Evidence map›Paper›PMID 36351804›Full record

ArticleSe pu = Chinese journal of chromatography2022

[Recent advances in the use of graphene for sample preparation].

Juanjuan Feng, Mingxia Sun, Yang Feng, Xubo Xin, Yali Ding, Min Sun

Open access · greenAbstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Juanjuan FengSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Mingxia SunSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Yang FengSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Xubo XinSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Yali DingSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Min SunSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
University of Jinan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sample preparation is playing an increasingly important role in sample analysis. The enrichment efficiency of the target and the removal effect of the sample matrix are strongly dependent on the extraction material. Therefore, the development of efficient extraction materials is an important research focus in the field of sample preparation. Various advanced materials such as nanomaterials, mesoporous materials, ionic liquids, aerogels, carbon materials, metal-organic frameworks, and covalent organic frameworks have been introduced to produce a diverse range of extraction materials for sample preparation. Owing to its unique physical and chemical properties, graphene, an excellent carbon nanomaterial, has attracted significant attention in different areas. Due to their unique advantages of large surface area, large

Indexed as

Environmental PollutantsGraphiteMetal-Organic FrameworksPesticidesMetalsOrganophosphorus CompoundsSolid Phase MicroextractionWaterEnvironmental PollutantsGraphiteMetal-Organic FrameworksMetalsOrganophosphorus CompoundsPesticidesWaterenvironmental pollutantsextraction materialsgraphenegraphene oxidemetal ionssample preparationsolid-phase extractionsolid-phase microextraction

Identifiers

PMID36351804
PMCPMC9654959
OpenAlexW4308766010

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.