Quantitative Microbial Risk Assessment for Campylobacter Foodborne Illness in Raw Beef Offal Consumption in South Korea

2017 ◽  
Vol 80 (4) ◽  
pp. 609-618 ◽  
Author(s):  
Jiyeon Jeong ◽  
Jeeyeon Lee ◽  
Heeyoung Lee ◽  
Soomin Lee ◽  
Sejeong Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Predictive Models ◽  
Storage Temperature ◽  
Foodborne Illness ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Consumption Frequency ◽  
Campylobacter Spp ◽  
Home Consumption

ABSTRACT This study evaluated the risk of Campylobacter foodborne illness caused by the intake of raw beef offal in South Korea. The prevalence of Campylobacter spp. in raw beef offal (liver and tripe) was investigated by plating samples on modified charcoal-cefoperazone-deoxycholate agar with Preston enrichment broth. Data were collected about storage temperature and length of storage of raw beef offal, and probabilistic distributions for the data were determined, using @RISK software. Predictive models were developed to describe the fate of Campylobacter in raw beef offal, and the amount and frequency of consumption and dose-response model were surveyed. Subsequently, these data were used to estimate the risk of Campylobacter foodborne illness caused by the intake of raw beef offal. Of 80 beef offal samples, 1 (1.25%) was contaminated with Campylobacter jejuni. Predictive models were used for exposure assessment. An exponential distribution was selected to represent beef offal consumption by people who eat this occasionally, with a mean of 60.2 g and 3.6% monthly consumption frequency. Simulations using @RISK predicted that the probability of Campylobacter foodborne illness per person per month is 1.56 × 10−5 for home consumption and 1.74 × 10−5 for restaurant consumption in South Korea, which indicates the risk of Campylobacter foodborne illness by intake of raw beef offal in South Korea.

scholarly journals Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of Listeria monocytogenes

2020 ◽  
Vol 8 (11) ◽  
pp. 1772
Author(s):  
Patrick Murigu Kamau Njage ◽  
Pimlapas Leekitcharoenphon ◽  
Lisbeth Truelstrup Hansen ◽  
Rene S. Hendriksen ◽  
Christel Faes ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Listeria Monocytogenes ◽  
Stress Response ◽  
Predictive Models ◽  
Population Heterogeneity ◽  
Whole Genome Sequencing Data ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
The Impact

The application of high-throughput DNA sequencing technologies (WGS) data remain an increasingly discussed but vastly unexplored resource in the public health domain of quantitative microbial risk assessment (QMRA). This is due to challenges including high dimensionality of WGS data and heterogeneity of microbial growth phenotype data. This study provides an innovative approach for modeling the impact of population heterogeneity in microbial phenotypic stress response and integrates this into predictive models inputting a high-dimensional WGS data for increased precision exposure assessment using an example of Listeria monocytogenes. Finite mixture models were used to distinguish the number of sub-populations for each of the stress phenotypes, acid, cold, salt and desiccation. Machine learning predictive models were selected from six algorithms by inputting WGS data to predict the sub-population membership of new strains with unknown stress response data. An example QMRA was conducted for cultured milk products using the strains of unknown stress phenotype to illustrate the significance of the findings of this study. Increased resistance to stress conditions leads to increased growth, the likelihood of higher exposure and probability of illness. Neglecting within-species genetic and phenotypic heterogeneity in microbial stress response may over or underestimate microbial exposure and eventual risk during QMRA.

