Feed to fork risk assessment of mycotoxins under climate change influences – recent developments

This review undertakes a systematic approach to identify scientific studies that assess mycotoxin production in feed and cereals which may be influenced by weather variables or climate change scenarios. It also looks at human health risk assessments carried out in the past 20 years related to mycotoxins detected in…

Authors: Rhea SanjivChhay, JohnO’Brien, EndaCummins

Publication date: 05/08/2021

All Publications, Food Safety, Microbiology

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

Background: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized…

Authors: Forster H, Walsh MC, O’Donovan CB, Woolhead C, McGirr C, Daly E, O’Riordan R, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou CP, Godlewska M, Surwiłło A, Gjelstad IMF, Drevon CA, Manios Y, Traczyk I, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, Brennan L

Publication date: 30/06/2016

All Publications, Nutrition, Personalised Nutrition, Publications Featured Post

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

All Publications, Chemicals, Exposure, Food Safety, Technology

State of the art review of Big Data and web-based Decision Support Systems (DSS) for food safety risk assessment with respect to climate change

Technology is being developed to handle vast amounts of complex data from diverse sources. The terms “Big Data” and “Decision Support Systems” (DSS) refer to computerised multidimensional data management systems that support stakeholders in making use of modern data-driven approaches to identify and solve problems and to enable enhanced…

Authors: Gopaiah Talari, EndaCummins, CronanMcNamara, JohnO’Brien

Publication date: 05/08/2021

All Publications, Food Safety, Technology

Pulse Intake Improves Nutrient Density among US Adult Consumers

The objective was to examine trends in pulse (dry beans, dry peas, chickpeas and lentils) intake over a 10-year period and to compare nutrient intakes of pulse consumers and non-consumers to better understand the impact of pulse consumption on diet quality in the US population. NHANES 2003–2014 data for…

Authors: Diane C. Mitchell, Christopher P. F. Marinangeli, Sandrine Pigat, Foteini Bompola, Jessie Campbell, Yang Pan, Julianne M. Curran, David J. Cai, Susan Y. Jaconis, Jeff Rumney

Publication date: 31/07/2021

All Publications, Nutrition, Personalised Nutrition

The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial

Background: The apolipoprotein E (APOE) risk allele (ɛ4) is associated with higher total cholesterol (TC), amplified response to saturated fatty acid (SFA) reduction, and increased cardiovascular disease. Although knowledge of gene risk may enhance dietary change, it is unclear whether ɛ4 carriers would benefit from gene-based personalized nutrition (PN)….

Authors: Food4Me Study – On behalf of

Publication date: 01/09/2016

All Publications, Nutrition, Personalised Nutrition

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

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

Flow Cytometric and 16S Sequencing Methodologies for Monitoring the Physiological Status of the Microbiome in Powdered Infant Formula Production

The aim of this study was to develop appropriate protocols for flow cytometric (FCM) and 16S rDNA sequencing investigation of the microbiome in a powdered infant formula (PIF) production facility. Twenty swabs were collected from each of the three care zones of a PIF production facility and used for…

Authors: Anvarian Amir H. P., Yu Cao, Shabarinath Srikumar, Séamus Fanning and Kieran Jordan

Publication date: 22/06/2016

All Publications, Food Safety, Microbiology, Next Generation Sequencing

Paving the way to better population health through personalised nutrition

As each individual person differs from the next in multiple ways, it is a beguiling idea that our individual nutritional needs also differ. In support of this idea, findings from nutritional intervention studies provide ample evidence of considerable interindividual variation in response to the same dietary exposure. We have…

Authors: Mathers John C – Acknowledging the Food4Me Study

Publication date: 08/07/2019

All Publications, Nutrition, Personalised Nutrition

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