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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

Relevancy: 100%

The oxygen isotope signature of organic matter in plants and soil (Project)

currently unavailable


Funding period: 2024 - 2026

Relevancy: 100%

The oxygen isotope signature of organic matter in plants and soil (Project)

currently unavailable


Funding period: 2024 - 2026

Relevancy: 100%

Critical appraisal tool (CAT) for the evaluation of evidence from animal observational epidemiological studies and Test of a risk modelling tool (Rrisk) in the context of EFSA (Project)

EFSA (European Food Safety Authority) performs systematic evidence appraisals using Critical Appraisal Tools (CATs) to assess and integrate evidence. EFSA collaborates with BfR to develop risk of bias tools for observational study designs and animal populations. A template for a rapid risk of bias (raRoB) assessment tool for individual observational epidemiological studies in the context of risk...


Funding period: 2022 - 2024

Relevancy: 100%

Making FCL Software fit for purpose (Project)

In times of complex globalised food and feed supply chains there is a strong need for efficient tracing strategies including data collection and data exchange approaches as well as powerful interoperable tracing software tools. In general, harmonised data structures, accurate and detailed datasets, digitalised data collection tools including data validation as well as interfaces to data systems...


Funding period: 2022 - 2024