Evidence map›Paper›PMID 42505448›Full record

ArticleBiosensors2026

Fluorescent Sensor Array Based on Black Plum Peels-Derived Carbon Dots for Multiplex Heavy Metal Ions Identification.

Ling Yang, Dandan Peng, Haihu Tan, Yahu Wang, Xin Lu, Fanming Zeng, Shi Gang Liu, Yuejun Liu

Abstract read
In one paragraph

Article in Biosensors, 2026. 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

8 authors.

Ling YangSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Dandan PengSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0009-0004-7467-8591
Haihu TanSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yahu WangSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Xin LuSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Fanming ZengCollege of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Shi Gang LiuHunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-2331-9781
Yuejun LiuNational & Local Joint Engineering Research Center for Advanced Packaging Material and Technology, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0000-0001-9132-8017

Funding

Department of Science and Technology of Hunan Province the Natural Science Foundation of Hunan Province (2024JJ7140, 2025JJ70051)Education Department of Hunan Province the Scientific Research Project of Hunan Provincial Department of Education (24A0388, 24C0283)
6 · The paper itself

Abstract

Accurate discrimination of multiple heavy metal ions is essential for environmental monitoring. This study developed a simple fluorescent sensing array utilizing carbon dots derived from black plum peels (PCDs) for the precise identification of metal ions in environmental waters. Three structurally distinct PCDs were hydrothermally synthesized using phenylenediamine isomers as nitrogen dopants, exhibiting distinct fluorescence response patterns to target ions. Pattern recognition was performed using linear discriminant analysis (LDA) and hierarchical clustering analysis (HCA). The optimized system (pH 5-7) achieved high discrimination accuracy for eight metal ions (Sn

Indexed as

Biosensing TechniquesMetals, HeavyCarbonCarbon Quantum DotsEnvironmental MonitoringFluorescenceIonsSpectrometry, FluorescenceWater Pollutants, ChemicalCarbonIonsMetals, HeavyWater Pollutants, Chemicalcarbon dotsfluorescent sensor arrayHCAHeavy metal ionsLDA

Identifiers

PMID42505448
PMCPMC13406801

What OpenQuestion holds

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LicenceCC BY
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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.