Evidence map›Paper›PMID 42319511›Full record

ArticleMikrochimica acta2026

Enzyme-functionalized electrochemical sensor for unified quantification of multiple bioabsorbable nanoplastic types in human urine.

Xin Li, Xiaoli Gou, Juan Xiang

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

3 authors.

Xin LiCollege of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan Province, 410083, P. R. China.
Xiaoli GouCollege of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan Province, 410083, P. R. China.
Juan XiangCollege of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan Province, 410083, P. R. China. xiangj@csu.edu.cn.ORCID 0000-0001-7320-8441

Funding

the National Natural Science Foundation of China 21573290the Natural Science Foundation of Changsha kq2202071
6 · The paper itself

Abstract

Nanoplastics pose emerging health risk, yet no existing analytical method can quantitatively detect sub‑300 nm nanoplastics in human urine, mainly due to insufficient sensitivity and polymer-dependent limitations. Here, we report a catalase (CAT)‑based electrochemical sensing platform that enables the first quantitative detection of sub‑300 nm nanoplastics in human urine. The sensor leverages a nanoplastic‑induced structural perturbation mechanism, in which hydrophobic‑dominant and electrostatic‑synergistic interactions between nanoplastics and catalase enhance enzymatic activity and generate an amplified electrochemical signal. This mechanism provides unified detection across multiple polymer types and sizes, overcoming the material‑specific limitations of existing analytical approaches. The platform achieves ng·L

Indexed as

CatalaseElectrochemical TechniquesMicroplasticsUrineBiosensing TechniquesEnzymes, ImmobilizedHumansCatalaseEnzymes, ImmobilizedMicroplasticsAuNPsCatalaseElectrochemical platformNanoplasticsUrine

Identifiers

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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.