Evidence map›Paper›PMID 34886449›Full record

ArticleInternational journal of environmental research and public health2021

Development of Colorimetric Whole-Cell Biosensor for Detection of Heavy Metals in Environment for Public Health.

Yihyang Kim, Hyeunseok Choi, Weon Ho Shin, Jong-Min Oh, Sang-Mo Koo, Younghun Kim, Taek Lee, Byung Jo Yu, Chulhwan Park

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 13 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

9 authors at 2 institutions in 1 country.

Yihyang KimDepartment of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea.
Hyeunseok ChoiEco-friendly Convergence Materials Research Part, Korea Institute of Industrial Technology (KITECH), Cheonan 31056, Korea.
Weon Ho ShinDepartment of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, Korea.ORCID 0000-0003-0487-5480
Jong-Min OhDepartment of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, Korea.
Sang-Mo KooDepartment of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, Korea.
Younghun KimDepartment of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea.
Taek LeeDepartment of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea.
Byung Jo YuEco-friendly Convergence Materials Research Part, Korea Institute of Industrial Technology (KITECH), Cheonan 31056, Korea.
Chulhwan ParkDepartment of Chemical Engineering, Kwangwoon University, Seoul 01897, Korea.ORCID 0000-0003-1148-7881
Kwangwoon University · KRKorea Institute of Industrial Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metals cause various fetal diseases in humans. Heavy metals from factory wastewater can contaminate drinking water, fish, and crops. Inductively coupled plasma-mass spectrometry (ICP-MS) and atomic absorption spectrometry (AAS) are commonly used to analyze heavy metal contents; however, these methods require pre-treatment processes and are expensive and complex. To overcome these limitations, three metal-sensing materials using a whole-cell biosensor in

Indexed as

Biosensing TechniquesMetals, HeavyAnimalsColorimetryEscherichia coliHumansPublic HealthMetals, Heavybioluminescenceheavy metalimmobilizationpromoterpublic healthred fluorescent proteinreporter genewhole-cell biosensor

Identifiers

PMID34886449
PMCPMC8657268
OpenAlexW3215608165

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.