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Quantification of sialic acids in red meat by UPLC-FLD using indoxylsialosides as internal standards

Overview of attention for article published in Glycoconjugate Journal, March 2016
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Title
Quantification of sialic acids in red meat by UPLC-FLD using indoxylsialosides as internal standards
Published in
Glycoconjugate Journal, March 2016
DOI 10.1007/s10719-016-9659-1
Pubmed ID
Authors

Hong L. Yao, Louis P. Conway, Mao M. Wang, Kun Huang, Li Liu, Josef Voglmeir

Abstract

Herein we describe a UPLC-FLD-based method for the quantification of the sialic acid content of red meat, using a synthetic neuraminic acid derivative as an internal standard. X-Gal-α-2,6-N-propionylneuraminic acid was synthesized via a chemoenzymatic pathway and its hydrolytic stability was characterized. Known quantities of this compound were incubated with samples of red meat under sialic acid-releasing conditions. The released sialic acids were derivatized, analyzed by UPLC-FLD, and the Neu5Ac/Neu5Gc content of the meat sample was determined by comparison with the internal standard. A number of red meats were analyzed by this method with the following results (Neu5Ac μg/g tissue, Neu5Gc μg/g tissue ± s.d.): pork (68 ± 3, 15.2 ± 0.7), beef (69 ± 8, 36 ± 5), lamb (46 ± 2, 33 ± 1), rabbit (59 ± 2, 0.4 ± 0.4), and hare (50 ± 4, 1 ± 1). We envisage that this methodology will find application in investigating the health effects of dietary Neu5Gc. Graphical abstract ᅟ.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Professor 1 5%
Student > Master 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 8 40%
Readers by discipline Count As %
Chemistry 6 30%
Biochemistry, Genetics and Molecular Biology 3 15%
Agricultural and Biological Sciences 2 10%
Psychology 1 5%
Unknown 8 40%
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 14 March 2016.
All research outputs
#15,090,466
of 25,371,288 outputs
Outputs from Glycoconjugate Journal
#619
of 929 outputs
Outputs of similar age
#155,914
of 314,366 outputs
Outputs of similar age from Glycoconjugate Journal
#9
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 929 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 33rd percentile – i.e., 33% 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 314,366 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.