Evidence map›Paper›PMID 36432216›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Recent Progress in Morphology-Tuned Nanomaterials for the Electrochemical Detection of Heavy Metals.

Chinchu Gibi, Cheng-Hua Liu, Scott C Barton, Jerry J Wu

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. 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.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
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

4 authors.

Chinchu GibiDepartment of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan.
Cheng-Hua LiuDepartment of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan.ORCID 0000-0001-5864-8107
Scott C BartonDepartment of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824, USA.
Jerry J WuDepartment of Environmental Engineering and Science, Feng Chia University, Taichung 407, Taiwan.ORCID 0000-0001-6702-8188

Funding

Ministry of Science and Technology, Taiwan MOST-108-2221-035-054-MY3
6 · The paper itself

Abstract

Heavy metals are one of the most important classes of environmental pollutants which are toxic to living beings. Many efforts are made by scientists to fabricate better sensors for the identification and quantification of heavy metal ions (HMI) in water and food samples to ensure good health. Electrocatalysts have been demonstrated to play an important role in enhancing the sensitivity and selectivity of HMI detection in electrochemical sensors. In this review, we presented morphologically well-tuned nanomaterials used as efficient sensor materials. Based on the molecular dimensions, shapes, and orientation, nanomaterials can be classified into 0-D, 1-D, 2-D, and 3-D nanomaterials. Active surface areas with significant exposure of active sites and adsorption-desorption abilities are extensively varied with dimensionality, which in turn ultimately influence the sensing performance for HMI.

Indexed as

dimensionselectrocatalystselectrochemical sensorsheavy metalsmorphologynanomaterials

Identifiers

PMID36432216
PMCPMC9695927

What OpenQuestion holds

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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.