Evidence map›Paper›PMID 42197896›Full record

ArticleSensors (Basel, Switzerland)2026

A Pollution Detection System for Plastic Ocean Waste Based on Energy-Harvesting Radio Transmitters.

Vitalii Beschastnyi, Darya Ostrikova, Konstantin Samouylov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Vitalii BeschastnyiDepartment of Probability Theory and Cybersecurity, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.ORCID 0000-0003-1373-4014
Darya OstrikovaDepartment of Probability Theory and Cybersecurity, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.ORCID 0000-0002-2795-6251
Konstantin SamouylovDepartment of Probability Theory and Cybersecurity, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.ORCID 0000-0002-6368-9680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the constant increase in the usage of plastic bottles in food production, ocean pollution has become a significant problem. The ability to organize in large fields is one of the critical problems nowadays, and their detection for further removal is a challenge. In this study, we propose the idea of equipping some of the plastic bottles on the production lines with simple radio-emitting equipment capable of signaling the presence of plastic bottle fields in the ocean to nearby vessels. The proposed idea is based on ultra-low-power energy harvesting that utilizes inherent wave energy. To assess the performance of the proposed framework, we developed a performance evaluation framework that captures the main specifics of the proposed detection system, including the probability of detecting at least one waste field and all waste fields in a given region. To showcase the potential of the proposed idea in this study, we also demonstrate that ultra-low-power harvesting using ocean waves is feasible. Our numerical results illustrate that for typical environmental parameters, the time range for detecting all waste fields in the area scales from 4-6 h to a few days at most. Additionally, the probability of detecting the presence of waste in the area is 2-3 times higher, potentially allowing for extremely fast detection and timely removal. We emphasize that the proposed system can be used to complement the currently available systems, not to replace them completely.

Indexed as

energy harvestingocean pollutionultra-low-frequencyultra-low-powerwireless sensor networks

Identifiers

PMID42197896
PMCPMC13210922

What OpenQuestion holds

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LicenceCC BY
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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.