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Relevancy: 100%
Uniqueness theorems and analysis of classical density functional theory in nonequilibrium random geometries (Project)
Describing the time evolution of various types of classical models for colloidal fluids by methods of statistical mechanics has become an important research area in physics over the last decades. This requires appropriate theories which are predictive, accurate and also numerically realizable. A promising option is classical dynamical density functional theory (DDFT), which, however, faces the...
Funding period: 2024 - 2027
Relevancy: 100%
Plant-based milk alternatives: nutritional and health aspects in children (Project)
Cow's milk has been a staple food for humans for thousands of years. It plays an important role in current nutritional recommendations for children and adolescents. Recently, plant-based milk alternatives based on cereals, pulses or nuts have increasingly been marketed as substitutes for cow's milk. Also in children, cow's milk is increasingly being replaced by these so-called plant drinks. Data...
Funding period: 2023 - 2024
Relevancy: 100%
Loss of immuno-reactive O-antigen in Salmonella enterica (Project)
The differentiation of Salmonella isolates is classically based on the serotyping of the O-antigen and the H-antigens by means of slide agglutination using the White-Kauffmann-Le Minor scheme. The National Reference Laboratory for Salmonella receives about 3-5% of Salmonella annually that can not longer be typed due to the loss of O-antigen reactive units. However, whole-genome sequencing (WGS)...
Funding period: 2024 - 2026
Relevancy: 100%
Microbiome applications and technological hubs as solutions to minimize food loss and waste (Project)
The main objective of FOODGUARD is to develop and demonstrate co-created innovations and applicable sustainable solutions in food processing and packaging, based on microbiome (microbial networks and their interactions within the developed niche) in combination with advanced digital technologies to fight food loss/waste. FOODGUARD envisages the industrial application of certain microbiota and...
Funding period: 2024 - 2026
Relevancy: 100%
Quality-assured development of a human sample collection with accompanying biomarker analysis as part of the COPLANT (COhort on PLANT-based Diets) study (Project)
The overall aim of the project is to establish a cohort of approximately 6000 healthy individuals following different diets (vegan, vegetarian, pescetarian, mixed) and to obtain valuable data on the development of the general health status of the population. Clinical biomarkers will be measured mostly fully-automated according to high technological standards to show potential relations between...
Funding period: 2023 - 2026
Relevancy: 100%
Analyses and characterization of edible microbial biomass and proteins using different substrates (Project)
The objective of this study is to evaluate the significance and practicabillity of a future application of microbial proteins for human consumption. Therefore, various microorganisms and substrates (e. g. residual material) are investigated regarding their suitability to produce high amounts of biomass and protein with high nutritional quality. In addition to the nutritional facets,...
Funding period: 2023 - 2025
Relevancy: 100%
Method development for authenticity control of poultry meat of different geographic origins and husbandry systems using a combination of stable isotope ratio analysis (IRMS) and elemental analysis (ICP-MS) (Project)
To combat food fraud, an analytical method for authenticity control of poultry meat (chicken/turkey) from different geographical origins and husbandry systems is to be developed.
Funding period: 2023 - 2026
Relevancy: 100%
NAM projects in the areas of AOP development and transcriptomics for risk assessment - LOT 2 (Project)
The assessment of an increasing number of chemicals in a way that better protects human health, requires a paradigm shift in the safety assessment of chemicals. It should involve an interdisciplinary approach that integrates the different types of knowledge and data derived from human relevant NAMs in a mechanism-based framework (Beal et al., 2022; Krewski et al., 2020). A NAM-based...
Funding period: 2023 - 2027
Relevancy: 100%
Testing and assessment of approaches for automated spICP-MS evaluation methods using machine learning (Project)
This project aims to evaluate the applicability of Machine Learning (ML) approaches for a harmonised, automated data evaluation of single particle measurements using inductively-coupled plasma mass spectrometry (spICP-MS). Therefore, existing and specifically generated spICP-MS data sets will be employed by the Fraunhofer ITWM to test selected ML approaches (proof-of.concept). Their ability to...
Funding period: 2022 - 2023
Relevancy: 100%
The oxygen isotope signature of organic matter in plants and soil (Project)
currently unavailable
Funding period: 2024 - 2026
