Evidence map›Paper›PMID 29102200›Full record

ArticleThe Science of the total environment2018

Quantitative drinking water arsenic concentrations in field environments using mobile phone photometry of field kits.

Ezazul Haque, Brian J Mailloux, Daisy de Wolff, Sabina Gilioli, Colette Kelly, Ershad Ahmed, Christopher Small, Kazi Matin Ahmed, Alexander van Geen, Benjamin C Bostick

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2018. 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
1.6field-weighted citation impact, top 19% of its field
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, 25 citations in OpenAlex.

  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

10 authors at 3 institutions in 2 countries.

Ezazul HaqueLamont-Doherty Earth Observatory of Columbia University, Route 9 W, Palisades, New York 10964, United States; Department of Environmental Science, Barnard College, 3009 Broadway, New York, New York 10027, United States.
Brian J MaillouxDepartment of Environmental Science, Barnard College, 3009 Broadway, New York, New York 10027, United States.
Daisy de WolffDepartment of Environmental Science, Barnard College, 3009 Broadway, New York, New York 10027, United States.
Sabina GilioliDepartment of Environmental Science, Barnard College, 3009 Broadway, New York, New York 10027, United States.
Colette KellyDepartment of Environmental Science, Barnard College, 3009 Broadway, New York, New York 10027, United States.
Ershad AhmedDepartment of Geology, Dhaka University, Dhaka 1000, Bangladesh.
Christopher SmallLamont-Doherty Earth Observatory of Columbia University, Route 9 W, Palisades, New York 10964, United States.
Kazi Matin AhmedDepartment of Geology, Dhaka University, Dhaka 1000, Bangladesh.
Alexander van GeenLamont-Doherty Earth Observatory of Columbia University, Route 9 W, Palisades, New York 10964, United States.
Benjamin C BostickLamont-Doherty Earth Observatory of Columbia University, Route 9 W, Palisades, New York 10964, United States. Electronic address: bostick@ldeo.columbia.edu.
Barnard College · USLamont-Doherty Earth Observatory · USUniversity of Dhaka · BD

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ami R Zota · 1998 to 2026
$44.7M
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349
6 · The paper itself

Abstract

Arsenic (As) groundwater contamination is common yet spatially heterogeneous within most environments. It is therefore necessary to measure As concentrations to determine whether a water source is safe to drink. Measurement of As in the field involves using a test strip that changes color in the presence of As. These tests are relatively inexpensive, but results are subjective and provide binned categorical data rather than exact determinations of As concentration. The goal of this work was to determine if photos of field kit test strips taken on mobile phone cameras could be used to extract more precise, continuous As concentrations. As concentrations for 376 wells sampled from Araihazar, Bangladesh were analyzed using ICP-MS, field kit and the new mobile phone photo method. Results from the field and lab indicate that normalized RGB color data extracted from images were able to accurately predict As concentrations as measured by ICP-MS, achieving detection limits of 9.2μg/L, and 21.9μg/L for the lab and field respectively. Data analysis is most consistent in the laboratory, but can successfully be carried out offline following image analysis, or on the mobile phone using basic image analysis software. The accuracy of the field method was limited by variability in image saturation, and variation in the illumination spectrum (lighting) and camera response. This work indicates that mobile phone cameras can be used as an analytical tool for quantitative measures of As and could change how water samples are analyzed in the field more widely, and that modest improvements in the consistency of photographic image collection and processing could yield measurements that are both accurate and precise.

Indexed as

ArsenicChemical mappingExposure assessmentField analytical methodsPhotometry

Identifiers

PMID29102200
PMCPMC5773362
OpenAlexW2767388569

What OpenQuestion holds

Textmetadata
LicenceTDM
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.