Evidence map›Paper›PMID 40626073›Full record

ArticleSmart molecules : open access2023

Magnetic-optical dual functional Janus particles for the detection of metal ions assisted by machine learning.

Jianhang Liu, Yingdi Lv, Xinghai Li, Shi Feng, Wenbo Yang, Yumeng Zhou, Shengyang Tao

Abstract read
In one paragraph

Article in Smart molecules : open access, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Jianhang LiuState Key Laboratory of Fine Chemicals Frontier Science Center for Smart Materials School of Chemistry Dalian University of Technology Dalian China.ORCID https://orcid.org/0009-0007-9106-6003
Yingdi LvSchool of Chemistry and Chemical Engineering Northwestern Polytechnical University Xi'an China.
Xinghai LiState Key Laboratory of Fine Chemicals Frontier Science Center for Smart Materials School of Chemistry Dalian University of Technology Dalian China.
Shi FengState Key Laboratory of Fine Chemicals Frontier Science Center for Smart Materials School of Chemistry Dalian University of Technology Dalian China.
Wenbo YangState Key Laboratory of Fine Chemicals Frontier Science Center for Smart Materials School of Chemistry Dalian University of Technology Dalian China.ORCID https://orcid.org/0000-0003-2156-0560
Yumeng ZhouInstrumental Analysis Center Dalian University of Technology Dalian China.
Shengyang TaoState Key Laboratory of Fine Chemicals Frontier Science Center for Smart Materials School of Chemistry Dalian University of Technology Dalian China.ORCID https://orcid.org/0000-0002-0567-8860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional polymer microspheres have broad application prospects in various fields, such as metal ion detection, adsorption, separation, and controlled drug release. However, integrating different functions in a single microsphere system is a significant challenge in this field. In this work, we prepared multicompartmental emulsion droplets utilizing microfluidic technology. Fe

Indexed as

functional microspheresmachine learningmetal ions detectionmicrofluidicsprincipal component analysis

Identifiers

PMID40626073
PMCPMC12118306

What OpenQuestion holds

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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.