Evidence map›Paper›PMID 33074582›Full record

ArticleRapid communications in mass spectrometry : RCM2021

Non-target profiling of bitumen-influenced waters for the identification of tracers unique to oil sands processed-affected water (OSPW) in the Athabasca watershed of Alberta, Canada.

Craig B Milestone, Chenxing Sun, Jonathan W Martin, Greg Bickerton, James W Roy, Richard A Frank, L Mark Hewitt

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Craig B MilestoneSheridan College, School of Chemical and Environmental Sciences, 7899 McLaughlin Road, Brampton, ON, L6Y 5H9, Canada.
Chenxing SunDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2G3, Canada.
Jonathan W MartinDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2G3, Canada.
Greg BickertonEnvironment and Climate Canada, Water Science and Technology Directorate, 867 Lakeshore Road, Burlington, ON, L7S 1A1, Canada.
James W RoyEnvironment and Climate Canada, Water Science and Technology Directorate, 867 Lakeshore Road, Burlington, ON, L7S 1A1, Canada.
Richard A FrankEnvironment and Climate Canada, Water Science and Technology Directorate, 867 Lakeshore Road, Burlington, ON, L7S 1A1, Canada.
L Mark HewittEnvironment and Climate Canada, Water Science and Technology Directorate, 867 Lakeshore Road, Burlington, ON, L7S 1A1, Canada.ORCID https://orcid.org/0000-0002-3683-562X

Funding

Canada-Alberta Oil Sands Monitoring ProgramEnvironment and Climate Change Canada
6 · The paper itself

Abstract

rationaleThe objective of this study was to identify unique chemical tracers of oil sands process-affected water (OSPW) to enable definitive discrimination of tailings pond seepage from natural bitumen-influenced waters from the Canadian Alberta McMurray formation.

methodsThe approach involved comparing unknowns from an unprecedented sample set of OSPW (n = 4) and OSPW-affected groundwaters (n = 15) with natural bitumen-influenced groundwaters (n = 20), using high-performance liquid chromatography/electrospray ionisation high-resolution mass spectrometry (HPLC/ESI-HRMS) operated in both polarities.

resultsFour unknown chemical entities were identified as potential tracers of OSPW seepage and subsequently subjected to structural elucidation. One potential tracer, tentatively identified as a thiophene-containing carboxylic acid [C

conclusionsWe advanced the state of knowledge for tracers of tailings seepage beyond heteroatomic classes, to identifying diagnostic substances, with structures postulated. Synthesis of the four proposed structures is recommended to enable structural confirmations. This research will guide and inform the Oil Sands Monitoring Program in its efforts to assess potential influences of oil sands development on the Athabasca River watershed.

Identifiers

PMID33074582
PMCPMC7757169

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.