What is it about?
The assessment of exposure to sweeteners in young UK patients over time using probabilistic modelling.
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Why is it important?
Predictive modelling of food additive exposures is an important tool which can be used to define appropriate future maximum permitted levels in legislation. This is especially important for healthcare nutrition where usage is often essential to ensure products are palatable and appealing to young patients for managing their conditions.
Perspectives
This work supported by Danone and enabled by the powerful software of Creme Global provides the offers insight into possible future exposures in patients consuming medical nutrition products.
Aaron O'Sullivan
University College Dublin
Read the Original
This page is a summary of: Predictive modelling of the exposure to steviol glycosides in Irish patients aged 1-3 years with phenylketonuria and cow’s milk protein allergy, Food Additives & Contaminants Part A, November 2017, Taylor & Francis,
DOI: 10.1080/19440049.2017.1401737.
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