Evidence map›Paper›PMID 26552791›Full record

ArticleEnvironmental science and pollution research international2016

Application of a novel electrochemical sensor containing organo-modified sericite for the detection of low-level arsenic.

Mu-Nui Kim, Jae-Kyu Yang, Youn-Jong Park, Il-Young Lee, Kyung-Chul Min, Choong Jeon, Seung-Mok Lee

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Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Mu-Nui KimDepartment of Environmental Engineering, Catholic Kwandong University, Gangneung, 210-701, South Korea.
Jae-Kyu YangDivision of General Education, Kwangwoon University, Seoul, 139-701, South Korea.
Youn-Jong ParkResearch Center, SKE&C, Seoul, 110-900, South Korea.
Il-Young LeeKynel, Seoul, 100-011, South Korea.
Kyung-Chul MinKynel, Seoul, 100-011, South Korea.
Choong JeonDepartment of Biochemical Engineering, Gangneung-Wonju National University, Gangneung, 210-702, South Korea.
Seung-Mok LeeDepartment of Environmental Engineering, Catholic Kwandong University, Gangneung, 210-701, South Korea. leesm@cku.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple cyclic voltammetry (CV) analytical method with organo-modified sericite for the working electrode was investigated to detect As(III) in an aquatic environment, and optimal conditions for the reliable measurement of trace amounts of As(III) were studied. A distinct, specific peak was clearly observed at 0.8 V due to the reduction of H3AsO4 to H3AsO3. The specific peak current of arsenic increased with increasing the concentration of As(III) and initially increased proportionally to the scan rates. However, it disappeared as the scan rate increased over 400 mV/s. Because the surface of the organo-modified sericite electrode rapidly became saturated with As(III) when the deposition time increased, an optimal deposition time was determined as 60 s. Pb(2+) had no significant influence on the peak signal of As(III), whereas it was reduced as the ratio of Cu/As increased. Considering the detection limit of arsenic (1 ppb), this system can be used to detect low levels of As(III) in water systems.

Indexed as

Chemistry Techniques, AnalyticalArsenicLimit of DetectionSilicon DioxideWaterWater Pollutants, ChemicalArsenicsericiteSilicon DioxideWaterWater Pollutants, ChemicalAs(III)Cyclic voltammetryHDTMAOrganoSensorSericite

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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.