Evidence map›Paper›PMID 41003953›Full record

ArticleJournal of fluorescence2026

Rational Design of a 3D-printed Sensing Platform for On-site Measurement of Toluene Based on Cu(I) Complex.

Shihan Xia, Sanfu Tong, Weihao Wang, Xiaole Chen, Weihao Li, Qianming Wang

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Article in Journal of fluorescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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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

6 authors.

Shihan XiaSchool of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, P.R. China.
Sanfu TongGuangzhou Fire and Rescue Department, Guangzhou, 510660, P.R. China.
Weihao WangSchool of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, P.R. China.
Xiaole ChenSchool of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, P.R. China.
Weihao LiInstitute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou, 510665, P.R. China. weihao_li@126.com.
Qianming WangSchool of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou, 510006, P.R. China. qmwang@scnu.edu.cn.

Funding

Guangdong Province Key Field R&D Plan Project 2024B1111100001
6 · The paper itself

Abstract

This study reports the rational design and synthesis of a novel stimuli-responsive fluorescent complex based on Cu(I) and 4-methylpyridine. The material exhibits a unique vapor-triggered fluorescence switching behavior: upon exposure to toluene vapor, its emission undergoes a significant bathochromic shift from 445 nm (blue) to 553 nm (yellow), accompanied by a distinct naked-eye-detectable blue-to-yellow colorimetric transition. Based on this effective molecular switching mechanism, we have developed a portable fluorescence detection platform featuring integrated excitation optics, long-pass filtration (λcut = 420 nm), and real-time spectral analysis software. This device achieves rapid (< 1 min) and selective quantification of trace toluene vapor with a detection limit of 4.45 ppm, demonstrating excellent anti-interference capability against relevant aromatic compounds such as benzene, benzaldehyde, paraxylene, orthoxylene or mesitylene and common organic solvents (e.g., ethanol, acetone, hexane) and potential environmental interferents (relative error < ± 5%). The sensing system exhibits remarkable reversibility and operational stability under ambient conditions (20-40 °C, RH 30-80%). This work establishes a promising strategy for on-site, real-time monitoring of hazardous volatile organic compound such as toluene, with significant implications for environmental surveillance, industrial safety, and point-of-care diagnostics.

Indexed as

Cu(I) complexFluorescent sensorIntegrated deviceOn-site measurement

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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.