Publications

Browse our publications

Probabilistic modelling of European consumer exposure to cosmetic products.

In this study, we describe the statistical analysis of the usage profile of the European population to seven cosmetic products. The aim of the study was to construct a reliable model of exposure of the European population from use of the selected products: body lotion, shampoo, deodorant spray, deodorant…
Read paper
Authors: McNamara C, Rohan D, Golden D, Gibney M, Hall B, Tozer S, Safford B, Coroama M, Leneveu-Duchemin MC, Steiling W.
Publication date: 07/07/2007

European consumer exposure to cosmetic products, a framework for conducting population exposure assessments.

Access to reliable exposure data is essential to evaluate the toxicological safety of ingredients in cosmetic products. This study was carried out by European cosmetic manufacturers acting within the trade association Colipa, with the aim to construct a probabilistic European population model of exposure. The study updates, in distribution…
Read paper
Authors: Hall B, Tozer S, Safford B, Coroama M, Steiling W, Leneveu-Duchemin MC, McNamara C, Gibney M.
Publication date: 16/06/2007

Aggregate exposure modelling of zinc pyrithione in rinse-off personal cleansing products using a person-orientated approach with market share refinement.

Realistic estimates of chemical aggregate exposure are needed to ensure consumer safety. As exposure estimates are a critical part of the equation used to calculate acceptable “safe levels” and conduct quantitative risk assessments, methods are needed to produce realistic exposure estimations. To this end, a probabilistic aggregate exposure model…
Read paper
Authors: Tozer S, Kelly S, O’Mahony C, Daly EJ, Nash JF.
Publication date: 16/06/2015

Models for estimating human exposure to pesticides, Outlooks on Pest Management

Any quantitative understanding of human risk from exposure to pesticides requires knowledge of both hazard (the intrinsic ability of a pesticide to cause harm) and exposure (absorbed dose), i.e., risk is directly proportional to the product of hazard and exposure. Thus, regardless of potential high hazard, risk may be…
Read paper
Authors: Ross John; Driver, Jeffrey; Lunchick, Curt; O’Mahony, Cian
Publication date: 01/02/2015

Longitudinal modelling of the exposure of young UK patients with PKU to acesulfame K and sucralose

Artificial sweeteners are used in protein substitutes intended for the dietary management of inborn errors of metabolism (phenylketonuria, PKU) to improve the variety of medical foods available to patients and ensure dietary adherence to the prescribed course of dietary management. These patients can be exposed to artificial sweeteners from…
Read paper
Authors: O’Sullivan AJ, S Pigat, C O’Mahony, MJ Gibney, AI McKevitt
Publication date: 23/08/2017

Probabilistic Bioactive Food Compound Intakes in the European BACCHUS Project

The EU funded BACCHUS project aims to develop tools and resources to study relationships between bioactive food compound intakes and cardiovascular health in humans. To handle variation and uncertainty of bioactive levels in foods a probabilistic model of bioactive intakes was used to estimate distributions of population intakes….
Read paper
Authors: Pigat Sandrine, Rosalyn O’Connor
Publication date: 01/04/2015

A Framework for the Predictive Modelling of Public Health Nutrition Strategies

Within public health nutrition, it is of crucial importance to monitor adequate as well as safe nutritional intakes within a population. Food policy initiatives around dietary intakes include voluntary industry reformulation, portion size reductions, food fortification and consumer behavioral changes. Predictive intake models can be used to assess the…
Read paper
Authors: Pigat, S., O’Mahony, C.
Publication date: 18/01/2019
Linkedin Twitter Youtube

Industries

Products

Services

About

© Creme Global 2024
Company Registration Number: 400692
VAT Number: IE 6420692E
Download The Overview Now

Data Sharing on Creme Global Platform

Gain critical business intelligence
from shared, anonymized data.