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Quantitation of carbohydrate monomers and dimers by liquid chromatography coupled with high-resolution mass spectrometry

Overview of attention for article published in Carbohydrate Research, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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9 X users
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3 patents

Citations

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15 Dimensions

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36 Mendeley
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Title
Quantitation of carbohydrate monomers and dimers by liquid chromatography coupled with high-resolution mass spectrometry
Published in
Carbohydrate Research, August 2018
DOI 10.1016/j.carres.2018.08.007
Pubmed ID
Authors

Krista A Barzen-Hanson, Rebecca A Wilkes, Ludmilla Aristilde

Abstract

As remnants of plant wastes or plant secretions, carbohydrates are widely found in various environmental matrices. Carbohydrate-containing feedstocks represent important carbon sources for engineered bioproduction of commodity compounds. Routine monitoring and quantitation of heterogenous carbohydrate mixtures requires fast, accurate, and precise analytical methods. Here we present two methods to quantify carbohydrates mixtures by coupling hydrophilic interaction liquid chromatography with electrospray ionization high-resolution mass spectrometry. Method 1 was optimized for eleven different carbohydrates: three pentoses (ribose, arabinose, xylose), three hexoses (glucose, fructose, mannose), and five dimers (sucrose, cellobiose, maltose, trehalose, lactose). Method 1 can monitor these carbohydrates simultaneously, except in the case of co-elution of xylose/arabinose and lactose/maltose/cellobiose peaks. Using the same stationary and mobile phases as in Method 1, Method 2 was developed to separate glucose and galactose, which were indistinguishable in Method 1. Both methods have low limits of detection (0.019-0.40 μM) and quantification (0.090-1.3 μM), good precision (2.4-13%) except sucrose (18%), and low mass error (0.0-2.4 ppm). Method 1 was robust at analyzing high ionic strength solutions, but a moderate matrix effect was observed. Finally, we apply Method 1 to track concurrently the extracellular depletion of five carbohydrates (xylose, glucose, fructose, mannose, and maltose) by Pseudomonas protegens Pf-5, a biotechnologically-important soil bacterial species.

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X Demographics

The data shown below were collected from the profiles of 9 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Student > Master 4 11%
Researcher 4 11%
Other 4 11%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Chemistry 7 19%
Biochemistry, Genetics and Molecular Biology 5 14%
Business, Management and Accounting 1 3%
Physics and Astronomy 1 3%
Other 5 14%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 February 2024.
All research outputs
#3,276,353
of 25,385,509 outputs
Outputs from Carbohydrate Research
#82
of 5,020 outputs
Outputs of similar age
#62,483
of 341,405 outputs
Outputs of similar age from Carbohydrate Research
#1
of 41 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,020 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 341,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.