scholarly journals BIKE: Dietary Exposure Model for Foodborne Microbiological and Chemical Hazards

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2520
Author(s):  
Jukka Ranta ◽  
Antti Mikkelä ◽  
Johanna Suomi ◽  
Pirkko Tuominen
Keyword(s):  
User Interface ◽  
Synthetic Data ◽  
Dietary Exposure ◽  
Assessment Model ◽  
Exposure Model ◽  
Bayesian Hierarchical ◽  
Chemical Hazards ◽  
Consumption Data ◽  
Shiny App ◽  
Model Structures

BIKE is a Bayesian dietary exposure assessment model for microbiological and chemical hazards. A graphical user interface was developed for running the model and inspecting the results. It is based on connected Bayesian hierarchical models, utilizing OpenBUGS and R in tandem. According to occurrence and consumption data given as inputs, a specific BUGS code is automatically written for running the Bayesian model in the background. The user interface is based on shiny app. Chronic and acute exposures are estimated for chemical and microbiological hazards, respectively. Uncertainty and variability in exposures are visualized, and a few optional model structures can be used. Simulated synthetic data are provided with BIKE for an example, resembling real occurrence and consumption data. BIKE is open source and available from github.

FAO/WHO GIFT: increasing the availability, harmonization and use of individual quantitative food consumption data worldwide

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Ferreira de Sousa ◽  
A Balcerzak ◽  
T Bevere ◽  
V Padula de Quadros
Keyword(s):  
Food Safety ◽  
Food Consumption ◽  
Eating Habits ◽  
Geographical Area ◽  
Dietary Exposure ◽  
Evidence Based ◽  
Food Groups ◽  
Middle Income ◽  
Consumption Data ◽  
Food Consumption Data

Abstract Introduction Understanding the various eating habits of different population groups, according to the geographical area, is critical to develop evidence-based policies for nutrition and food safety. The FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) is a novel open-access online platform, hosted by FAO and supported by WHO, providing access to harmonized individual quantitative food consumption (IQFC) data, especially in low- and middle-income countries (LMICs). Methods FAO/WHO GIFT disseminates IQFC data as ready-to-use food-based indicators in the form of infographics, and as microdata. The infographics intend to facilitate the use of these data by policy makers, providing an overview of key data according to population segments and food groups. The microdata is publicly available for download, and is intended for users that would like to do further analysis of the data. Results FAO/WHO GIFT is a growing repository. By June 2020, 14 datasets were available for dissemination and download, and an additional 44 datasets will be made available by 2022. FAO/WHO GIFT also provides an inventory of existing IQFC data worldwide, which currently contains detailed information on 268 surveys conducted in 105 countries. Conclusions FAO/WHO GIFT collates, harmonizes and disseminates IQFC data collected in different countries. This harmonization is aimed at enhancing the consistency and reliability of nutrient intake and dietary exposure assessments globally. FAO/WHO GIFT is developed in synergy with other global initiatives aimed at increasing the quality, availability and use of IQFC data in LMICs to enable evidence-based policy-making for better nutrition and food safety.

scholarly journals Characterization and Lifetime Dietary Risk Assessment of Eighteen Pyrrolizidine Alkaloids and Pyrrolizidine Alkaloid N-Oxides in New Zealand Honey

Toxins ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 843
Author(s):  
Andrew J. Pearson ◽  
Jeane E. F. Nicolas ◽  
Jane E. Lancaster ◽  
C. Wymond Symes
Keyword(s):  
New Zealand ◽  
Pyrrolizidine Alkaloids ◽  
Pyrrolizidine Alkaloid ◽  
Food Additives ◽  
Dietary Exposure ◽  
World Health ◽  
Exposure Model ◽  
Average Lifetime ◽  
Expert Committee ◽  
Dietary Risk

Pyrrolizidine alkaloids (PAs) are a large group of botanical toxins of concern, as they are considered genotoxic carcinogens, with long-term dietary exposure presenting an elevated risk of liver cancer. PAs can contaminate honey through honeybees visiting the flowers of PA-containing plant species. A program of monitoring New Zealand honey has been undertaken over several years to build a comprehensive dataset on the concentration, regional and seasonal distribution, and botanical origin of 18 PAs and PA N-oxides. A bespoke probabilistic exposure model has then been used to assess the averaged lifetime dietary risk to honey consumers, with exposures at each percentile of the model characterized for risk using a margin of exposure from the Joint World Health Organization and United Nations Food and Agriculture Organization Expert Committee on Food Additives (JECFA) Benchmark Dose. Survey findings identify the typical PA types for New Zealand honey as lycopsamine, echimidine, retrorsine and senecionine. Regional and seasonal variation is evident in the types and levels of total PAs, linked to the ranges and flowering times of certain plants. Over a lifetime basis, the average exposure an individual will receive through honey consumption is considered within tolerable levels, although there are uncertainties over high and brand-loyal consumers, and other dietary contributors. An average lifetime risk to the general population from PAs in honey is not expected. However, given the uncertainties in the assessment, risk management approaches to limit or reduce exposures through honey are still of value.

