Evidence map›Paper›PMID 36321111›Full record

ArticleRSC advances2022

Trace-level detection of sulfonamide antibiotics using quaternary ammonium polymeric ionic liquid-based effervescence-enhanced dispersive solid-phase extraction followed by LC-DAD analysis in environmental waters.

Sai Ma, Ming Gao, Su Ma, Jun Wang, Yue Sun, Hanyu Wang, Huili Wang, Xuedong Wang

Abstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sai MaSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Ming GaoSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Su MaSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Jun WangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Yue SunSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Hanyu WangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.
Huili WangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.ORCID https://orcid.org/0000-0002-1359-9484
Xuedong WangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology Suzhou 215009 China whuili@163.com zjuwxd@163.com.ORCID https://orcid.org/0000-0001-7732-1695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional ionic liquids possess several disadvantages, such as high viscosity, difficult sampling/retrieval, and great loss in aqueous solution, limiting their wide applications in the pretreatment field. To solve these drawbacks, we synthesized a quaternary ammonium polymeric ionic liquid (PIL) and pressed it into an effervescent tablet for developing an effervescence-enhanced dispersive solid-phase extraction method (QAP-EDSE). The pressed effervescent tablet was composed of PIL as an extractant, tartaric acid as an acidic source, NaHCO

Identifiers

PMID36321111
PMCPMC9580476

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.