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What about the herb? A new metabolomics approach for synthetic cannabinoid drug testing

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
What about the herb? A new metabolomics approach for synthetic cannabinoid drug testing
Published in
Analytical & Bioanalytical Chemistry, June 2018
DOI 10.1007/s00216-018-1182-8
Pubmed ID
Authors

Lubertus Bijlsma, Rubén Gil-Solsona, Félix Hernández, Juan Vicente Sancho

Abstract

Synthetic cannabinoids (SCs) are consumed as legal alternative to cannabis and often allow passing drug-screening tests. Their rapid transience on the drug scene, combined with their mostly unknown metabolic profiles, creates a scenario with constantly moving analytical targets, making their monitoring and identification challenging. The development of fast screening strategies for SCs, not directly focused on their chemical structure, as an alternative to the commonly applied target acquisition methods, would be highly appreciated in forensic and public health laboratories. An innovative untargeted metabolomics approach, focused on herbal components commonly used for 'spice' products, was applied. Saliva samples of healthy volunteers were collected at pre-dose and after smoking herbal components and analysed by high-resolution mass spectrometry. The data obtained, combined with appropriate statistical analysis, allowed to highlight and elucidate two markers (scopoletin and N,N-bis(2-hydroxyethyl)dodecylamine), which ratio permitted to differentiate herbal smokers from non-smokers. The proposed strategy will allow discriminating potential positives, on the basis of the analysis of two markers identified in the herbal blends. This work is presented as a step forward in SC drug testing, promoting a smart first-line screening approach, which will allow reducing the number of samples to be further investigated by more sophisticated HRMS methods. Graphical abstract The development of an alternative, generic screening methods of synthetic cannabinoids, not directly based on the chemical structure, in order to provide fast response on its potential consumption.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 17%
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Researcher 5 10%
Student > Doctoral Student 3 6%
Other 4 8%
Unknown 16 33%
Readers by discipline Count As %
Chemistry 10 21%
Pharmacology, Toxicology and Pharmaceutical Science 5 10%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 3 6%
Immunology and Microbiology 1 2%
Other 6 13%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2019.
All research outputs
#6,302,026
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,447
of 9,619 outputs
Outputs of similar age
#97,498
of 328,691 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#18
of 182 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 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 84% 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 328,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 182 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 90% of its contemporaries.