Evidence map›Paper›PMID 34267944›Full record

ArticleNPJ clean water2020

A Primer on Emerging Field-Deployable Synthetic Biology Tools for Global Water Quality Monitoring.

Walter Thavarajah, Matthew S Verosloff, Jaeyoung K Jung, Khalid K Alam, Joshua D Miller, Michael C Jewett, Sera L Young, Julius B Lucks

Open access · goldAbstract read
In one paragraph

Article in NPJ clean water, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 89 citations in OpenAlex.

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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 at 1 institution in 1 country.

Walter ThavarajahDepartment of Chemical and Biological Engineering, Northwestern University, 2145, Sheridan Rd, Evanston, IL, 60208, USA.
Matthew S VerosloffCenter for Synthetic Biology, Northwestern University, 2145 Sheridan Rd, Evanston, IL, 60208, USA.
Jaeyoung K JungDepartment of Chemical and Biological Engineering, Northwestern University, 2145, Sheridan Rd, Evanston, IL, 60208, USA.
Khalid K AlamDepartment of Chemical and Biological Engineering, Northwestern University, 2145, Sheridan Rd, Evanston, IL, 60208, USA.
Joshua D MillerCenter for Water Research, Northwestern University, 2145 Sheridan Rd, Evanston, IL, 60208, USA.
Michael C JewettDepartment of Chemical and Biological Engineering, Northwestern University, 2145, Sheridan Rd, Evanston, IL, 60208, USA.
Sera L YoungCenter for Water Research, Northwestern University, 2145 Sheridan Rd, Evanston, IL, 60208, USA.
Julius B LucksDepartment of Chemical and Biological Engineering, Northwestern University, 2145, Sheridan Rd, Evanston, IL, 60208, USA.
Northwestern University · US

Funding

Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
NIGMS NIH HHS T32 GM008449
6 · The paper itself

Abstract

Tracking progress towards Target 6.1 of the United Nations Sustainable Development Goals, "achieving universal and equitable access to safe and affordable drinking water for all", necessitates the development of simple, inexpensive tools to monitor water quality. The rapidly growing field of synthetic biology has the potential to address this need by taking DNA-encoded sensing elements from nature and reassembling them to create field-deployable 'biosensors' that can detect pathogenic or chemical water contaminants. Here we describe water quality monitoring strategies enabled by synthetic biology and compare them to previous approaches used to detect three priority water contaminants: fecal pathogens, arsenic, and fluoride in order to explain the potential for engineered biosensors to simplify and decentralize water quality monitoring. We also briefly discuss expanding biosensors to detect emerging contaminants including metals and pharmaceuticals. We conclude with an outlook on the future of biosensor development, in which we discuss adaptability to emerging contaminants, outline current limitations, and propose steps to overcome the field's outstanding challenges to facilitate global water quality monitoring.

Identifiers

PMID34267944
PMCPMC8279131
OpenAlexW3014710103

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.