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Microfluidic Separation Coupled to Mass Spectrometry for Quantification of Peanut Allergens in a Complex Food Matrix

Overview of attention for article published in Journal of Proteome Research, October 2017
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Article details
Title
Microfluidic Separation Coupled to Mass Spectrometry for Quantification of Peanut Allergens in a Complex Food Matrix
Published in
Journal of Proteome Research, October 2017
DOI 10.1021/acs.jproteome.7b00714
Pubmed ID
Authors
Abstract

Peanut is an important food allergen but cannot currently be reliably detected and quantified in processed foods at low levels. Three mg protein/Kg is increasingly being used as a reference dose above which precautionary allergen labeling (PAL) is applied to food products. Two exemplar matrices (chocolate dessert and chocolate bar) were prepared and incurred at 0, 3, 10 or 50 mg/Kg peanut protein using a commercially available lightly roasted peanut flour ingredient. After simple buffer extraction employing an acid labile detergent, multiple reaction monitoring (MRM) experiments were used to assess matrix effects on detection of a set of seven peptide targets derived from peanut allergens using either conventional or microfluidic chromatographic separation prior to mass spectrometry. Microfluidic separation provided greater sensitivity and increased ionisation efficiency at low levels. Individual monitored transitions were detected in consistent ratios across the dilution series performed, independent of matrix. The peanut protein content of each sample was then determined using ELISA and the optimised MRM method. Whilst other peptide targets were detected with three transitions at the 50 mg/Kg peanut protein level in both matrices, only Arah2(Q6PSU2)147-155 could quantify reliably, and only in the chocolate dessert at 10 mg/Kg peanut protein. Recoveries were consistent with ELISA analysis returning around 30-50% of the incurred dose. MS coupled with microfluidic separation shows great promise as a complementary analytical tool for allergen detection and quantification in complex foods using simple extraction methodology.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Bachelor 6 13%
Researcher 6 13%
Professor 2 4%
Student > Master 1 2%
Other 4 9%
Unknown 17 36%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 12 26%
Chemistry 5 11%
Biochemistry, Genetics and Molecular Biology 4 9%
Medicine and Dentistry 3 6%
Physics and Astronomy 1 2%
Other 2 4%
Unknown 20 43%
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 30 November 2017.
All research outputs
#14,085,315
of 23,008,860 outputs
Outputs from Journal of Proteome Research
#3,775
of 6,061 outputs
Outputs of similar age
#175,667
of 328,608 outputs
Outputs of similar age from Journal of Proteome Research
#58
of 120 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,061 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 35th percentile – i.e., 35% 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 328,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.