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Quantitative and qualitative analyses of human salivary NEFA with gas-chromatography and mass spectrometry

Overview of attention for article published in Frontiers in Physiology, January 2012
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Title
Quantitative and qualitative analyses of human salivary NEFA with gas-chromatography and mass spectrometry
Published in
Frontiers in Physiology, January 2012
DOI 10.3389/fphys.2012.00328
Pubmed ID
Authors

Bhushan V. Kulkarni, Karl V. Wood, Richard D. Mattes

Abstract

Salivary non-esterified fatty acids (NEFA) are proposed to play a role in oral health, oral fat detection, and they may hold diagnostic and prognostic potential. Yet, little is known about the array and concentrations of NEFA in saliva. The aim of the study was to conduct qualitative and quantitative analyses of salivary NEFA in healthy humans and to present a new, efficient protocol to perform such analyses. Resting saliva samples from fifteen participants were collected. The salivary lipids were extracted using a modified Folch extraction. The NEFA in the extracted lipids were selectively subjected to pentafluorobenzyl bromide (PFB) derivatization and qualitatively and quantitatively analyzed using gas chromatography-mass spectrometry (GC-MS). A total of 16 NEFA were identified in resting saliva. The four major NEFA were palmitic, linoleic, oleic, and stearic acids. Their concentrations ranged from 2 to 9 μM. This is the first study to characterize individual human salivary NEFA and their respective concentrations. The method used in the study is sensitive, precise, and accurate. It is specific to fatty acids in non-esterified form and hence enables analysis of NEFA without their separation from other lipid classes. Thus, it saves time, reagents and prevents loss of sample. These properties make it suitable for large scale analysis of salivary NEFA.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Bachelor 3 13%
Student > Ph. D. Student 3 13%
Professor 2 9%
Student > Master 2 9%
Other 3 13%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 4 17%
Chemistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Sports and Recreations 1 4%
Other 1 4%
Unknown 8 35%
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 16 August 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Physiology
#9,270
of 13,467 outputs
Outputs of similar age
#221,176
of 244,088 outputs
Outputs of similar age from Frontiers in Physiology
#208
of 309 outputs
Altmetric has tracked 22,675,759 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 13,467 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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