Evidence map›Paper›PMID 42799907›Full record

ArticleMikrochimica acta2026

A chlorella-derived carbon dots-based integrated sensing-removal platform for silver ion monitoring and removal via dual-mode optical detection and smartphone-assisted deep learning.

Fenglan Li, Xuan Liu, Bifei Huang, Guoxin Zhuang, Jinyuan Chen

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

5 authors.

Fenglan LiDepartment of Forensic Science, Fujian Police College, Fuzhou, 350007, China. lfl010484@fjpsc.edu.cn.
Xuan LiuDepartment of Forensic Science, Fujian Police College, Fuzhou, 350007, China.
Bifei HuangDepartment of Forensic Science, Fujian Police College, Fuzhou, 350007, China.
Guoxin ZhuangDepartment of Forensic Science, Fujian Police College, Fuzhou, 350007, China. gx_zhuang@fjpsc.edu.cn.
Jinyuan ChenThe Central Laboratory, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. chenjinyuan@fjmu.edu.cn.

Funding

Fujian Provincial Social Science Fund Project FJ2023BF079Natural Science Foundation of Fujian Province 2023J05082Natural Science Foundation of Fujian Province 2024J08115Natural Science Foundation of Fujian Province 2025J08126
6 · The paper itself

Abstract

Chlorella-derived fluorescent carbon dots (CDs) were synthesized via a solvothermal route and a dual-mode colorimetric/fluorescent platform was constructed for Ag⁺ sensing based on coordination-induced visible color change. To enable portable analysis, the CDs were immobilized on filter paper to fabricate portable test strips. Smartphone-based image acquisition, coupled with a convolutional neural network (CNN) model running on a portable laptop, allowed intelligent extraction and quantitative interpretation of color features for Ag⁺ determination. Notably, the coordination/aggregation interaction between CDs and Ag

Indexed as

Carbon Quantum DotsChlorellaDeep LearningSilverSmartphoneAnimalsColorimetryConvolutional Neural NetworksDrinking WaterFluorescent Chemosensor CompoundsFluorescent DyesLimit of DetectionMilkSpectrometry, FluorescenceDrinking WaterFluorescent Chemosensor CompoundsFluorescent DyesSilverCarbon dotsColorimetric/fluorescent dual-modeDeep learningSilver ion detectionSmartphone-based sensing

Identifiers

PMID42799907

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.