Evidence map›Paper›PMID 39183882›Full record

ArticleHeliyon2024

Assessing microplastic contamination in soda beverages: A Multi-city, Multi-container laser Direct infrared spectroscopy study.

Yuqi Wang, Yunxiang Wang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

2 authors.

Yuqi WangCapital Normal University High School, Beijing, 100048, China.
Yunxiang WangElectrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microplastics are tiny plastic particles, typically smaller than 5 mm in diameter, that result from the degradation of larger plastic products. Minuscule pollutants are increasingly being found in our food supply, especially in beverages, raising substantial health concerns. Ingested microplastics can release hazardous chemicals and act as carriers of pathogens, leading to adverse health effects upon chronic exposure. Despite the numerous studies on microplastic contamination, few have assessed the influence of geographic location and container type on the presence of microplastics in beverages. Our comprehensive study bridges this research gap by collecting a particular soda beverage from Atlanta, Chicago, Los Angeles, and Washington D.C. and examining three different types of beverage containers: aluminum, glass, and plastic. Using direct laser infrared spectroscopy, we identified the types and quantified the numbers of microplastics. Our statistical analysis, which incorporated principal component analysis, investigated the distribution of microplastics in beverage samples, focusing on the impacts of geographic location and container material. Notably, our analysis revealed that the microplastic profiles were distinguishable in some cities, although not all. Conversely, no distinguishability was revealed between the different container types. This study sheds light on the complex patterns of microplastic contamination according to geographical location and packaging. Our findings contribute to a broader effort to understand and address the widespread challenges of microplastics, with implications for public health and ecosystem preservation.

Indexed as

Laser direct infrared spectroscopyMicroplasticPrincipal component analysisSoda beverage

Identifiers

PMID39183882
PMCPMC11341343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.