ArticleJournal of animal science2018
Evaluation of the effects of flushing feed manufacturing equipment with chemically treated rice hulls on porcine epidemic diarrhea virus cross-contamination during feed manufacturing.
Article in Journal of animal science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Porcine Enteric Coronaviruses: Origins, Global Spread, Transmission Pathways and Pathogenesis.Transboundary and emerging diseases · 2026Review
- Traditional Chinese medicine as a promising choice for future control of PEDV.Virus research · 2025Review
- Postmanufacturing techniques for mitigation of viral pathogens in porcine-derived feed ingredients: a review.Translational animal science · 2024Article
- Biosecurity and Mitigation Strategies to Control Swine Viruses in Feed Ingredients and Complete Feeds.Animals : an open access journal from MDPI · 2023Review
- Feed Safety and the Development of Poultry Intestinal Microbiota.Animals : an open access journal from MDPI · 2022Review
- Evaluating the effect of temperature on viral survival in plant-based feed during storage.Transboundary and emerging diseases · 2022Article
- Effect of mixing and feed batch sequencing on the prevalence and distribution of African swine fever virus in swine feed.Transboundary and emerging diseases · 2022Article
- Using environmental sampling to evaluate the effectiveness of decontamination methods to reduce detection of porcine epidemic diarrhea virus RNA on feed manufacturing surfaces.Translational animal science · 2021Article
- Risk and Mitigation of African Swine Fever Virus in Feed.Animals : an open access journal from MDPI · 2021Review
- Biosecurity in pig farms: a review.Porcine health management · 2021Review
- Evaluating the distribution of African swine fever virus within a feed mill environment following manufacture of inoculated feed.PloS one · 2021Article
- The risk of viral transmission in feed: What do we know, what do we do?Transboundary and emerging diseases · 2020Review
- Reviewing the risk of feed as a vehicle for swine pathogen transmission.Veterinary medicine and science · 2020Review
- Effects of medium chain fatty acids as a mitigation or prevention strategy against porcine epidemic diarrhea virus in swine feed.Journal of animal science · 2020Article
- Assessing the effects of medium-chain fatty acids and fat sources on PEDV infectivity.Translational animal science · 2020Article
- Validation of sampling methods in bulk feed ingredients for detection of swine viruses.Transboundary and emerging diseases · 2020Article
- Risk Attitudes Affect Livestock Biosecurity Decisions With Ramifications for Disease Control in a Simulated Production System.Frontiers in veterinary science · 2019Article
- Swine enteric coronavirus disease: A review of 4 years with porcine epidemic diarrhoea virus and porcine deltacoronavirus in the United States and Canada.Transboundary and emerging diseases · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Various strategies have been proposed to mitigate potential risk of porcine epidemic diarrhea virus (PEDV) transmission via feed and feed ingredients. Wet disinfection has been found to be the most effective decontamination of feed mill surfaces; however, this is not practical on a commercial feed production scale. Another potential mitigation strategy would be using chemically treated rice hulls flushed through the feed manufacturing equipment. Therefore, the objective of this study was to determine the effects of medium-chain fatty acids (MCFA) or formaldehyde-treated rice hull flush batches as potential chemical mitigation strategies for PEDV during feed manufacturing. Feed without evidence of PEDV RNA contamination was inoculated with PEDV. Based on polymerase chain reaction analysis, this feed had a cycle threshold (Ct) = 30.2 and was confirmed infective in bioassay. After manufacturing the PEDV-positive feed, untreated rice hulls, formaldehyde-treated rice hulls, 2% MCFA- (a 1:1:1 blend of hexanoic, octanoic, and decanoic acid) treated rice hulls, or 10% MCFA-treated rice hulls were flushed through laboratory scale mixers. For the untreated rice hulls, 3 of 6 samples had detectable PEDV RNA, whereas 1 of 6 formaldehyde-treated rice hull flush samples and 2 of 6 of the 2% MCFA rice hull flush samples had detectable PEDV RNA. However, PEDV RNA was not detected in any of the 10% MCFA rice hull flush samples. Then, rice hulls treated with 10% MCFA were mixed and discharged through a production scale mixer and bucket elevator following PEDV-positive feed. No rice hull flush or feed samples from the mixer following chemically treated rice hull flush had detectible PEDV RNA. However, one 10% MCFA rice hull sample collected from the bucket elevator discharge spout had detectible PEDV RNA. Dust collected following mixing of PEDV contaminated feed had detectable PEDV RNA (Ct = 29.4) and was infectious. However, dust collected immediately after the 10% MCFA rice hull flush batch had a reduced quantity of PEDV RNA (Ct = 33.7) and did not cause infection. Overall, the use of rice hull flushes effectively reduced the quantity of detectible RNA present after mixing a batch of PEDV-positive feed. Chemical treatment of rice hulls with formaldehyde or 10% MCFA provided additional reduction in detectible RNA. Finally, dust collected after manufacturing PEDV-inoculated feed has the potential to serve as a vector for PEDV transmission.
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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.