Evidence map›Paper›PMID 42750919›Full record

ArticleMethodsX2026

QuickConc Vacuum: A high-sensitive cationic-assisted method for large-volume eDNA concentration and sensitive biodiversity monitoring.

Tomohiro Kuroita, Qianqian Wu, Ryo Iwamoto, Toshifumi Minamoto

Abstract read
In one paragraph

Article in MethodsX, 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

4 authors.

Tomohiro KuroitaAdvanSentinel Inc., 3-1-8, Doshomachi, Chuo-ku, Osaka, 541-0045, Japan.
Qianqian WuGraduate School of Human Development and Environment, Kobe University, 3-11 Tsurukabuto, Nada-ku, Kobe, Hyogo, 657-8501, Japan.
Ryo IwamotoAdvanSentinel Inc., 3-1-8, Doshomachi, Chuo-ku, Osaka, 541-0045, Japan.
Toshifumi MinamotoGraduate School of Human Development and Environment, Kobe University, 3-11 Tsurukabuto, Nada-ku, Kobe, Hyogo, 657-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) analysis enables biodiversity surveys with minimal disturbance to aquatic environment. We previously developed QuickConc to capture eDNA by combining dispersed glass fibers with quaternary ammonium surfactants, but manual processing limited small volumes. Here, we introduce QuickConc Vacuum (QCV), an advanced protocol adapting this cationic-assisted technology for vacuum filtration to process liter-scale samples. We performed comparisons with glass fiber filters (GF) and Sterivex, using aquarium water and field seawater. In aquarium experiments, total eDNA yield positively correlated with volume for all methods, with QCV showing significantly higher total eDNA at 2 L. While species-specific yields showed no significant differences among methods, metabarcoding revealed that QCV and Sterivex detected significantly higher fish-species richness than GF. In field seawater trials, QCV consistently recovered higher eDNA yields and detected significantly more fish species at the 2 L volume compared to other methods. QCV successfully overcomes the volume limitations of the original method while maintaining high eDNA yields, providing a robust solution for high-sensitivity eDNA monitoring in aquatic ecosystems.•QCV is a vacuum-filtration protocol based on the cationic-assisted capture technology using dispersed glass fibers for efficient eDNA binding.•QCV is designed to process liter-scale environmental water samples.

Indexed as

Biodiversity monitoringEnvironmental DNAFiltrationMetabarcodingPCRSea water

Identifiers

PMID42750919
PMCPMC13578458

What OpenQuestion holds

Textmetadata
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.