Critères d’acceptation des échantillons
Publié le
05 décembre 2018
PARTAGER SUR :
Cet article doit permettre au demandeur de connaître les motifs pour lesquels un prélèvement est susceptible de ne pouvoir être traité par le laboratoire et faire l'objet d'un avis de non-conformité.
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
dtbliUXstvHdYe5j