Predictive modelling of the exposure to Steviol Glycosides in Irish patients aged 1-3 years with Phenylketonuria and Cow’s milk protein allergy

Children with Phenylketonuria (PKU) and severe cow’s milk protein allergy (CMPA) consume prescribed, specially formulated, foods for special medical purposes (FSMPs) as well as restricted amounts of normal foods. These patients are exposed to artificial sweeteners from the consumption of a combination of free and prescribed foods. Young patients…

Authors: O’Sullivan Aaron J., Sandrine Pigat, Cian O’Mahony, Michael J. Gibney & Aideen I. McKevitt

Publication date: 17/11/2017

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Probabilistic modelling to assess exposure to three artificial sweeteners of young Irish patients aged 1–3 years with PKU and CMPA

The choice of suitable normal foods is limited for individuals with particular medical conditions, e.g., inborn errors of metabolism (phenylketonuria – PKU) or severe cow’s milk protein allergy (CMPA). Patients may have dietary restrictions and exclusive or partial replacement of specific food groups with specially formulated products to meet…

Authors: O’Sullivan Aaron J., Sandrine Pigat, Cian O’Mahony, Michael J. Gibney & Aideen I. McKevitt

Publication date: 09/09/2016

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Design, development and validation of software for modelling dietary exposure to food chemicals and nutrients.

The Monte Carlo computational system for stochastic modelling of dietary exposure to food chemicals and nutrients is presented. This system was developed through a European Commission-funded research project. It is accessible as a Web-based application service. The system allows and supports very significant complexity in the data sets used…

Authors: McNamara C, Naddy B, Rohan D, Sexton J.

Publication date: 20/10/2003

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Uncertainty analysis of the use of a retailer fidelity card scheme in the assessment of food additive intake.

Background: The feasibility of using a retailer fidelity card scheme to estimate food additive intake was investigated in an earlier study. Fidelity card survey information was combined with information provided by the retailer on levels of the food colour Sunset Yellow (E110) in the foods to estimate a daily…

Authors: McNamara C, Mehegan J, O’Mahony C, Safford B, Smith B, Tennant D, Buck N, Ehrlich V, Sardi M, Haldemann Y, Nordmann H, Jasti PR.

Publication date: 04/10/2013

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ExpoQual: Evaluating Measured and Modeled Human Exposure Data

Recent rapid technological advances are producing exposure data sets for which there are no available data quality assessment tools. At the same time, regulatory agencies are moving in the direction of data quality assessment for environmental risk assessment and decision-making. A transparent and systematic approach to evaluating exposure data will aid…

Authors: LaKind Judy S., Cian O’Mahony, Thomas Armstrong, Rosalie Tibaldid, Benjamin C. Blounte, Daniel Q. Naiman

Publication date: 25/01/2019

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Investigation of the potential for a simplified exposure tool in medical nutrition (SETIM) to minimise exposures to sweeteners in young patients aged 1-3 years with PKU and CMPA

Children with phenylketonuria (PKU) and severe cow’s milk protein allergy (CMPA) consume prescribed, specially formulated, foods for special medical purposes (FSMPs) in addition to having restricted intake of normal foods. These vulnerable patients are exposed to artificial sweeteners from the consumption of a combination of both free and prescribed…

Authors: O’Sullivan Aaron J., Cian O’Mahony, Leo Meunier, Nik Loveridge & Aideen I. McKevitt

Publication date: 11/07/2018

All Publications, Chemicals, Exposure, Food Safety, Nutrition, Technology

Exposure assessment: real-world examples of exposure models in action from simple deterministic to probabilistic aggregate and cumulative models

This chapter outlines probabilistic methods for assessing population dietary exposure. It discusses and makes recommendations on how to move from deterministic screening-type calculations to higher-tier, more refined calculations using probabilistic methods. The question of how to deal with variability and uncertainty in the exposure scenario input variables is covered….

Authors: Cronan McNamara, Sandrine Pigat

Publication date: 13/10/2022

All Publications, Chemicals, Exposure, Food Safety, Fragrances, Personal Care

Consumer habits and practices for cosmetics and personal care products in Singapore: An online survey

In this publication, we demonstrate the feasibility of employing a rapid and cost-effective online survey approach to gather habits and practices for Southeast Asia, specifically Singapore. We describe the methodology and display the type of habits and practices data that can be gathered through this approach. Although certain limitations…

Authors: Siti Amelia Juraimi, John O’Brien, John Hirsh, Adam Tan, Joshua Teo, Alain Khaiat, Kim Long Yeo, Benjamin P.C. Smith

Publication date: 01/04/2023

All Publications, Chemicals, Exposure, Personal Care, Technology

From worst-case to reality – Case studies illustrating tiered refinement of consumer exposure to cosmetic ingredients

Consumer exposure to cosmetic ingredients is estimated in a tiered manner. Simple Tier1 deterministic aggregate exposure modelling generates a worst case estimate of exposure. Tier1 assumes that a consumer uses all cosmetic products concomitantly daily, at maximum frequency, and products always contain the ingredient at the maximum allowed %…

Authors: Sarah Tozer, Camilla Alexander-White, Ripal Amin, Françoise Audebert, Catherine Barratt, John O’Brien, Tim Burke, Dagmar Bury, Hermine Dika Nguea, Myrto Dimopoulou, Sarah Farahmand, Sabrina Fritz, Elisabeth Gerber, Arianna Giusti, William Goodwin, Taryn Kirsch, Victor Oreffo, Cronan McNamara

Publication date: 01/09/2023

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