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Analysis of N,N‐dimethylamphetamine in wastewater – a pyrolysis marker and synthesis impurity of methamphetamine

Overview of attention for article published in Drug Testing and Analysis, July 2018
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Title
Analysis of N,N‐dimethylamphetamine in wastewater – a pyrolysis marker and synthesis impurity of methamphetamine
Published in
Drug Testing and Analysis, July 2018
DOI 10.1002/dta.2419
Pubmed ID
Authors

Frederic Been, Jake O'Brien, Foon Yin Lai, Marie Morelato, Peter Vallely, Jenny McGowan, Alexander L. N. van Nuijs, Adrian Covaci, Jochen F. Mueller

Abstract

The increased availability of high purity crystalline methamphetamine (MA) in Australia raised concerns because of high dosages and its potential consumption through inhalation. The present work investigates the possibility of using wastewater levels of N,N-dimethylamphetamine (DMA), a pyrolysis by-product formed during smoking, as an indirect indicator of MA smoking. A dedicated liquid chromatography time-of-flight mass spectrometry (LC-QTOF-MS) method was setup to detect and quantify DMA in the wastewater samples. Wastewater samples were collected from eight locations across Australia during the period 2011-2016. Data about the abundance of DMA in MA seizures as well as in residues from drug paraphernalia (i.e., pipes) were obtained from forensic laboratories in Australia. DMA/MA ratios measured in wastewater ranged from 0.0001 to 0.09 (median 0.007). DMA/MA ratios in bulk seizures are generally below 0.0025, with a median value of 0.0004, whilst residues in paraphernalia ranged from 0.031 to 3.37. DMA/MA ratios in wastewater decreased in the investigated period, in parallel to an increase in MA loads. Furthermore, wastewater analyses highlighted a strong positive correlation between DMA/MA ratios and per capita MA use (Pearson's correlation ρ= 0.61, p-value < 0.001). Nonetheless, geographical specificities could be highlighted between the investigated locations. The obtained data could help authorities detect hot spots of drug use as well as to plan specific intervention campaigns to tackle the issue. In future, simultaneous analysis of DMA and MA in both wastewater and seizures could improve our understanding about MA use and its consumption patterns.

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The data shown below were collected from the profiles of 2 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Master 2 14%
Student > Bachelor 1 7%
Lecturer > Senior Lecturer 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Environmental Science 2 14%
Medicine and Dentistry 2 14%
Chemistry 2 14%
Nursing and Health Professions 1 7%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 June 2018.
All research outputs
#19,204,118
of 24,453,338 outputs
Outputs from Drug Testing and Analysis
#946
of 1,433 outputs
Outputs of similar age
#242,604
of 333,238 outputs
Outputs of similar age from Drug Testing and Analysis
#11
of 29 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,433 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 333,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.