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Sandrine Pigat

Observed names: Pigat, Sandrine, S. Pigat
ORCID: 0000-0001-9523-4771
Observed ORCID: 0000-0001-9523-4771
OpenAlex ID: A5074776540
Healthy ageing: the natural consequences of good nutrition—a conference report
2018 · D. Marsman, D. W. Belsky, et al. · European Journal of Nutrition · 87
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Pulse Intake Improves Nutrient Density among US Adult Consumers
2021 · Diane C. Mitchell, Christopher P. F. Marinangeli, et al. · Nutrients · 56
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eBASIS (Bioactive Substances in Food Information Systems) and Bioactive Intakes: Major Updates of the Bioactive Compound Composition and Beneficial Bioeffects Database and the Development of a Probabilistic Model to Assess Intakes in Europe
2017 · Jenny Plumb, Sandrine Pigat, et al. · Nutrients · 52
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Contribution of base diet, voluntary fortified foods and supplements to micronutrient intakes in the UK
2022 · Julia K. Bird, Rebecca Barron, et al. · Journal of Nutritional Science · 25
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Nutrient intakes and iron and vitamin D status differ depending on main milk consumed by UK children aged 12–18 months – secondary analysis from the Diet and Nutrition Survey of Infants and Young Children
2016 · Anne Sidnell, Sandrine Pigat, et al. · Journal of Nutritional Science · 16
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Estimating the potential public health impact of fibre enrichment: a UK modelling study
2022 · Kirstie Canene-Adams, Ieva Laurie, et al. · British Journal Of Nutrition · 14
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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
2016 · Aaron J. O’Sullivan, Sandrine Pigat, et al. · Food Additives & Contaminants Part A · 13
Longitudinal modelling of the exposure of young UK patients with PKU to acesulfame K and sucralose
2017 · Aaron J. O’Sullivan, Sandrine Pigat, et al. · Food Additives & Contaminants Part A · 12
Impact of sociodemographic factors on the consumption of tubers in Brazil
2021 · Justyna Horodyska, Sandrine Pigat, et al. · Nutrition Journal · 8
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Exposure assessment: real-world examples of exposure models in action from simple deterministic to probabilistic aggregate and cumulative models
2022 · Cronan McNamara, Sandrine Pigat · Elsevier eBooks · 5
A probabilistic intake model to estimate the impact of reformulation by the food industry among Irish consumers
2018 · S. Pigat, A. Connolly, et al. · International Journal of Food Sciences and Nutrition · 5
Fibre and micronutrient intakes among fruit juice consumers and non‐consumers in the UK and France: Modelling the effects of consumption of an orange pomace juice product
2022 · Mary R. Dicklin, Rebecca Barron, et al. · Journal of Human Nutrition and Dietetics · 4
Predictive modelling of the exposure to steviol glycosides in Irish patients aged 1-3 years with phenylketonuria and cow’s milk protein allergy
2017 · Aaron J. O’Sullivan, Sandrine Pigat, et al. · Food Additives & Contaminants Part A · 2
Combining National Food Consumption Survey Data with a Bioactive Database in a Probabilistic Intake Model to Assess Bioactive Intakes in Europe ‐ a Tool Resulting from the European BACCHUS Project
2017 · Sandrine Pigat, Foteini Bompola, et al. · The FASEB Journal · 2
Micronutrient exposure modelling: To build a refined safety assessment for micronutrients
2014 · Lara O’Keeffe, Sandrine Pigat · Toxicology Letters · 2
Modelling the public health benefits of fibre fortification in the Chinese population through food reformulation
2024 · Thomas Teh, Yang Ying, et al. · BMJ Open · 1
Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study
2023 · Sandrine Pigat, Mariya Soshina, et al. · JMIR Formative Research · 1
The impact of food industry reformulation, innovation and consumer preference on dietary intakes in Ireland: a probabilistic intake model
2020 · Maeve Cushen, Noel Rogers, et al. · Proceedings of The Nutrition Society · 1
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Assessing vitamin D safety following fortification and supplementation intake scenarios using the EFSA Comprehensive Database: the ODIN approach
2017 · S. Pigat, M. Kiely · Proceedings of The Nutrition Society · 1
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List of contributors
2022 · Amie Adkin, Timothy E.H. Allen, et al. · Elsevier eBooks
Impact of Sociodemographic Factors on The Consumption of Tubers in Brazil
2021 · Justyna Horodyska, Sandrine Pigat, et al. · Research Square
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Additional file 1 of Impact of sociodemographic factors on the consumption of tubers in Brazil
2021 · Horodyska, Justyna, Pigat, Sandrine, et al. · Figshare
Probabilistic Model to Assess the Impact of Sugar Taxation on Low/No-Calorie Sweeteners Displacing Added Sugar Intakes (P13-029-19)
2019 · Sandrine Pigat · Current Developments in Nutrition
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A Probabilistic Intake Model to Estimate the Impact of Reformulation by the Food Industry in Irish Consumers
2016 · Sandrine Pigat, Maeve Cushen, et al. · The FASEB Journal
Probabilistic Bioactive Food Compound Intakes in the European BACCHUS Project
2015 · Sandrine Pigat, Rosalyn O'Connor · The FASEB Journal
Works count: 27
Citation count: 307
H-index: 8
I10-index: 8
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