Evidence map›Paper›PMID 33489285›Full record

ArticleRoyal Society open science2020

Portable smartphone-integrated paper sensors for fluorescence detection of As(III) in groundwater.

Sha Liu, Yong Li, Chao Yang, Liqiang Lu, Yulun Nie, Xike Tian

Abstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Sha LiuFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.
Yong LiFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.ORCID 0000-0003-1295-3856
Chao YangFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.
Liqiang LuFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.
Yulun NieFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.
Xike TianFaculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic contamination in groundwater is a supreme environmental problem, and levels of this toxic metalloid must be strictly monitored by a portable, sensitive and selective analytical device. Herein, a new system of smartphone-integrated paper sensors with Cu nanoclusters was established for the effective detection of As(III) in groundwater. For the integration system, the fluorescence emissive peak of Cu nanoclusters at 600 nm decreased gradually with increasing As(III) addition. Meanwhile, the fluorescence colour also changed from orange to colourless, and the detection limit was determined as 2.93 nM (0.22 ppb) in a wide detection range. The interfering ions also cannot influence the detection selectivity of As(III). Furthermore, the portable paper sensors based on Cu nanoclusters were fabricated for visual detection of As(III) in groundwater. The quantitative determination of As(III) in natural groundwater has also been accomplished with the aid of a common smartphone. Our work has provided a portable and on-site detection technique toward As(III) in groundwater with high sensitivity and selectivity.

Indexed as

As(III) detectionfluorescence sensorspaper sensorssmartphone

Identifiers

PMID33489285
PMCPMC7813225

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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.