Microbiological Risk from Minimally Processed Packaged Salads in the Dutch Food Chain

2014 ◽  
Vol 77 (3) ◽  
pp. 395-403 ◽  
Author(s):  
ANNEMARIE PIELAAT ◽  
FRANS M. van LEUSDEN ◽  
LUCAS M. WIJNANDS
Keyword(s):  
Risk Assessment ◽  
Quantitative Microbial Risk Assessment ◽  
Concentration Data ◽  
Production Chain ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
E Coli ◽  
Human Illness ◽  
Campylobacter Spp ◽  
Microbiological Surveillance

The objective of this study was to evaluate the microbial hazard associated with the consumption of mixed salads produced under standard conditions. The presence of Salmonella, Campylobacter spp., and Escherichia coli O157 in the Dutch production chain of mixed salads was determined. Microbial prevalence and concentration data from a microbiological surveillance study were used as inputs for the quantitative microbial risk assessment. Chain logistics, production figures, and consumption patterns were combined with the survey data for the risk assessment chain approach. The results of the sample analysis were used to track events from contamination through human illness. Wide 95% confidence intervals around the mean were found for estimated annual numbers of illnesses resulting from the consumption of mixed salads contaminated with Salmonella Typhimurium DT104 (0 to 10,300 cases), Campylobacter spp. (0 to 92,000 cases), or E. coli (0 to 800 cases). The main sources of uncertainty are the lack of decontamination data (i.e., produce washing during processing) and an appropriate dose-response relationship.

Effect of Packaging and Storage Temperature on the Survival of Listeria monocytogenes Inoculated Postprocessing on Sliced Salami

2007 ◽  
Vol 70 (10) ◽  
pp. 2313-2320 ◽  
Author(s):  
ANTONIA S. GOUNADAKI ◽  
PANAGIOTIS N. SKANDAMIS ◽  
ELEFTHERIOS H. DROSINOS ◽  
GEORGE-JOHN E. NYCHAS
Keyword(s):  
Listeria Monocytogenes ◽  
Storage Temperature ◽  
Storage Period ◽  
Storage Conditions ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
C Storage ◽  
High Storage Temperature ◽  
High Concentrations

The survival of postprocess Listeria monocytogenes contamination on sliced salami, stored under the temperatures associated with retail and domestic storage, was investigated. Sliced salami was inoculated with low and high concentrations of L. monocytogenes before being packaged under vacuum or air. Survival of L. monocytogenes was determined after storage of sausages for 45 or 90 days for low or high sample inocula, respectively, at 5, 15, and 25°C. All survival curves of L. monocytogenes were characterized by an initial rapid inactivation within the first days of storage, followed by a second, slower inactivation phase or “tailing.” Greater reduction of L. monocytogenes was observed at the high storage temperature (25°C), followed by ambient (15°C) and chill (5°C) storage conditions. Moreover, vacuum packaging resulted in a slower destruction of L. monocytogenes than air packaging, and this effect increased as storage temperature decreased. Although L. monocytogenes numbers decreased to undetectable levels by the end of the storage period, the time (in days) needed for this reduction and for the total elimination of the pathogen decreased with high temperature, aerobic storage, and high inoculum. Results of this study clearly indicated that the kinetics of L. monocytogenes were highly dependent on the interaction of factors such as storage temperature, packaging conditions, and initial level of contamination (inoculum). These results may contribute to the exposure assessment of quantitative microbial risk assessment and to the establishment of storage-packaging recommendations of fermented sausages.

scholarly journals Quantitative Microbial Risk Assessment for Campylobacter spp. on Ham in Korea

2015 ◽  
Vol 35 (5) ◽  
pp. 674-682 ◽  
Author(s):  
Jeeyeon Lee ◽  
Jimyeong Ha ◽  
Sejeong Kim ◽  
Heeyoung Lee ◽  
Soomin Lee ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Campylobacter Spp

Enteric virus presence in green vegetables and associated irrigation waters in a rural area from Argentina. A quantitative microbial risk assessment

LWT ◽  
2021 ◽  
Vol 144 ◽  
pp. 111201 ◽  
Author(s):  
Prez Verónica Emilse ◽  
Victoria Matías ◽  
Martínez Laura Cecilia ◽  
Giordano Miguel Oscar ◽  
Masachessi Gisela ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Rural Area ◽  
Enteric Virus ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Irrigation Waters
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