Evidence map›Paper›PMID 39604533›Full record

ArticleAnalytical and bioanalytical chemistry2025

Evaluating the capacity of magnetic ionic liquids for separation and concentration of non-enveloped viral particles and free viral genomic RNA.

Sloane Stoufer, Minji Kim, Shashini De Silva, Jared L Anderson, Byron F Brehm-Stecher, Matthew D Moore

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Sloane StouferDepartment of Food Science, University of Massachusetts, Amherst, MA, USA.
Minji KimDepartment of Food Science, University of Massachusetts, Amherst, MA, USA.
Shashini De SilvaDepartment of Chemistry, Iowa State University, Ames, IA, USA.
Jared L AndersonDepartment of Chemistry, Iowa State University, Ames, IA, USA.
Byron F Brehm-StecherDepartment of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA.
Matthew D MooreDepartment of Food Science, University of Massachusetts, Amherst, MA, USA. mdmoore@umass.edu.

Funding

National Institute of Food and Agriculture 2022-67021-36408National Institute of Food and Agriculture 2024-67017-42443National Institute of Food and Agriculture NIFA 2023-67011-40392 FELLOWSHIP
6 · The paper itself

Abstract

Magnetic ionic liquids (MILs) have proven effective as capture reagents for foodborne bacterial pathogens; however, there are currently no published studies regarding their use with foodborne, non-enveloped viruses. In this study, a protocol was evaluated for capture and recovery of bacteriophage MS2, a human norovirus surrogate, and purified viral genomic single stranded RNA (ssRNA) from an aqueous suspension using MILs. Transition metal-based MILs showed similar capture and recovery efficiency for both targets. A rare earth metal-based MIL showed much greater capture efficiency than the transition metal-based MILs, but displayed similar recovery. All tested MILs showed slightly higher capture and recovery efficiency for free RNA in comparison to intact virus, though overall trends were similar, and most MILs could recover both targets at as little as 10

Indexed as

Ionic LiquidsLevivirusRNA, ViralGenome, ViralHumansLactucaVirionIonic LiquidsRNA, ViralCapture and concentrationFoodborne virusesMagnetic ionic liquidsSample preparationVirus detection

Identifiers

PMID39604533
PMCPMC11698852

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.