Article
Food Science & Technology
Annick D. van den Brand, Bas G. H. Bokkers, Jan Dirk te Biesebeek, Marcel J. B. Mengelers
Summary: Humans are regularly exposed to mycotoxins, and exposure to a combination of mycotoxins may lead to exacerbated adverse effects. Therefore, the assessment of combined risk from multiple mycotoxins is important. This study used different approaches to assess the risks associated with combined exposure to mycotoxins and evaluated the combined risk using toxicological reference values.
Article
Food Science & Technology
Julie Boberg, Lea Bredsdorff, Annette Petersen, Nathalie Lobl, Bodil Hamborg Jensen, Anne Marie Vinggaard, Elsa Nielsen
Summary: Researchers have developed fit-for-purpose criteria for grouping of chemicals and a web-based tool for mixture risk assessment, which includes hazard and exposure estimates for over 200 chemicals in foods and environment. The tool can be used to assess mixture risks and to identify main drivers of risk, emphasizing the importance of solid scientific insight for result interpretation.
FOOD AND CHEMICAL TOXICOLOGY
(2021)
Article
Engineering, Environmental
Matthew A. Etterson, Gerald T. Ankley
Summary: Despite decades of research, population models in chemical risk assessment have limited practical utility. A novel application of Endogenous Lifecycle Models (ELM) offers cost-effective benefits, capturing endogenous lifecycle processes and estimating chemical impacts on avian lifecycles. ELMs prioritize general understanding over precision, integrating naturally with adverse outcome pathway framework for midtier risk assessment.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Jongwoon Kim, Myungwon Seo, Jiwon Choi, Minju Na
Summary: The paradigm of chemical risk assessment is changing from substance-based to product/mixture-based and from animal testing to alternative testing. This study introduces the development and application of the Mixture Risk Assessment Toolbox, a web-based platform that supports mixture risk assessment through various prediction models and public databases. The toolbox provides assessors with new functionalities to easily assess and compare the toxicity of mixture products using different computational techniques and find strategic solutions to minimize mixture toxicity in product development.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Environmental
Annika Mangold-Doring, Chelsea Grimard, Derek Green, Stephanie Petersen, John W. Nichols, Natacha Hogan, Lynn Weber, Henner Hollert, Markus Hecker, Markus Brinkmann
Summary: Standardized laboratory tests with a limited number of model species play a crucial role in chemical risk assessments. A multispecies toxicokinetic model based on data from 69 freshwater fish species in Canada was developed to predict bioconcentration, showing promising results with some tendency of overestimating measured values. This bottom-up approach potentially provides more accurate predictions for chemical risk assessments.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Ryan M. Williams, Shi Chen, Rachel E. Langenbacher, Thomas V. Galassi, Jackson D. Harvey, Prakrit V. Jena, Januka Budhathoki-Uprety, Minkui Luo, Daniel A. Heller
Summary: Although nanotechnology is often utilized in the biomedical field, it can also aid in broad biological discoveries. There is currently opportunity for collaboration between chemical biologists and nanotechnologists, with nanotechnology expanding the utility of chemical tools and chemical biologists working with nanotechnologists to tackle challenging biological questions.
