Evidence map›Paper›PMID 42871684›Full record

ArticleECS sensors plus2026

Perspective on Electrochemical Lead Detection: Distributed Sensing to Address Unevenly Distributed Risk.

Elizabeth R Jacobia, A Andrew D Jones Iii

Abstract read
In one paragraph

Article in ECS sensors plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Elizabeth R JacobiaDepartment of Civil & Environmental Engineering, Duke University, Durham, NC 27708, United States of America.ORCID https://orcid.org/0000-0002-5110-6812
A Andrew D Jones IiiDepartment of Civil & Environmental Engineering, Duke University, Durham, NC 27708, United States of America.ORCID https://orcid.org/0000-0003-3840-8039

Funding

Duke University Program in Environmental HealthT32ES021432 · NIEHS · DUKE UNIVERSITY · PI Akhenaton-Andrew Dhafir Jones, Joel Newman Meyer · 2013 to 2026
$4.0M
NIEHS NIH HHS T32 ES021432
6 · The paper itself

Abstract

Lead contamination is a global issue and requires detection for risk evaluation and remediation. Standardized testing is accurate and effective for water quality monitoring, however, does not provide real-time results and is not widely accessible. Electrochemical detection methods have been developed with comparable lead sensitivity and selectivity to standard methods. United States Environmental Protection Agency certification of electrochemical lead detection methods and inspectors would allow for readily available and cost-efficient water quality results. Introducing electrochemical lead detection methods in the United States will increase water quality awareness, incentivize mitigation, and provide data for regulation and policy development.

Identifiers

PMID42871684
PMCPMC13658982

What OpenQuestion holds

Textmetadata
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.