Evidence map›Paper›PMID 42108319›Full record

ArticleMikrochimica acta2026

Machine learning-guided synthesis of nitrogen-doped carbon dots for fluorometric determination of Fe(III) in water.

Haonan Li, Haonan Zhang, Wenbin Zhong, Yingtong Ma, Hongguang Chen, Longshan Zhao

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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

6 authors.

Haonan LiSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China.
Haonan ZhangSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China.
Wenbin ZhongSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China.
Yingtong MaSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China.
Hongguang ChenSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China.
Longshan ZhaoSchool of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, P. R. China. longshanzhao@163.com.

Funding

Liaoning Provincial Natural Science Foundation of China 2024-MS-088the Middle-aged Backbone Personnel Training Program of Shenyang Pharmaceutical University ZQN2016011the Youqing lift Program of Shenyang Pharmaceutical University YQ202206
6 · The paper itself

Abstract

A machine learning (ML)-assisted strategy has been applied to optimize nitrogen-doped carbon dots  (N-CDs) synthesized via a solvothermal route using glutathione, urea, and formamide as the specific precursor system. A dataset of 250 samples was constructed through systematic experimentation and data augmentation to train XGBoost, Random Forest, and LightGBM models for predicting fluorescence intensity. Among these models, XGBoost showed the best predictive performance with an R

Indexed as

Agarose hydrogelFe(III)Fluorometric assay; Portable visual detectionMachine learningNitrogen-doped carbon dots

Identifiers

PMID42108319

What OpenQuestion holds

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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.