Evidence map›Paper›PMID 37083417›Full record

ArticleEnvironmental science & technology2023

Nontarget Analysis of Polluted Surface Waters in Bangladesh Using Open Science Workflows.

Bénilde Bonnefille, Oskar Karlsson, May Britt Rian, Rubhana Raqib, Faruque Parvez, Stefano Papazian, M Sirajul Islam, Jonathan W Martin

Abstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

8 authors.

Bénilde BonnefilleDepartment of Environmental Science, Exposure and Effects Unit, Science for Life Laboratory, Stockholm University, Stockholm 106 91, Sweden.ORCID 0000-0001-5141-7111
Oskar KarlssonDepartment of Environmental Science, Exposure and Effects Unit, Science for Life Laboratory, Stockholm University, Stockholm 106 91, Sweden.ORCID 0000-0001-8009-0015
May Britt RianDepartment of Environmental Science, Exposure and Effects Unit, Science for Life Laboratory, Stockholm University, Stockholm 106 91, Sweden.ORCID 0000-0001-6153-2164
Rubhana RaqibImmunobiology, Nutrition and Toxicology Unit, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.
Faruque ParvezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States.
Stefano PapazianDepartment of Environmental Science, Exposure and Effects Unit, Science for Life Laboratory, Stockholm University, Stockholm 106 91, Sweden.ORCID 0000-0003-2538-8702
M Sirajul IslamLaboratory of Food Safety and One Health, Laboratory Sciences and Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.
Jonathan W MartinDepartment of Environmental Science, Exposure and Effects Unit, Science for Life Laboratory, Stockholm University, Stockholm 106 91, Sweden.ORCID 0000-0001-6265-4294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nontarget mass spectrometry has great potential to reveal patterns of water contamination globally through community science, but few studies are conducted in low-income countries, nor with open-source workflows, and few datasets are FAIR (Findable, Accessible, Interoperable, Reusable). Water was collected from urban and rural rivers around Dhaka, Bangladesh, and analyzed by liquid chromatography high-resolution mass spectrometry in four ionization modes (electrospray ionization ±, atmospheric pressure chemical ionization ±) with data-independent MS2 acquisition. The acquisition strategy was complementary: 19,427 and 7365 features were unique to ESI and APCI, respectively. The complexity of water pollution was revealed by >26,000 unique molecular features resolved by MS-DIAL, among which >20,000 correlated with urban sources in Dhaka. A major wastewater treatment plant was not a dominant pollution source, consistent with major contributions from uncontrolled urban drainage, a result that encourages development of further wastewater infrastructures. Matching of deconvoluted MS2 spectra to public libraries resulted in 62 confident annotations (

Indexed as

Water Pollutants, ChemicalWater PollutionBangladeshChromatography, LiquidSpectrometry, Mass, Electrospray IonizationWaterWorkflowWaterWater Pollutants, Chemicalatmospheric pressure chemical ionizationelectrospray ionizationhigh-resolution mass spectrometrynontarget analysisorbitraporganic micropollutantsSouth Asiawater pollution

Identifiers

PMID37083417
PMCPMC10157886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.