ArticleJournal of animal science2022
Inactivation rate of African swine fever virus by a formaldehyde-based product.
Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- ASF outbreaks in Vietnam (2019-2024): insights and lessons learned.Veterinary research communications · 2025Review
- Development of a water-dispersible antimicrobial lipid mixture to inhibit African swine fever virus and other enveloped viruses.Virus research · 2025Article
- Mitigation Strategies for African Swine Fever Virus Biosecurity: From Virus Inactivation to Pig Health.Transboundary and emerging diseases · 2025Review
- Postmanufacturing techniques for mitigation of viral pathogens in porcine-derived feed ingredients: a review.Translational animal science · 2024Article
- Stability of a surrogate African swine fever-like algal virus in corn- and soybean-based feed ingredients during extended storage andFrontiers in veterinary science · 2024Article
- African Swine Fever: A Review of Current Disease Management Strategies and Risks Associated with Exhibition Swine in the United States.Animals : an open access journal from MDPI · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
African swine fever (ASF) is an important transboundary animal disease with a high mortality rate. The high African swine fever virus (ASFV) titers in the excretion of infected wild boar possibly contaminate the feed ingredient. Once contaminated, it could support persistent residual titer of the ASFV. The chemical inactivation of imported feed ingredients is a precautionary risk management measure to restrict the import risk of ASFV through international trade. The log ASFV titers were linearly reduced as a function of the inactivation time after exposure to 0.03%, 0.05%, 0.1%, and 0.2% formaldehyde-based product (FBP). A four-log reduction of ASFV titer was achieved after exposure to 0.2% FBP and 0.03%-0.1% FBP for 30-min and 60-min inactivation times, respectively. The decimal reduction time or D value is defined as the time required to inactivate the virus titer by 1 log. The ASFV inactivation rate from the independent experiment of FBP concentration was converted to a D value. The observed mean D0.2%, D0.1%, D0.05%, and D0.03% of FBP were 13.4, 44.9, 45.0, and 45.3 min per log reduction of ASFV, respectively. The interpretation of D0.2% of FBP is that the ASFV titer is inactivated by 1 log after being exposed to 0.2% FBP for every 13.4 min. A more effective chemical has a lower D value because of a shorter inactivation time required to achieve the same 1-log reduction. In addition, the hypothetical inactivation time by any chemical additive is scenario-specific and is calculated by the product of D value (at a certain concentration) and log titers of residual ASFV. This study introduces the concept and application of the D value to compare the virucidal activity of chemicals and to determine the hypothetical inactivation time of chemicals depending on the chemical concentration including the virus titer in the feed.
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Registered trials
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.