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Monoterpene separation by coupling proton transfer reaction time-of-flight mass spectrometry with fastGC

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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1 news outlet
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5 X users
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1 Facebook page
wikipedia
1 Wikipedia page

Citations

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25 Dimensions

Readers on

mendeley
50 Mendeley
Title
Monoterpene separation by coupling proton transfer reaction time-of-flight mass spectrometry with fastGC
Published in
Analytical & Bioanalytical Chemistry, August 2015
DOI 10.1007/s00216-015-8942-5
Pubmed ID
Authors

Dušan Materić, Matteo Lanza, Philipp Sulzer, Jens Herbig, Dan Bruhn, Claire Turner, Nigel Mason, Vincent Gauci

Abstract

Proton transfer reaction mass spectrometry (PTR-MS) is a well-established technique for real-time analysis of volatile organic compounds (VOCs). Although it is extremely sensitive (with sensitivities of up to 4500 cps/ppbv, limits of detection <1 pptv and the response times of approximately 100 ms), the selectivity of PTR-MS is still somewhat limited, as isomers cannot be separated. Recently, selectivity-enhancing measures, such as manipulation of drift tube parameters (reduced electric field strength) and using primary ions other than H3O(+), such as NO(+) and O2 (+), have been introduced. However, monoterpenes, which belong to the most important plant VOCs, still cannot be distinguished so more traditional technologies, such as gas chromatography mass spectrometry (GC-MS), have to be utilised. GC-MS is very time consuming (up to 1 h) and cannot be used for real-time analysis. Here, we introduce a sensitive, near-to-real-time method for plant monoterpene research-PTR-MS coupled with fastGC. We successfully separated and identified six of the most abundant monoterpenes in plant studies (α- and β-pinenes, limonene, 3-carene, camphene and myrcene) in less than 80 s, using both standards and conifer branch enclosures (Norway spruce, Scots pine and black pine). Five monoterpenes usually present in Norway spruce samples with a high abundance were separated even when the compound concentrations were diluted to 20 ppbv. Thus, fastGC-PTR-ToF-MS was shown to be an adequate one-instrument solution for plant monoterpene research.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 26%
Student > Master 9 18%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Researcher 3 6%
Other 7 14%
Unknown 11 22%
Readers by discipline Count As %
Environmental Science 7 14%
Chemistry 7 14%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 3 6%
Earth and Planetary Sciences 3 6%
Other 10 20%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 March 2020.
All research outputs
#2,309,170
of 25,711,518 outputs
Outputs from Analytical & Bioanalytical Chemistry
#153
of 9,724 outputs
Outputs of similar age
#28,712
of 276,516 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#2
of 187 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,724 research outputs from this source. They receive a mean Attention Score of 3.1. 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 276,516 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 89% of its contemporaries.
We're also able to compare this research output to 187 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 98% of its contemporaries.