Evidence map›Paper›PMID 40395795›Full record

ArticleRSC advances2025

Simultaneous analysis of multi-class antibiotics in bottled water using large-volume direct-injection LC-MS/MS.

Haijun Wang, Qiao Zhang, Xiaolin Li, Huan Chen, Xiaolan Zhu, Liming Yang, Hongling Yin, Jing Sun, Shuhong Fang, Hui Zhang

Abstract read
In one paragraph

Article in RSC advances, 2025. 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

10 authors.

Haijun WangCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.
Qiao ZhangCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.
Xiaolin LiCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.
Huan ChenDepartment of Environmental Engineering and Earth Science, Clemson University South Carolina 29634 USA.ORCID https://orcid.org/0000-0001-9998-1205
Xiaolan ZhuAgilent Technologies (China) Co., Ltd 100102 China.
Liming YangDepartment of Chemical and Biomolecular Engineering, National University of Singapore 117585 Singapore.
Hongling YinCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.
Jing SunCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.ORCID https://orcid.org/0000-0002-4851-468X
Shuhong FangCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.
Hui ZhangCollege of Resources and Environment, Chengdu University of Information Technology Chengdu 610225 China zhanghui@cuit.edu.cn.ORCID https://orcid.org/0000-0002-9682-4738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large-volume direct-injection (LVDI) method was developed and validated for the simultaneous analysis of 69 antibiotics in bottled water using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Target antibiotics included 23 sulfonamides, 19 quinolones, 12 macrolides, 11 β-lactams, and 4 tetracyclines. Optimization of ion source parameters led to enhanced signal intensities for 55 antibiotics. The 100 μL injection volume was both feasible and preferred, resulting in increased signal intensities while maintaining unchanged peak shapes for the antibiotics. Good absolute recoveries for the 69 antibiotics were obtained with the LVDI method, primarily ranging from 80% to 120%, whereas lower absolute recoveries of macrolides, quinolones, sulfonamides and β-lactams were observed with a solid-phase extraction (SPE) method. The limits of detection (LODs) for antibiotics were generally comparable between the LVDI and SPE methods, with values below 1 ng L

Identifiers

PMID40395795
PMCPMC12091094

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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.