
A WEB tool for the Food Enzyme Intake Model (FEIM) accessible by EFSA, industries, applicants and risk assessors. It allows users to run autonomously their exposure estimation to enzyme intake. This estimation is done combining data from the EFSA comprehensive food consumption database and an ad-hoc database containing for each relevant industrial food process, a list of relevant foods and factors (that needs to be multiplied to an inputted use level to get the right TOS to be used for each food). A description of this database is available at this page: https://efsa.onlinelibrary.wiley.com/doi/full/10.2903/j.efsa.2021.7010 Included in this DOI is the source code, written in R. It contains the calculations as well as the frontend UI implementation of the tool.
Software developed in R; EU; en; tar.gz; han.bossier@openanalytics.eu
food enzyme intake model, exposure, enzymes, R Shiny
food enzyme intake model, exposure, enzymes, R Shiny
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
