in the Mediterranean mussel (Mytilus galloprovincialis) using hyphenated and multidimensional chromatography techniques coupled to mass spectrometry detection
Published in
Analytical & Bioanalytical Chemistry, April 2018
DOI 10.1007/s00216-018-1045-3
Pubmed ID
Authors

Paola Donato, Giuseppe Micalizzi, Marianna Oteri, Francesca Rigano, Danilo Sciarrone, Paola Dugo, Luigi Mondello

Abstract

The task of lipid analysis and profiling is taking centre stage in many research fields and as a consequence, there has been an intense effort to develop suitable methodologies to discover, identify, and quantify lipids in the systems investigated. Given the high complexity and diversity of the lipidome, researchers have been challenged to afford thorough knowledge of all the lipid species in a given sample, by gathering the data obtained by complementary analytical techniques. In this research, an "omic" approach was developed to quickly fingerprint lipids in the Mediterranean mussel (Mytilus galloprovincialis), by exploiting multidimensional and hyphenated techniques. In detail, two-dimensional comprehensive hydrophilic interaction liquid chromatography coupled to reversed-phase liquid chromatography afforded both class-type separation and lipid assignment within the total lipid species in the sample, by the coupling of a 2.1-mm I.D. partially porous stationary phase in the first dimension, to a short (50 mm) monodisperse octadecylsilica secondary column; individual molecular species were afterwards identified by means of their ion trap-time of flight mass spectra obtained by electrospray ionization. More than 200 neutral and polar lipids were identified, and among the latter, phosphatydylcholine and phosphatydylethanolamine were the most represented classes, together with their mono-acylated forms, plasmanyl and plasmenyl derivatives. Subsequently, separation of the saturated and unsaturated isomers of the fatty acids (including the saturated C16:0 and the polyunsaturated C22:6) in the offline collected phospholipid fractions was accomplished by gas chromatography analysis of the corresponding methyl esters, on a 200 m × 0.25 mm, 0.2 μm d f ionic liquid column.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Postgraduate 5 13%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 7 18%
Unknown 8 21%
Readers by discipline Count As %
Chemistry 13 34%
Environmental Science 4 11%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 2 5%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 August 2018.
All research outputs
#14,541,990
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,322
of 9,619 outputs
Outputs of similar age
#168,866
of 340,618 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#47
of 173 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 340,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.