Evidence map›Paper›PMID 38750101›Full record

ArticleScientific reports2024

Microplastics and non-natural cellulosic particles in Spanish bottled drinking water.

Virginia Gálvez-Blanca, Carlos Edo, Miguel González-Pleiter, Francisca Fernández-Piñas, Francisco Leganés, Roberto Rosal

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Virginia Gálvez-BlancaDepartment of Chemical Engineering, Universidad de Alcalá, 28871, Alcalá de Henares, Madrid, Spain.
Carlos EdoDepartment of Chemical Engineering, Universidad de Alcalá, 28871, Alcalá de Henares, Madrid, Spain.
Miguel González-PleiterDepartment of Biology, Faculty of Science, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
Francisca Fernández-PiñasDepartment of Biology, Faculty of Science, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
Francisco LeganésDepartment of Biology, Faculty of Science, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
Roberto RosalDepartment of Chemical Engineering, Universidad de Alcalá, 28871, Alcalá de Henares, Madrid, Spain. roberto.rosal@uah.es.

Funding

Spanish Government, Ministry of Science and Innovation PID2020-113769RB-C21/C22Spanish Government, Ministry of Science and Innovation PLEC2021-007693Spanish Government, Ministry of Science and Innovation TED2021-131609B-C32/33
6 · The paper itself

Abstract

This investigation explored the presence of microplastics (MPs) and artificial cellulosic particles (ACPs) in commercial water marketed in single use 1.5 L poly(ethylene terephthalate) bottles. In this work we determined a mass concentration of 1.61 (1.10-2.88) µg/L and 1.04 (0.43-1.82) µg/L for MPs and ACPs respectively in five top-selling brands from the Spanish bottled water market. Most MPs consisted of white and transparent polyester and polyethylene particles, while most ACPs were cellulosic fibers likely originating from textiles. The median size of MPs and ACPs was 93 µm (interquartile range 76-130 µm) and 77 µm (interquartile range 60-96 µm), respectively. Particle mass size distributions were fitted to a logistic function, enabling comparisons with other studies. The estimated daily intake of MPs due to the consumption of bottled water falls within the 4-18 ng kg

Indexed as

Drinking WaterMicroplasticsWater Pollutants, ChemicalCelluloseHumansParticle SizePolyethylene TerephthalatesSpainCelluloseDrinking WaterMicroplasticsPolyethylene TerephthalatesWater Pollutants, Chemical

Identifiers

PMID38750101
PMCPMC11096351

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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.