Evidence map›Paper›PMID 41869292›Full record

ArticleNational science review2026

A tailored MoS

Liang Mei, Chun Ming How, Mingzi Sun, Ruixin Yan, Weikang Zheng, Yue Zhang, Honglu Hu, Bolong Huang, Jian-Wen Qiu, Zhiyuan Zeng and 1 more

Abstract read
In one paragraph

Article in National science review, 2026. 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. Article
  2. Article
  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

11 authors.

Liang MeiDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Chun Ming HowState Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Mingzi SunDepartment of Chemistry, City University of Hong Kong, Hong Kong 999077, China.
Ruixin YanDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Weikang ZhengDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Yue ZhangDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Honglu HuDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Bolong HuangDepartment of Chemistry, City University of Hong Kong, Hong Kong 999077, China.ORCID https://orcid.org/0000-0002-2526-2002
Jian-Wen QiuState Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.
Zhiyuan ZengDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong 999077, China.
Kenneth M Y LeungState Key Laboratory of Marine Environmental Health, City University of Hong Kong, Hong Kong 999077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active environmental DNA (eDNA) sampling, typically involving water filtration, offers the advantage of capturing relatively high concentrations of eDNA, making it particularly valuable in aquatic environments with low DNA concentrations. However, this approach faces several limitations, including low DNA-capture efficiency, limited molecular selectivity and the risk of contamination during filtration and handling. Moreover, commonly used membrane materials often lack strong and specific DNA-binding affinity, which reduces detection sensitivity and compromises biodiversity assessment. To address these challenges, we developed a MoS

Indexed as

biodiversity detectioncapture efficiencyenvironmental DNAMoS2 membraneS–N/O bond

Identifiers

PMID41869292
PMCPMC13001590

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.