Relevant shellfish consumption data for dietary exposure assessment among high shellfish consumers, Western Brittany, France

2011 ◽  
Vol 21 (2) ◽  
pp. 86-105 ◽  
Author(s):  
Cyndie Picot ◽  
Thuan Anh Nguyen ◽  
François-Gilles Carpentier ◽  
Alain-Claude Roudot ◽  
Dominique Parent-Massin
Keyword(s):  
Exposure Assessment ◽  
Dietary Exposure ◽  
Consumption Data

scholarly journals Highly Automated Dipole EStimation (HADES)

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
C. Campi ◽  
A. Pascarella ◽  
A. Sorrentino ◽  
M. Piana
Keyword(s):  
Inverse Problem ◽  
User Interface ◽  
Graphical User Interface ◽  
Particle Filtering ◽  
Synthetic Data ◽  
Nonlinear Relationship ◽  
Data Set ◽  
Automatic Estimation ◽  
Dipole Estimation ◽  
Dipolar Model

Automatic estimation of current dipoles from biomagnetic data is still a problematic task. This is due not only to the ill-posedness of the inverse problem but also to two intrinsic difficulties introduced by the dipolar model: the unknown number of sources and the nonlinear relationship between the source locations and the data. Recently, we have developed a new Bayesian approach, particle filtering, based on dynamical tracking of the dipole constellation. Contrary to many dipole-based methods, particle filtering does not assume stationarity of the source configuration: the number of dipoles and their positions are estimated and updated dynamically during the course of the MEG sequence. We have now developed a Matlab-based graphical user interface, which allows nonexpert users to do automatic dipole estimation from MEG data with particle filtering. In the present paper, we describe the main features of the software and show the analysis of both a synthetic data set and an experimental dataset.

scholarly journals Dietary Exposure Assessment of Paralytic Shellfish Toxins through Shellfish Consumption in Shenzhen Population, China

2021 ◽  
Author(s):  
Yan Zhou ◽  
Shenpan Li ◽  
Jianying Zhang ◽  
Jinzhou Zhang ◽  
Zhou Wang ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Dietary Exposure ◽  
Wholesale Market ◽  
Chlamys Nobilis ◽  
Shellfish Toxins ◽  
Paralytic Shellfish Toxins ◽  
Paralytic Shellfish ◽  
Consumption Data ◽  
Marine Bivalves ◽  
Marine Dinoflagellates

Abstract Paralytic shellfish toxins (PSTs) produced by certain marine dinoflagellates accumulate in filter-feeding marine bivalves. We used LC-MS/MS to detect and quantify 13 PSTs in 188 shellfish samples of 14 species collected from Shenzhen city’s Buji seafood wholesale market from March 2019 to February 2020. Twenty-six of 188 shellfish samples (13.8%) were PST- positive, with highest values in samples of the Noble clam Chlamys nobilis (10/34, 29.4%). Samples originating from Nan’ao island among 11 source sites in China recorded the highest detected rate (7/17, 41.2%). Samples containing PSTs were concentrated in Spring and Winter, with the highest levels in March > December > January. Among PSTs detected, C1 was dominant. Acute dietary exposure assessments for Shenzhen residents were based on P99 consumption data (139.2g/day) and maximum PST concentration for each shellfish species. The outcome for Chlamys nobilis was 2.4 ~ 3.7-fold higher than recommended ARfDs (0.5 ~ 0.7 µg STX eq./kg bw/day). Mean PST concentration (10.9 ~ 134.1 µg STX Eq. /kg), mean shellfish consumption (4.8 g/day) and P99 consumption data were used to assess chronic dietary exposure. The results were lower than the recommended ARfDs. In conclusion, residents in Shenzhen are at risk for acute PST poisoning, while relatively safe from chronic PST exposure.

Agent-Based Simulation of Electric Energy Consumers

2014 ◽  
pp. 239-253 ◽  
Author(s):  
Fernanda Mota ◽  
Iverton Santos ◽  
Graçaliz Dimuro ◽  
Vagner Rosa ◽  
Silvia Botelho
Keyword(s):  
Energy Consumption ◽  
Multiagent Systems ◽  
Winter Season ◽  
Electric Energy ◽  
Synthetic Data ◽  
Agent Based ◽  
Electric Energy Consumption ◽  
Consumption Data ◽  
The Individual ◽  
Residential Consumption

The electric energy consumption is one of the main indicators of both the economic development and the quality of life of a society. However, the electric energy consumption data of individual home use is hard to obtain due to several reasons, such as privacy issues. In this sense, the social simulation based on multiagent systems comes as a promising option to deal with this difficulty through the production of synthetic electric energy consumption data. In a multiagent system the intelligent global behavior can be achieved from the behavior of the individual agents and their interactions. This chapter proposes a tool for simulation of electric energy consumers, based on multiagent systems concepts using the NetLogo tool. The tool simulates the residential consumption during working days and presented as a result the synthetic data average monthly consumption of residences, which varies according to income. So, the analysis of the produced simulation results show that economic consumers of the income 1 in the summer season had the lowest consumption among all other consumers and consumers noneconomic income 6 in the winter season had the highest.

scholarly journals Consumption Data for the Main Cheeses (Mexican-Style Fresh and Oaxaca) for Dietary Exposure Assessment among the Population of Veracruz City, Mexico

2016 ◽  
Vol 04 (04) ◽  
Author(s):  
Estela HC ◽  
Alejandra RM ◽  
Manuel VO ◽  
Wesolek N ◽  
Guadalupe del CRJ ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Dietary Exposure ◽  
Consumption Data
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