NATURE CHEMICAL BIOLOGY
(2021)
Article
Environmental Sciences
Liza-Marie Beckers, Rolf Altenburger, Werner Brack, Beate I. Escher, Jorg Hackermueller, Enken Hassold, Gianina Illing, Martin Krauss, Janet Krueger, Paul Michaelis, Andreas Schuettler, Sarah Stevens, Wibke Busch
Summary: Aquatic environments are polluted with a wide range of organic micropollutants, posing challenges for risk assessment due to the complexity and diversity of pollutant mixtures. This study suggests that investigating source-specific background pollution in aquatic environments could be a way to approach mixture risk assessment. By preparing a representative mixture of organic micropollutants and comparing it with predicted mixture effects, the study demonstrates that this approach can help identify substances that should be considered in future monitoring efforts and provide measures to estimate wastewater background concentrations and assess mixture risks. The study highlights data gaps that should be addressed for prioritization of effect testing, and offers the approach and mixture for further investigations by authorities and scientists.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Engineering, Environmental
Kan Shao, Chao Ji, Weihsueh Chiu
Summary: The study aims to support BMD estimation using informative prior with dichotomous data and provides a practical method for advanced Bayesian BMD modeling. The study found that using informative prior can significantly reduce uncertainty in BMD estimation.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Maria Morvillo, Jinwoo Im, Felipe P. J. de Barros
Summary: This study presents a computational toolbox called VisU-HydRA for statistically characterizing and visualizing metrics relevant to risk analysis in groundwater systems. The toolbox can compute the probability of contaminant concentrations exceeding a safe threshold, as well as quantify the uncertainty associated with aquifer resilience loss.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Food Science & Technology
T. Tralau, M. Oelgeschlager, J. Kugler, D. Bloch, A. Braeuning, T. Burgdorf, P. Marx-Stoelting, V Ritz, S. Schmeisser, A. Trubiroha, S. Zellmer, A. Luch, G. Schoenfelder, R. Solecki, A. Hensel
Summary: Current legislation mainly focuses on the toxicological evaluation of single substances, lacking measures for the regulation of chemical mixtures. Researchers propose a proactive approach using the exposome concept and large-scale hazard screens to identify chemicals in mixtures and predict potential health risks. They suggest generating co-exposure patterns for specific consumer groups to assess the risk of identified mixtures, especially those from food, medicine, and cleaning products.
Article
Forestry
Eric K. Zenner, Mahdi Teimouri
Summary: This study investigates the use of the EM algorithm for estimating parameters of mixture models in complex forest structures, showing that the EM algorithm can provide better fitting for complex forest structures, performing well for both grouped and ungrouped data.
Article
Biochemical Research Methods
Zachary R. McCaw, Hugues Aschard, Hanna Julienne
Summary: This study introduces a Gaussian mixture model for dealing with missing data and develops an R package for handling such data. The results indicate that this model is more effective in recovering true cluster assignments and provides accurate assessment of cluster assignment uncertainty.
BMC BIOINFORMATICS
(2022)
Article
Biochemical Research Methods
Lisa M. Lix, Olawale Ayilara
Summary: This article aims to review the characteristics and applications of latent variable mixture models (LVMMs) in patient-reported outcome (PRO) data, and provide a demonstration of their use. LVMMs can be used to identify homogeneous sub-groups within a study population based on observed patterns of responses in PRO data. The article focuses on mixture item response theory (IRT) models, which combine latent class analysis with the conventional IRT model. An illustrative example is presented using clinical registry data.
Article
Environmental Sciences
Nicolo Aurisano, Peter Fantke
Summary: To use data for various assessments, a method for data harmonization and selection is necessary. We developed a method for obtaining substance property values for different assessment frameworks. The method aligns and selects appropriate values to derive representative mean values.
Article
Public, Environmental & Occupational Health
W. Bil, E. Govarts, M. J. Zeilmaker, M. Woutersen, J. Bessems, Y. Ma, C. Thomsen, L. S. Haug, S. Lignell, I Gyllenhammar, L. Palkovicova Murinova, L. Fabelova, J. Snoj Tratnik, T. Kosjek, C. Gabriel, D. Sarigiannis, S. Pedraza-Diaz, M. Esteban-Lopez, A. Castano, L. Rambaud, M. Riou, C. Franken, A. Colles, N. Vogel, M. Kolossa-Gehring, T. Halldorsson, M. Uhl, G. Schoeters, T. Santonen, A. M. Vinggaard
Summary: Per- and polyfluoroalkyl substances (PFASs) are persistent, mobile, and bioaccumulative chemicals that pose a high risk to human health and the environment. A study conducted in Europe using harmonized human biomonitoring (HBM) data reveals that PFAS exposure may result in a significant health risk for a considerable number of individuals. Different hazard-based approaches were used in mixture risk assessments, with the Hazard Index (HI) approach showing the highest risk estimates. This study emphasizes the importance of HBM data in assessing the health risks of PFAS exposure.
INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
(2023)
