Evidence map›Paper›PMID 40732485›Full record

ArticleSensors (Basel, Switzerland)2025

Magnetically Retrievable Nanoparticles with Tailored Surface Ligands for Investigating the Interaction and Removal of Water-Soluble PFASs in Natural Water Matrices.

Yunfei Zhang, Jacqueline Ortiz, Shi He, Xianzhi Li, Bableen Kaur, Bing Cao, Zachariah Seiden, Shuo Wu, He Wei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Yunfei ZhangDepartment of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.ORCID 0009-0000-1169-7702
Jacqueline OrtizDepartment of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.ORCID 0009-0002-2902-0999
Shi HeDepartment of Electrical and Computer Engineering, California State University Fresno, 2320 E San Ramon Ave, Fresno, CA 93740, USA.ORCID 0000-0002-5713-8233
Xianzhi LiDepartment of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.
Bableen KaurDepartment of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.
Bing CaoZ18 Engineering, 1164 Winding Way Drive, Knoxville, TN 37923, USA.
Zachariah SeidenZ18 Engineering, 1164 Winding Way Drive, Knoxville, TN 37923, USA.
Shuo WuDepartment of Electrical and Computer Engineering, California State University Fresno, 2320 E San Ramon Ave, Fresno, CA 93740, USA.ORCID 0000-0001-6146-3613
He WeiDepartment of Chemistry and Biochemistry, California State University Fresno, 2555 E San Ramon Ave, Fresno, CA 93740, USA.ORCID 0000-0001-7188-8105

Funding

California State University (CSU), Fresno Start-up funds and STEAM Summer Research Program
6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFASs) are synthetic chemicals widely used in industrial applications and have become persistent environmental contaminants due to their chemical stability. Water-soluble PFASs with fewer than ten carbon atoms, such as perfluorooctanoic acid (PFOA), are particularly concerning because of their high solubility in water, environmental mobility, and resistance to degradation. In this work, we present an eco-friendly Fe

Indexed as

iron oxide magnetic nanoparticle (MNP)ligand-mediated magnetic separationnanoparticle–PFAS interactionsper- and polyfluoroalkyl substances (PFASs)perfluorooctanoic acid (PFOA)

Identifiers

PMID40732485
PMCPMC12298407

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.