Evidence map›Paper›PMID 37530930›Full record

ArticleJournal of fluorescence2024

Detection of Doxycycline Using Carbon Quantum dots as Probe Based on Internal Filtering Effect.

Jianhou Huang, Menghan Zhang, Jiyue Huang, Xiaoqin Deng, Xintian Zhang, Chenfang Miao, Shaohuang Weng

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Jianhou HuangDepartment of Pharmacy, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, 362000, China.
Menghan ZhangDepartment of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.
Jiyue HuangDepartment of Pharmacy, the 900th Hospital of China Joint Logistics Support Force, Fuzhou, 350025, China.
Xiaoqin DengDepartment of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.
Xintian ZhangDepartment of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.
Chenfang MiaoDepartment of Pharmacy, the 900th Hospital of China Joint Logistics Support Force, Fuzhou, 350025, China. monday0796@163.com.
Shaohuang WengDepartment of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.

Funding

the National Science Foundation of Fujian Province 2021J05092 and 2022J01493the Quanzhou City Science & Technology Program of China 2022NS065the Youth independent innovation project incubation project of the 900th Hospital of Joint Logistics Team of the PLA 2022QC09
6 · The paper itself

Abstract

The establishment of a convenient and effective detection method for doxycycline (DC) holds significant importance in drug monitoring and drug residue assessment. In this work, carbon quantum dots (CQDs) with excellent and stable luminescence performance (the quantum yield of CQDs was 21.8%) were synthesized by the melting method and employed as probes to monitor the fluorescence intensity variations before and after the introduction of DC. A fluorescence analytical method based on the internal filtration effect (IFE) was developed for DC determination. The mechanism of DC quenching CQDs was verified using fluorescence lifetime tests, absorption spectroscopy, and evaluation of internal filtration parameters. After optimizing experimental conditions, it was found that the DC concentration (C

Indexed as

CarbonDoxycyclineQuantum DotsSpectrometry, FluorescenceFluorescent DyesHumansLimit of DetectionCarbonDoxycyclineFluorescent DyesCarbon Quantum DotsDoxycyclineDrug MonitoringDrug ResidueFluorescence Analysis MethodInternal Filtering Effect

Identifiers

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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.