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Farm to Fork Quantitative Microbial Risk Assessment for Norovirus on Frozen Strawberries

Descriptive

TypeOfResource
Text
TitleInfo
Title
Farm to Fork Quantitative Microbial Risk Assessment for Norovirus on Frozen Strawberries
Name (type = personal)
NamePart (type = family)
Miranda
NamePart (type = given)
Robyn C.
Affiliation
Food Science, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0001-9200-0400)
NamePart (type = family)
Schaffner
NamePart (type = given)
Donald W.
Affiliation
Food Science, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Food Science
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Environmental and Biological Sciences (SEBS)
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Accepted Manuscript (AM)
Note (type = peerReview)
Peer reviewed
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2018
PhysicalDescription
InternetMediaType
application/pdf
Extent
40 pages
Extension
DescriptiveEvent
Type
Citation
AssociatedObject
Name
Microbial Risk Analysis
Type
Journal
Relationship
Has part
Reference (type = url)
https://doi.org/10.1016/j.mran.2018.06.002
DateTime (encoding = w3cdtf)
2018
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Subject (authority = local)
Topic
Norovirus
Subject (authority = local)
Topic
Frozen fruit
Subject (authority = local)
Topic
Strawberries
Subject (authority = local)
Topic
Quantitative microbial risk assessment
Abstract (type = abstract)
Foodborne illness outbreaks have been increasingly linked to the consumption of fresh and frozen berries that were contaminated with pathogenic viruses, such as human norovirus (NoV). Contamination of berries is assumed to take place at harvest by the use of contaminated water for pesticide dilution, irrigation water source or by shedding berry pickers in the field. A quantitative microbial risk assessment simulation model was built to replicate the largest known NoV outbreak which sickened about 11,000 people over a 3-week period. The outbreak occurred in Germany in 2012 when contaminated frozen strawberries were served at nearly 400 schools and daycare centers. The risk model explicitly assumed that all contamination would arise from NoV contamination of surface water used for pesticide dilution. Input data was collected from the published literature, observational studies and assumptions. The model starts with contamination of the berries in the field, and proceeds through transportation to processing facility, washing, sanitizing, freezing, frozen transport to cargo ship, transport view of cargo ship, transport to distribution center, frozen storage at the distribution center, transport to the catering facility, food service preparation and consumption, dose response, and predicted illnesses. A total of 21 scenarios were chosen to evaluate the impact of model parameters on the number of illness associated with NoV contamination of berries. Scenarios evaluated include the initial level of NoV in surface water, the effect of seasonality on the prevalence of NoV in surface water, the strength of the pesticide used, the volume of water used to dilute the pesticide, temperature during transportation to processing facility, washing and sanitizing conditions at processing facility and preparation (heat-treatment) of berries prior to consumption. Scenarios were compared via the Factor Sensitivity technique where the logarithm of the ratio of mean illnesses was used to compare different assumptions. The input that had the greatest effect on increasing in the number of illnesses was a high NoV concentration in the water (8 log Genome Copies/L) when compared to the baseline scenario with resulting mean illnesses of 7,964 illnesses and ~2 illnesses, respectively. This assumption about the concentration of virus in the pesticide makeup water was the only variable capable of producing an outbreak similar to that observed in Germany in 2012. Heat-treatment of the berries, use of a pesticide with strong antiviral effect, and assumption about the virus concentration in the pesticide make-up water had the largest impact on decreasing illnesses.
RelatedItem (type = host)
TitleInfo
Title
Schaffner, Donald W.
Identifier (type = local)
rucore30170500001
RelatedItem (type = host)
TitleInfo
Title
Miranda, Robyn C.
Identifier (type = local)
rucore30252100001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3Z60SDR
Genre (authority = ExL-Esploro)
Accepted Manuscript
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Rights

RightsDeclaration (AUTHORITY = FS); (TYPE = [FS] statement #1); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (point = end); (qualifier = exact); (keyDate = no)
2019-06-20
DateTime (encoding = w3cdtf); (point = start); (qualifier = exact); (keyDate = no)
2018-06-17
Detail
Access to this PDF has been restricted at the publisher's request. It will be publicly available after June 20, 2019.
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.3
ApplicationName
Mac OS X 10.13.5 Quartz PDFContext
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-06-17T14:53:47
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-06-17T14:53:47
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