Evidence map›Paper›PMID 39895911›Full record

ArticleHardwareX2025

PolyWAG: Autonomous filtered water sampling for eDNA.

Riley Prince, Kai Roy, Nathan Jesudason, Marc Belinga, Jacob Field, Dylan Heiesy, Aaron Arvidson, Torrey Menne, John Selker, Chet Udell

Abstract read
In one paragraph

Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Education and technology synergy in environmental sensing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    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

10 authors.

Riley PrinceOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Kai RoyOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Nathan JesudasonOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Marc BelingaOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Jacob FieldOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Dylan HeiesyOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Aaron ArvidsonOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Torrey MenneOPEnS Lab, Oregon State University, Corvallis, OR, United States.
John SelkerOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Chet UdellOPEnS Lab, Oregon State University, Corvallis, OR, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) is an ideal way of researching aquatic environments and determining what species are present in an area the biodiversity of an area, and if any invasive or endangered species are present. Traditional sampling of eDNA consists of manually filtering water, which is labor and cost-intensive for remote locations. Furthermore, commercialized solutions are either expensive or require a field operator to function. We have built a battery-powered eDNA sampler capable of autonomous multi-sampling for a greatly reduced price compared to existing technologies. Environmental DNA collection contains 3 main components: environmental DNA must be preserved, the filtered volume must be accurate, and there must be no cross-contamination between samples. The sampler operates in this way separating eDNA via filters, preserving DNA, and recording the filtered volume per sample. Our PolyWAG eDNA sampler system is a water sampling device that collects DNA samples via 47 mm filter and provides a non-invasive, safe and autonomous means of eDNA collection. The sampler can hold 24 filters and is designed to be easily replaced and reusable. A browser application is used for real-time monitoring, scheduling tasks, and data logging for time, pressure, flow, and filtered volume. Additionally, the sampler design is openly published, modular and is constantly being tested to help us optimize our software and hardware to give us the best results. The 13-step sampling sequence helps reduce cross contamination significantly. Our machine can be deployed for an extended period. It is completely autonomous and costs around $3800 for components or $6000 including labor.

Indexed as

ArduinoData loggingEnvironmental DNASampling

Identifiers

PMID39895911
PMCPMC11783023

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.