Cargando…

Improvement of quantitative microbiological risk assessment (QMRA) methodology through integration with gaenetic data

Quantitative microbiological risk assessment (QMRA) methodology aims to estimate and describe the transmission of pathogenic microorganisms from animals and food to humans. In microbiological literature, the availability of whole genome sequencing (WGS) data is rapidly increasing, and incorporating...

Descripción completa

Detalles Bibliográficos
Autores principales:	Arnaboldi, Sara, Benincà, Elisa, Evers, Eric G.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Eu‐fora Series 6
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687759/ https://www.ncbi.nlm.nih.gov/pubmed/38047129 http://dx.doi.org/10.2903/j.efsa.2023.e211003

Ejemplares similares

Modelling of inactivation through heating for quantitative microbiological risk assessment (QMRA)
por: Pesciaroli, M, et al.
Publicado: (2018)

Modelling and magnitude estimation of cross‐contamination in the kitchen for quantitative microbiological risk assessment (QMRA)
por: Iulietto, Maria Francesca, et al.
Publicado: (2020)

Training in modern statistical methodologies and software tools for the definition and analysis of (stochastic) quantitative microbial risk assessment models with a comparison between the Hungarian and Spanish food supply chains
por: Pleva, Dániel, et al.
Publicado: (2023)

Quantitative tools in microbial and chemical risk assessment
por: Stratev, Deyan, et al.
Publicado: (2023)

Quantitative tools in microbial and chemical risk assessment
por: Zabulionė, Aelita, et al.
Publicado: (2023)

Training in tools to develop quantitative microbial risk assessment of ready‐to‐eat food with a comparison between the Romanian and Spanish food supply chains
por: Bodea, Ioana M, et al.
Publicado: (2023)

Improving the risk assessment of antimicrobial resistance (AMR) along the food/feed chain and from environmental reservoirs using qMRA and probabilistic modelling
por: Niegowska, M, et al.
Publicado: (2022)

Determination of plastic polyester oligomers in real samples and their bioeffects
por: Di Lonardo, Sara, et al.
Publicado: (2023)

Foreword
Publicado: (2023)

Training in the evaluation of pesticides (plant protection products and active substances) according to Regulation (EC) No 1107/2009
por: Cilia, Nicole, et al.
Publicado: (2023)

Assessing Portuguese health risks: Anisakiks parasite in Atlantic chub mackerel (Scomber colias) sold in Portuguese markets
por: Asatryan, Armine, et al.
Publicado: (2023)

Risk assessment of food contact materials
por: Ramírez, Viviana, et al.
Publicado: (2023)

Microbiota analysis for risk assessment of xenobiotic exposure and the impact on dysbiosis: identifying potential next‐generation probiotics
por: López‐Moreno, Ana, et al.
Publicado: (2023)

Introduction
por: Villamar, Victoria
Publicado: (2023)

Threat or treat: Exposure assessment and risk characterisation of chemical contaminants in soft drinks and chocolate bars in various Polish population age groups
por: Marincich, Lorenzo, et al.
Publicado: (2023)

Results of multi‐actor collaboration in risk analysis: a simplified risk assessment toolkit for rapid detection of emerging risks
por: Meerpoel, Celine, et al.
Publicado: (2023)

Unveiling the potential of proteomics in addressing food and feed safety challenges
por: Perkons, Ingus, et al.
Publicado: (2023)

Toxicometabolomics as a tool for next generation environmental risk assessment
por: Bernhard, Annette, et al.
Publicado: (2023)

Cumulative risk assessment with pesticides in the framework of MRL setting
por: Grosssteiner, Ingo, et al.
Publicado: (2023)

Quantitative microbiological risk assessment of traditional food of animal origin produced in short supply chains in Poland
por: Stefanou, Constantine‐Richard, et al.
Publicado: (2022)

Risk ranking of chemical and microbiological hazards in food
por: Langerholc, T, et al.
Publicado: (2018)

Risk assessment of antimicrobial resistance along the food chain through culture‐independent methodologies
por: Likotrafiti, E, et al.
Publicado: (2018)

Monitoring AMR in Campylobacter jejuni from Italy in the last 10 years (2011–2021): Microbiological and WGS data risk assessment
por: Conesa, A, et al.
Publicado: (2022)

Training in tools to develop quantitative microbial risk assessment along the food chain of Spanish products
por: Zambon, Alessandro, et al.
Publicado: (2022)

Risk assessment methodologies in the field of contaminants, food contact materials, technological ingredients and nutritional risks
por: Cătunescu, Giorgiana M, et al.
Publicado: (2019)

Integration of computational tools, data analysis and social science into food safety risk assessment
por: Lorenzoni, Andrea, et al.
Publicado: (2020)

Quantitative risk assessment of Listeria monocytogenes in a traditional RTE product
por: Hadjicharalambous, Chrystalleni, et al.
Publicado: (2019)

Training in tools to develop Quantitative Risk Assessment using Spanish ready‐to‐eat food examples
por: Georgalis, Leonidas, et al.
Publicado: (2020)

Emerging risk identification by applying data analytical tools
por: Palmas, Elisa, et al.
Publicado: (2022)

Training in tools to develop quantitative risk assessment of fresh produce using water reuse systems in Mediterranean production
por: Papadopoulos, Theofilos, et al.
Publicado: (2022)

Integration of genomics in surveillance and risk assessment for outbreak investigation
por: Pennone, Vincenzo, et al.
Publicado: (2022)

Chemical risks associated with ready‐to‐eat vegetables: quantitative analysis to estimate formation and/or accumulation of disinfection byproducts during washing
por: Gadelha, JR, et al.
Publicado: (2019)

Integration of tools and social science into food safety risk assessments
por: Valanou, E, et al.
Publicado: (2020)

Assessment of combined risk to pesticide residues through dietary exposure
por: Chatzidimitriou, E, et al.
Publicado: (2019)

Risk Assessment of Food Contact Materials
por: Beneventi, Elisa, et al.
Publicado: (2020)

The use of NAMs and omics data in risk assessment
por: Miccoli, Andrea, et al.
Publicado: (2022)

Assessment of endocrine disruptive properties of PFOS: EFSA/ECHA guidance case study utilising AOP networks and alternative methods
por: Pípal, Marek, et al.
Publicado: (2022)

Preparation of Dutch food consumption data for risk assessment
por: Nelis, K, et al.
Publicado: (2018)

Application of data science in risk assessment and early warning
por: Czyż, Michał Jan, et al.
Publicado: (2018)

Application of data science in risk assessment and early warning
por: Pavlidis, Dimitrios E, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_hh49i7hhn32bk9lfa3u0jgbho2