Evidence map›Paper›PMID 41210802›Full record

ArticleACS omega2025

Proof-of-Concept Nanoparticle-Based Biosensor for Detecting the African Swine Fever Virus Across Multiple Genotypes Using In Silico and In Vitro Approaches.

Chelsie Boodoo, Evangelyn C Alocilja

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

2 authors.

Chelsie BoodooDepartment of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, 48824 Michigan, United States.ORCID https://orcid.org/0000-0003-4524-8512
Evangelyn C AlociljaDepartment of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, 48824 Michigan, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever virus (ASFV) is a viral hemorrhagic disease with high lethality in domestic and wild swine, posing a critical threat to global food security and livestock economies. Rapid and accurate detection of ASFV is crucial for effective containment of outbreaks. This study evaluated a gold nanoparticle-based biosensor for the detection of ASFV by targeting the p72 gene using eight oligonucleotide probes. The objective was to identify optimal probes with high sensitivity and specificity, and broad genotypic coverage. Clustal Omega was used to perform multiple sequence alignments between each probe and diverse ASFV genomes. Percentage identity matrices were generated and visualized through heatmaps to assess hybridization strength across genotypes. The biosensor was then tested with synthetic ASFV DNA at a 5 min reaction time, using spectrophotometric analysis to evaluate detection. Sensitivity was measured through serial dilutions of target DNA, and specificity was confirmed using nontarget bacterial DNA. Probes 2 (40 bp, 50.0% GC content) and 5 (60 bp, 54.2% GC content) demonstrated the strongest overall performance, achieving detection of 550 copies with no cross-reactivity and strong binding across multiple ASFV genotypes. Statistical analysis using Spearman's rank correlation demonstrated that GC content was significantly associated with sensitivity (ρ = -0.80,

Identifiers

PMID41210802
PMCPMC12593959

What Socratic 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 Socratic graph.