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Distribution, Elimination, and Toxicity of Silver Nanoparticles and Silver Ions in Rats after 28-Day Oral Exposure

ACS nano, 2012-08, Vol.6 (8), p.7427-7442

2012

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Presence of Nano-Sized Silica during In Vitro Digestion of Foods Containing Silica as a Food Additive

ACS nano, 2012-03, Vol.6 (3), p.2441-2451

2012

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Development and validation of single particle ICP-MS for sizing and quantitative determination of nano-silver in chicken meat

Analytical and bioanalytical chemistry, 2014-06, Vol.406 (16), p.3875-3885

2014

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Characterization of Translocation of Silver Nanoparticles and Effects on Whole-Genome Gene Expression Using an In Vitro Intestinal Epithelium Coculture Model

ACS nano, 2011-05, Vol.5 (5), p.4091-4103

2011

Volltextzugriff (PDF)

Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment

Nanotoxicology, 2017-02, Vol.11 (1), p.123-133

2017

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Sub-chronic toxicity study in rats orally exposed to nanostructured silica

Particle and fibre toxicology, 2014-02, Vol.11 (1), p.8-8

2014

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Applying federated learning to combat food fraud in food supply chains

NPJ science of food, 2023-09, Vol.7 (1), p.46-46, Article 46

2023

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A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks

Nanoscale research letters, 2016-12, Vol.11 (1), p.503-8, Article 503

2016

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Big data in food safety: An overview

Critical reviews in food science and nutrition, 2017-07, Vol.57 (11), p.2286-2295

2017

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Author Correction: Applying federated learning to combat food fraud in food supply chains

NPJ science of food, 2023-10, Vol.7 (1), p.57-57, Article 57

2023

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GMDD: a database of GMO detection methods

BMC bioinformatics, 2008-06, Vol.9 (1), p.260-260, Article 260

2008

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Different responses of Caco-2 and MCF-7 cells to silver nanoparticles are based on highly similar mechanisms of action

Nanotoxicology, 2016-12, Vol.10 (10), p.1431-1441

2016

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Exploring the development of a decision support system (DSS) to prioritize engineered nanoparticles for risk assessment

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2013-08, Vol.15 (8), p.1-13, Article 1839

2013

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Minimal analytical characterization of engineered nanomaterials needed for hazard assessment in biological matrices

Nanotoxicology, 2011-03, Vol.5 (1), p.1-11

2011

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Internet of Things in food safety: Literature review and a bibliometric analysis

Trends in food science & technology, 2019-12, Vol.94, p.54-64

2019

Volltextzugriff (PDF)

Multi-element analysis of single nanoparticles by ICP-MS using quadrupole and time-of-flight technologies

Journal of analytical atomic spectrometry, 2018, Vol.33 (5), p.835-845

2018

Volltextzugriff (PDF)

Bayesian Networks modeling of diarrhetic shellfish poisoning in Mytilus edulis harvested in Bantry Bay, Ireland

Harmful algae, 2022-02, Vol.112, p.102171-102171, Article 102171

2022

Volltextzugriff (PDF)

A holistic approach to food safety risks: Food fraud as an example

Food research international, 2016-11, Vol.89 (Pt 1), p.463-470

2016

Volltextzugriff (PDF)

Review of health safety aspects of nanotechnologies in food production

Regulatory toxicology and pharmacology, 2009-02, Vol.53 (1), p.52-62

2009

Volltextzugriff (PDF)

Digitalisation and Artificial Intelligence for sustainable food systems

Trends in food science & technology, 2022-02, Vol.120, p.344-348

2022

Volltextzugriff (PDF)

Expert-driven methodology to assess and predict the effects of drivers of change on vulnerabilities in a food supply chain: Aquaculture of Atlantic salmon in Norway as a showcase

Trends in food science & technology, 2020-09, Vol.103, p.49-56

2020

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Proactive systems for early warning of potential impacts of natural disasters on food safety: Climate-change-induced extreme events as case in point

Food control, 2013-12, Vol.34 (2), p.444-456

2013

Volltextzugriff (PDF)

Role of analytical testing for food fraud risk mitigation - A commentary on implementation of analytical fraud testing: Role of analytical testing for food fraud mitigation

Current research in food science, 2021-01, Vol.4, p.301-307

2021

Volltextzugriff (PDF)

Indicators of emerging hazards and risks to food safety

Food and chemical toxicology, 2009-05, Vol.47 (5), p.1022-1039

2009

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Distribution, Elimination, and Toxicity of Silver Nanoparticles and Silver Ions in Rats after 28-Day Oral Exposure

Presence of Nano-Sized Silica during In Vitro Digestion of Foods Containing Silica as a Food Additive

Development and validation of single particle ICP-MS for sizing and quantitative determination of nano-silver in chicken meat

Characterization of Translocation of Silver Nanoparticles and Effects on Whole-Genome Gene Expression Using an In Vitro Intestinal Epithelium Coculture Model

Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment

Sub-chronic toxicity study in rats orally exposed to nanostructured silica

Applying federated learning to combat food fraud in food supply chains

A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks

Big data in food safety: An overview

Author Correction: Applying federated learning to combat food fraud in food supply chains

GMDD: a database of GMO detection methods

Different responses of Caco-2 and MCF-7 cells to silver nanoparticles are based on highly similar mechanisms of action

Exploring the development of a decision support system (DSS) to prioritize engineered nanoparticles for risk assessment

Minimal analytical characterization of engineered nanomaterials needed for hazard assessment in biological matrices

Internet of Things in food safety: Literature review and a bibliometric analysis

Multi-element analysis of single nanoparticles by ICP-MS using quadrupole and time-of-flight technologies

Bayesian Networks modeling of diarrhetic shellfish poisoning in Mytilus edulis harvested in Bantry Bay, Ireland

A holistic approach to food safety risks: Food fraud as an example

Review of health safety aspects of nanotechnologies in food production

Digitalisation and Artificial Intelligence for sustainable food systems

Expert-driven methodology to assess and predict the effects of drivers of change on vulnerabilities in a food supply chain: Aquaculture of Atlantic salmon in Norway as a showcase

The Essential Elements of a Risk Governance Framework for Current and Future Nanotechnologies

Proactive systems for early warning of potential impacts of natural disasters on food safety: Climate-change-induced extreme events as case in point

Role of analytical testing for food fraud risk mitigation - A commentary on implementation of analytical fraud testing: Role of analytical testing for food fraud mitigation

Indicators of emerging hazards and risks to food safety

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