Evidence map›Paper›PMID 40377795›Full record

ArticleJournal of fluorescence2025

Sensor with Strong Solid Emission for Fluorescence Colormetric Detection of 1, 4-Dioxane in Water and Vapor Based on the Keto-Enol Isomerisation.

Jing Wang, Zi-Ao Zong, Shi-Fu Huang, Mohd Muddassir, Zhi-Yong Xing, Na-Na Li, Wen-Qiong Jiang

Abstract read
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Article in Journal of fluorescence, 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

7 authors.

Jing Wang *Modern Industrial College of Biomedicine and Great Health, Youjiang Medical University for Nationalities, Baise, 533000, China.
Zi-Ao Zong *Key Laboratory of Research on Environment and Population Health in aluminium mining areas (Youjiang, Medical University for Nationalities), Education Department of Guangxi Zhuang Autonomous Region, Baise, China.
Shi-Fu HuangModern Industrial College of Biomedicine and Great Health, Youjiang Medical University for Nationalities, Baise, 533000, China.
Mohd MuddassirDepartment of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Zhi-Yong XingModern Industrial College of Biomedicine and Great Health, Youjiang Medical University for Nationalities, Baise, 533000, China.
Na-Na LiKey Laboratory of Research on Environment and Population Health in aluminium mining areas (Youjiang, Medical University for Nationalities), Education Department of Guangxi Zhuang Autonomous Region, Baise, China. LMT13643562571@126.com.
Wen-Qiong JiangAffiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, PR China. 2901058890@qq.com.

Funding

Fundamental Research Program of Shanxi Province No. 202203021222307Researchers Supporting Project number RSP2025R141the Science and Technology Baseand the Talent Special Project for Guangxi Province No. AD22035154 and AD20297056the Scientific Research and Technology Development Program Project of Baise City No.20222001Xinzhou Teachers University project fund No. 00001036
6 · The paper itself

Abstract

In this work, an easy prepared solid fluorescent sensor 3-(benzo[d]thiazol-2-yl)-1-hydroxy-4-oxo-3,4-dihydrophthalazine-6-carboxylic acid (BPCA) was designed and synthesized and the structure was proved by IR, UV-Vis, NMR, HRMS and elemental analysis, which displayed high selectivity and sensitivity for fluorescence colormetric from green to blue sensing 1, 4-dioxane in water, and the detection limit was obtained 0.009% and the stability constant was 7.4 × 10

Indexed as

1, 4-dioxaneFluorescence colormetric sensorTautomerizationVapor

Identifiers

PMID40377795

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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.