Evidence map›Paper›PMID 42293669›Full record

ReviewFrontiers in public health2026

A review of pretreatment methods and detection techniques for nonylphenol.

Hao Yao, Jie Yu, Jie Xu

Abstract readReview
In one paragraph

Review in Frontiers in public health, 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.

Hao Yao *School of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.
Jie Yu *School of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.
Jie XuSchool of Public Health, Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonylphenol (NP) is a ubiquitous endocrine-disrupting chemical with confirmed adverse effects on multiple human physiological systems, posing urgent demands for its accurate detection in environmental and biological matrices. This review aims to systematically summarize the pretreatment methods and mainstream detection techniques for NP, with a critical synthesis of their analytical performance, applicable scenarios, advantages, and limitations. Core comparative findings are clarified: chromatography-mass spectrometry technologies (LC-MS/MS, GC-MS) are the gold standard for trace NP detection in complex matrices, with differentiated pretreatment requirements; HPLC has wide applicability but limited sensitivity for ultra-trace analysis; immunological assays are suitable for rapid on-site screening but with high detection limits. This work provides standardized guidance for NP detection method selection, directly supporting environmental monitoring and health risk assessment of NP.

Indexed as

Endocrine DisruptorsEnvironmental MonitoringEnvironmental PollutantsPhenolsGas Chromatography-Mass SpectrometryHumansLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryEndocrine DisruptorsEnvironmental PollutantsnonylphenolPhenolsdetection techniquesecological risk assessmentendocrine disruptornonylphenolpretreatment methods

Identifiers

PMID42293669
PMCPMC13260600

What OpenQuestion holds

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LicenceCC BY
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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.