RT info:eu-repo/semantics/article
T1 Maximum levels of cross‐contamination for 24 antimicrobial active substances in non‐target feed. Part 1: Methodology, general data gaps and uncertainties
A1 Koutsoumanis, Konstantinos
A1 Allende, Ana
A1 Álvarez Ordóñez, Avelino
A1 Bolton, Declan
A1 Bover‐Cid, Sara
A1 Chemaly, Marianne
A1 Davies, Robert
A1 De Cesare, Alessandra
A1 Herman, Lieve
A1 Hilbert, Friederike
A1 Lindqvist, Roland
A1 Nauta, Maarten
A1 Ru, Giuseppe
A1 Simmons, Marion
A1 Skandamis, Panagiotis
A1 Suffredini, Elisabetta
A1 Andersson, Dan I
A1 Bampidis, Vasileios
A1 Bengtsson‐Palme, Johan
A1 Bouchard, Damien
A1 Ferran, Aude
A1 Kouba, Maryline
A1 López Puente, Secundino
A1 López Alonso, Marta
A1 Nielsen, Søren Saxmose
A1 Pechová, Alena
A1 Petkova, Mariana
A1 Girault, Sebastien
A1 Broglia, Alessandro
A1 Guerra, Beatriz
A1 Innocenti, Matteo Lorenzo
A1 Liébana, Ernesto
A1 López Gálvez, Gloria
A1 Manini, Paola
A1 Stella, Pietro
A1 Peixe, Luisa
A2 Tecnologia de los Alimentos
K1 Tecnología de los alimentos
K1 Antimicrobial resistance
K1 Antimicrobial resistance selection concentration (FARSC)
K1 Minimal selective concentration (MSC)
K1 Sub-inhibitory concentration
K1 Growth promotion
K1 Yield increase
K1 Food-producing animals
K1 3309 Tecnología de Los Alimentos
K1 2414.04 Bacteriología
AB [EN] The European Commission requested EFSA to assess, in collaboration with EMA, the specific concentrations of antimicrobials resulting from cross-contamination in non-target feed for food-producing animals below which there would not be an effect on the emergence of, and/or selection for, resistance in microbial agents relevant for human and animal health, as well as the levels of the antimicrobials which could have a growth promotion/increase yield effect. The assessment was performed for 24 antimicrobial active substances, as specified in the mandate. This scientific opinion describes the methodology used, and the main associated data gaps and uncertainties. To estimate the antimicrobial levels in the non-target feed that would not result in emergence of, and/or selection for, resistance, a model was developed. This ‘Feed Antimicrobial Resistance Selection Concentration’ (FARSC) model is based on the minimal selective concentration (MSC), or the predicted MSC (PMSC) if MSC for the most susceptible bacterial species is unavailable, the fraction of antimicrobial dose available for exposure to microorganisms in the large intestine or rumen (considering pharmacokinetic parameters), the daily faecal output or rumen volume and the daily feed intake. Currently, lack of data prevents the establishment of PMSC and/or FARSC for several antimicrobials and animal species. To address growth promotion, data from an extensive literature search were used. Specific assessments of the different substances grouped by antimicrobial classes are addressed in separate scientific opinions. General conclusions and recommendations were made.
PB Wiley Open Access
SN 1831-4732
LK https://hdl.handle.net/10612/20690
UL https://hdl.handle.net/10612/20690
NO Koutsoumanis, K., Allende, A., Álvarez Ordóñez, A., Bolton, D., Bover-Cid, S., Chemaly, M., Davies, R., De Cesare, A., Herman, L., Hilbert, F., Lindqvist, R., Nauta, M., Ru, G., Simmons, M., Skandamis, P., Suffredini, E., Andersson, D. I., Bampidis, V., Bengtsson-Palme, J., et al. (2021). Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 1: Methodology, general data gaps and uncertainties. EFSA Journal, 19(10), Article e6852. https://doi.org/10.2903/J.EFSA.2021.6852
DS BULERIA. Repositorio Institucional de la Universidad de León
RD Jul 12, 2024