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Towards metal–organic framework based field effect chemical sensors: UiO-66-NH2 for nerve agent detection

Overview of attention for article published in Chemical Science, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 8,188)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
24 news outlets
blogs
1 blog
twitter
8 tweeters
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
123 Mendeley
Summary News Blogs Twitter Patents Wikipedia Dimensions citations
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Title
Towards metal–organic framework based field effect chemical sensors: UiO-66-NH2 for nerve agent detection
Published in
Chemical Science, January 2016
DOI 10.1039/c6sc00987e
Pubmed ID
30034722
Authors

I. Stassen, B. Bueken, H. Reinsch, J. F. M. Oudenhoven, D. Wouters, J. Hajek, V. Van Speybroeck, N. Stock, P. M. Vereecken, R. Van Schaijk, D. De Vos, R. Ameloot

Abstract

We present a highly sensitive gas detection approach for the infamous 'nerve agent' group of alkyl phosphonate compounds. Signal transduction is achieved by monitoring the work function shift of metal-organic framework UiO-66-NH2 coated electrodes upon exposure to ppb-level concentrations of a target simulant. Using the Kelvin probe technique, we demonstrate the potential of electrically insulating MOFs for integration in field effect devices such as ChemFETs: a three orders of magnitude improvement over previous work function-based detection of nerve agent simulants. Moreover, the signal is fully reversible both in dry and humid conditions, down to low ppb concentrations. Comprehensive investigation of the interactions that lead towards this high sensitivity points towards a series of confined interactions between the analyte and the pore interior of UiO-66-NH2.

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Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Germany 1 <1%
Belgium 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 29%
Researcher 21 17%
Student > Master 19 15%
Student > Doctoral Student 8 7%
Student > Bachelor 6 5%
Other 17 14%
Unknown 16 13%
Readers by discipline Count As %
Chemistry 43 35%
Engineering 21 17%
Chemical Engineering 12 10%
Materials Science 9 7%
Physics and Astronomy 4 3%
Other 10 8%
Unknown 24 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 01 November 2022.
All research outputs
#175,282
of 23,577,654 outputs
Outputs from Chemical Science
#8
of 8,188 outputs
Outputs of similar age
#3,107
of 397,072 outputs
Outputs of similar age from Chemical Science
#1
of 469 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,188 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 99% 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 397,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 469 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 99% of its contemporaries.

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