Evidence map›Paper›PMID 42553468›Full record

ArticleRSC advances2026

Plug-and-play coaxial nested-tube supported liquid membrane extraction for the determination of nonsteroidal anti-inflammatory drugs in human plasma.

Huifen Huang, Mengyuan Lv, QianQian Wang, Qiwen Zhang, Yongjie Yang, Di Chen, Zifei Qin

Abstract read
In one paragraph

Article in RSC advances, 2026. 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

7 authors.

Huifen HuangDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450052 China.
Mengyuan LvSchool of Pharmaceutical Sciences, Zhengzhou University Zhengzhou 450001 China dichen@zzu.edu.cn.
QianQian WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450052 China.
Qiwen ZhangDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450052 China qzf1989@163.com.
Yongjie YangDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450052 China qzf1989@163.com.
Di ChenSchool of Pharmaceutical Sciences, Zhengzhou University Zhengzhou 450001 China dichen@zzu.edu.cn.ORCID https://orcid.org/0000-0002-1303-8038
Zifei QinDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450052 China qzf1989@163.com.ORCID https://orcid.org/0000-0001-8989-1986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A robust coaxial nested-tube supported liquid membrane extraction (CNT-SLME) method was developed for determining nonsteroidal anti-inflammatory drugs (NSAIDs) in human plasma. The device was adapted from commercial nucleic acid purification columns using industrial-grade polypropylene fabric as a stable, hydrophobic support for a dihexyl ether liquid membrane. This "plug-and-play" three-phase system (acidic donor/organic membrane/alkaline acceptor) facilitates efficient analyte enrichment and reduced matrix interference. The setup allows simultaneous processing of multiple samples using a standard multi-well shaker, overcoming the low-throughput bottlenecks of traditional liquid-phase microextraction. Under optimized conditions, the method yielded satisfactory recoveries (46.89-66.63%), negligible matrix effects (86.50-103.51%), excellent linearity (

Identifiers

PMID42553468
PMCPMC13434744

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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.