DART mass spectrometry: a rapid tool for the identification of feed additives containing coccidiostats as active substances.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess
; 39(3): 475-487, 2022 Mar.
Article
in En
| MEDLINE
| ID: mdl-35044898
ABSTRACT
Feed additives require pre-market authorisation prior to their use in the EU. For the group of coccidiostats, the EU regulations authorising these products include specifications for these substances and the major components of the feed additive formulations. Feed business operators can use only feed additives that meet these criteria. The traceability of these products is supported by the allocation of specific identification numbers that need to be printed on the feed additive label along with other information. In the present study, Direct Analysis in Real Time mass spectrometry (DART-MS) was applied to investigate the correct characterisation of feed additives that contain coccidiostats as active substances. The results of the study demonstrated that this technique allows an unequivocal identification of the active substances in the feed additive formulations when combining DART with high-resolution mass spectrometry. In addition, two feed additives containing the same coccidiostat, but different excipients could be correctly classified according to their composition. The method protocol is very simple and comprises two steps, namely the extraction of the feed additives with an organic solvent and the subsequent measurement with DART-MS. For the evaluation of the MS spectra, chemometrics was applied offering an effective method for classification. Chemometric models were established with nominal masses obtained from the analysis of the samples, thus showing that these feed additives could be correctly classified even using low-resolution mass spectrometry. Moreover, we demonstrated that molecule-specific stable isotope patterns obtained with low-resolution mass spectrometry could be used as an alternative tool for the confirmation of the active substance.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Coccidiostats
Type of study:
Diagnostic_studies
/
Prognostic_studies
Language:
En
Journal:
Food Addit Contam Part A Chem Anal Control Expo Risk Assess
Journal subject:
CIENCIAS DA NUTRICAO
Year:
2022
Document type:
Article
Affiliation country:
Belgium
Publication country:
ENGLAND
/
ESCOCIA
/
GB
/
GREAT BRITAIN
/
INGLATERRA
/
REINO UNIDO
/
SCOTLAND
/
UK
/
UNITED KINGDOM