Bibliographic Details
| Title: |
Assessment of the feed additive consisting of Pediococcus pentosaceus DSM 12834 for all animal species for the renewal of its authorisation (Lactosan GmbH & Co KG). |
| Authors: |
Bampidis, Vasileios1, Azimonti, Giovanna1, de Lourdes Bastos, Maria1, Christensen, Henrik1, Dusemund, Birgit1, Durjava, Mojca Fašmon1, Kouba, Maryline1, López-Alonso, Marta1, Puente, Secundino López1, Marcon, Francesca1, Mayo, Baltasar1, Pechová, Alena1, Petkova, Mariana1, Ramos, Fernando1, Sanz, Yolanda1, Villa, Roberto Edoardo1, Woutersen, Ruud1, Saarela, Maria1, Brozzi, Rosella1, Galobart, Jaume1 |
| Source: |
EFSA Journal. Jul2021, Vol. 19 Issue 7, p1-7. 7p. |
| Subject Terms: |
*Animal feeds, Feed additives, Animal species, Pediococcus, Substance abuse |
| Abstract: |
Following a request from the European Commission, the Panel on Additives and Products or Substances used in Animal Feed (FEEDAP) was asked to deliver a scientific opinion on the assessment of the application for renewal of the authorisation of Pediococcus pentosaceus DSM 12834 as a technological additive for all animal species. The applicant has provided evidence that the additive currently on the market complies with the existing conditions of authorisation. There is no evidence that would lead the FEEDAP Panel to reconsider its previous conclusions. Thus, the Panel concludes that the additive remains safe for all animal species, consumer and the environment under the authorised conditions of use. Regarding user safety Pediococcus pentosaceus DSM 12834 is not irritant to skin and eyes but is considered a skin and respiratory sensitiser. There is no need for assessing the efficacy of the additive in the context of the renewal of the authorisation. [ABSTRACT FROM AUTHOR] |
|
Copyright of EFSA Journal is the property of European Food Safety Authority and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
GreenFILE |