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Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device

Overview of attention for article published in Scientific Reports, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
81 tweeters
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device
Published in
Scientific Reports, September 2017
DOI 10.1038/s41598-017-12263-0
Pubmed ID
Authors

David I. Ellis, Rebecca Eccles, Yun Xu, Julia Griffen, Howbeer Muhamadali, Pavel Matousek, Ian Goodall, Royston Goodacre

Abstract

Major food adulteration incidents occur with alarming frequency and are episodic, with the latest incident, involving the adulteration of meat from 21 producers in Brazil supplied to 60 other countries, reinforcing this view. Food fraud and counterfeiting involves all types of foods, feed, beverages, and packaging, with the potential for serious health, as well as significant economic and social impacts. In the spirit drinks sector, counterfeiters often 'recycle' used genuine packaging, or employ good quality simulants. To prove that suspect products are non-authentic ideally requires accurate, sensitive, analysis of the complex chemical composition while still in its packaging. This has yet to be achieved. Here, we have developed handheld spatially offset Raman spectroscopy (SORS) for the first time in a food or beverage product, and demonstrate the potential for rapid in situ through-container analysis; achieving unequivocal detection of multiple chemical markers known for their use in the adulteration and counterfeiting of Scotch whisky, and other spirit drinks. We demonstrate that it is possible to detect a total of 10 denaturants/additives in extremely low concentrations without any contact with the sample; discriminate between and within multiple well-known Scotch whisky brands, and detect methanol concentrations well below the maximum human tolerable level.

Twitter Demographics

The data shown below were collected from the profiles of 81 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Bachelor 7 16%
Student > Ph. D. Student 7 16%
Student > Master 5 12%
Other 2 5%
Other 5 12%
Unknown 6 14%
Readers by discipline Count As %
Chemistry 13 30%
Agricultural and Biological Sciences 7 16%
Physics and Astronomy 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Environmental Science 1 2%
Other 3 7%
Unknown 12 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 156. 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 29 March 2020.
All research outputs
#126,230
of 15,922,732 outputs
Outputs from Scientific Reports
#1,558
of 83,032 outputs
Outputs of similar age
#4,382
of 278,126 outputs
Outputs of similar age from Scientific Reports
#5
of 125 outputs
Altmetric has tracked 15,922,732 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 83,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. 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 278,126 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 98% of its contemporaries.
We're also able to compare this research output to 125 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 96% of its contemporaries.