Evidence map›Paper›PMID 40941084›Full record

ArticleFoods (Basel, Switzerland)2025

Optimized Method for Quantifying Bisphenols in Bottled Water and PET/rPET Matrices.

Fabiana Di Duca, Paolo Montuori, Elvira De Rosa, Immacolata Russo, Raffaele Palladino, Stefano Scippa, Giuseppe Dadà, Maria Triassi, Sergi Díez

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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.

Fabiana Di DucaDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-8677-8619
Paolo MontuoriDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-8745-232X
Elvira De RosaDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Immacolata RussoDepartment of Public Health, University Hospital of Naples "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Raffaele PalladinoDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Stefano ScippaDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Giuseppe DadàCORIPET-Consorzio Volontario per Riciclo del PET, Via S. Maurilio 23, 20123 Milan, Italy.
Maria TriassiDepartment of Public Health, University "Federico II", Via Sergio Pansini 5, 80131 Naples, Italy.
Sergi DíezEnvironmental Chemistry Department, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, C/Jordi Girona, 18-26, E-08034 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing use of plastics in food packaging has raised concerns about chemical migration into consumables, posing potential health risks. Ensuring the safety of packaging materials is a critical public health priority. This study aimed to validate an analytical method for qualitative and quantitative determination of BPs in bottled water and evaluate their presence in PET and rPET matrices. The method was validated through recovery tests for eight BPs (Bisphenol A, Bisphenol S, Bisphenol F, Bisphenol AF, Bisphenol AP, Bisphenol B, Bisphenol Z, and Bisphenol P). Linearity (R

Indexed as

analytical method developmentbisphenolsNon-Intentionally Added Substances (NIAS)Polyethylene Terephthalate (PET)recycled PET (rPET)

Identifiers

PMID40941084
PMCPMC12428101

What OpenQuestion holds

Textmetadata
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.