Evidence map›Paper›PMID 41299151›Full record

ArticleMikrochimica acta2025

A SERS/bFQICA/Colorimetric triple-mode LFIA method for rapid quantitative detection of meropenem.

Yongwei Zhang, Qian Zhang, Kexiang Xu, Shuyang Liu, Yarong Li, Meng Liu, Jiutong Li, Jiawei He, Xinxia Li

Abstract read
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Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yongwei Zhang *College of Pharmacy, Xinjiang Medical University, Urumqi, 830054, China. 731597881@qq.com.
Qian Zhang *College of Pharmacy, Xinjiang Medical University, Urumqi, 830054, China.
Kexiang Xu *College of Pharmacy, Xinjiang Medical University, Urumqi, 830054, China.
Shuyang Liu *College of Pharmacy, Xinjiang Medical University, Urumqi, 830054, China.
Yarong LiDepartment of Neurology, Huashan Hospital and Institute of Neurology, Fudan University, Shanghai, 200040, China.
Meng LiuXinjiang Key Laboratory of Translational Biomedical Engineering, Urumqi, 830011, China.
Jiutong LiXinjiang Xingyi Bio-Science Co., Ltd, Urumqi, 830011, China.
Jiawei HeDepartment of Pharmacy, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, China. 252611797@qq.com.
Xinxia LiCollege of Pharmacy, Xinjiang Medical University, Urumqi, 830054, China. lxx6668@xjmu.edu.cn.

Funding

Development and Commercialization of a Methotrexate Blood Concentration Monitoring Kit Based on Fluorescence Quenching Immunochromatography Technology (2025001CGZHYDXM650025490)Development of a Rapid Analytical Technique for Monitoring Meropenem Blood Concentrations in Patients with Periprosthetic Infections Based on SERS (2024XJTRZ02)Tianshan Talent Training Program (2023TSYCLJ0028)
6 · The paper itself

Abstract

Meropenem (MEM), a broad-spectrum carbapenem antibiotic, has a narrow therapeutic window and high interindividual variability. Existing detection methods are often limited by complex operations, long turnaround times, and inadequate sensitivity. To overcome these challenges, this study developed a novel lateral flow immunochromatographic assay (LFIA) platform with synchronous triple-signal output for rapid and accurate MEM detection. A fluorescent membrane sensor was fabricated by integrating Rhodamine 6G (R6G) as a fluorescence donor into a nitrocellulose membrane. Isoniazid (INH, code 064) was selected as the optimal Raman reporter, enabling the synthesis of Raman nanospheres (R-Sphere

Indexed as

Anti-Bacterial AgentsDrug MonitoringMeropenemColorimetryDensity Functional TheoryFluoroimmunoassayHumansSpectrum Analysis, RamanAnti-Bacterial AgentsMeropenemColorimetric detectionImmunochromatographic assayLFIASERSTriple-signal mode detection

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Registered trials

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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.