A5040761297- Pesticide Residue Analysis and Safety
- Agricultural safety and regulations
- Genetically Modified Organisms Research
- Effects and risks of endocrine disrupting chemicals
- Nutritional Studies and Diet
- Advanced Statistical Methods and Models
- Spectroscopy and Chemometric Analyses
- Pesticide Exposure and Toxicity
- Insect Resistance and Genetics
- Toxic Organic Pollutants Impact
- Consumer Attitudes and Food Labeling
- Carcinogens and Genotoxicity Assessment
- Identification and Quantification in Food
- Advanced Chemical Sensor Technologies
- Animal Genetics and Reproduction
- Statistical Methods and Bayesian Inference
- Health, Environment, Cognitive Aging
- Obesity, Physical Activity, Diet
- Risk and Safety Analysis
- Potato Plant Research
- Statistical Methods in Clinical Trials
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Statistical Process Monitoring
- Pesticide and Herbicide Environmental Studies
- Optimal Experimental Design Methods
Wageningen University & Research
2014-2023
James Cook University Hospital
2018-2023
University of Padua
2021
Zimmer Biomet (United States)
2021
National Institute for Public Health and the Environment
2015
University of Milan
2015
Ghent University
2015
Fera Science (United Kingdom)
2015
Luigi Sacco Hospital
2015
Research International (United States)
2008
Fruit flavor is a result of complex mixture numerous compounds. The formation these compounds closely correlated with the metabolic changes occurring during fruit maturation. Here, we describe use DNA microarrays and appropriate statistical analyses to dissect developmental process. In doing so, have identified novel strawberry alcohol acyltransferase (SAAT) gene that plays crucial role in biogenesis ripening fruit. Volatile esters are quantitatively qualitatively most important providing...
A method is proposed for integrated probabilistic risk assessment where exposure and hazard characterization are both included in a way. The aim to specify the probability that random individual from defined (sub)population will have an high enough cause particular health effect of predefined magnitude, critical size ( CES ). level results exactly person person's dose ICED Individuals population typically show variation, their IEXP ) . Both variation quantified form distributions. Assuming...
Abstract Objective Reduction in the current high levels of meat and dairy consumption may contribute to environmental as well human health. Since is a major source Fe, effects on Fe intake need be evaluated, especially groups vulnerable negative status. In present study we evaluated replacing foods with plant-based products sustainability (land requirement) health (SFA intakes) women. Design Data land requirements were derived from existing calculation methods. Food composition data Dutch...
Focus on risks to human health and the environment from combined exposure multiple chemicals ("mixture risk assessment") has increased in last couple of decades. There been a rise awareness concern community, especially concerning unintentional environmental unknown chemical mixtures. The Horizon 2020 project EuroMix developed methodologies tools for mixture assessment with focus component-based approach where substances are grouped based toxicological considerations. Dose addition is used...
Multivariate classification methods based on analytical fingerprints have found many applications in the food and feed area, but practical are still scarce due to a lack of generally accepted validation procedure. This paper proposes new approach for this type methods. A part procedure requires description qualitative aspects: method’s goal purpose adequateness sample sets used. The required quantitative performance is assessed from probabilistic data. Probability distributions generalized...
In 2012, a controversial study on the long-term toxicity of Roundup herbicide and glyphosate-tolerant genetically modified (GM) maize NK603 was published. The EC-funded G-TwYST research consortium tested potential subchronic chronic as well carcinogenicity glyphosate-resistant by performing two 90-day feeding trials, one with GM inclusion rates 11 33% up to 50%, 2-year trial in male female Wistar Han RCC rats taking into account OECD Guidelines for testing chemicals EFSA recommendations...
Various models exist for estimating the usual intake distribution from dietary data. In this paper, we compare two of these models, Iowa State University Foods (ISUF) model and betabinomial-normal (BBN) apply them to three different datasets. Intake data are obtained by aggregating over multiple food products often non-normal. The ISUF BBN both address non-normality. While have similar structures, they show some differences. includes an additional spline transformation improving normality...
Previous European guidance for environmental risk assessment of genetically modified plants emphasized the concepts statistical power but provided no explicit requirements provision analyses. Similarly, whilst need good experimental designs was stressed, minimum guidelines were set replication or sample sizes. Furthermore, although substantial equivalence stressed as central to assessment, means quantification this concept given. This paper suggests several ways in which existing might be...
A model and data toolbox is presented to assess risks from combined exposure multiple chemicals using probabilistic methods. The Monte Carlo Risk Assessment (MCRA) toolbox, also known as the EuroMix has more than 40 modules addressing all areas of risk assessment, includes a repository with collected in project. This paper gives an introduction illustrates its use examples can be used for hazard identification, characterisation, assessment characterisation. Examples identification are...
This paper considers models that are relatively complex considering the extent of calibration data. Such data frequently arise in chemometric applications, near-infrared spectroscopy (NIRS) being a well-known example. Commonly used multiple linear regression (MLR) with variable selection or partial least squares (PLS) regression. The concept degrees freedom is undefined for such models; this proposes definition pseudo-degrees (PDF) based on predictive performance and an analogy standard...