Evidence map›Paper›PMID 31686237›Full record

ArticleMikrochimica acta2019

Solid-phase microextraction of triazine herbicides via cellulose paper coated with a metal-organic framework of type MIL-101(Cr), and their quantitation by HPLC-MS.

Yanxiao Jiang, Pinyi Ma, Huilan Piao, Zucheng Qin, Shuo Tao, Ying Sun, Xinghua Wang, Daqian Song

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Monodispersed mesoporous SiOMikrochimica acta · 2020
    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

8 authors.

Yanxiao JiangCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Pinyi MaCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Huilan PiaoCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Zucheng QinCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Shuo TaoShandong Provincial Key Laboratory of Chemical Energy Storage and Novel Cell Technology, School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252059, China.
Ying SunCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Xinghua WangCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China.
Daqian SongCollege of Chemistry, Jilin University, Qianjin Street 2699, Changchun, 130012, China. songdq@jlu.edu.cn.ORCID http://orcid.org/0000-0002-4866-1292

Funding

Industrial Innovation Funds of Jilin Province of China 2018C034-1Science and Technology Developing Foundation of Jilin Province of China 20180201050YY
6 · The paper itself

Abstract

Cellulose paper was coated with the metal-organic framework MIL-101(Cr) in a chitosan matrix and utilized for thin-film microextraction (TFME). The coated paper possesses excellent extraction efficiency for the triazine herbicides atraton, desmetryn, secbumeton, prometon, ametryn, dipropetryn, and dimethametryn. High-performance liquid chromatography-tandem mass spectrometry was applied to quantify target analytes. The effects of mass ratio of MIL-101(Cr) to chitosan, sample pH value, time of adsorption and desorption, and type and volume of desorption solvent on extraction efficiency were optimized. Under the optimal conditions, the method has limits of detection between 1.5 and 22 ng·L

Indexed as

Coated paperMetal organic framework (MOF)Thin film microextraction (TFME)Triazine herbicides

Identifiers

What OpenQuestion holds

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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.