Evaluation of a new culture medium for the enumeration and isolation of Streptococcus salivarius subsp. thermophilus from cheese.


Journal

Food microbiology
ISSN: 1095-9998
Titre abrégé: Food Microbiol
Pays: England
ID NLM: 8601127

Informations de publication

Date de publication:
May 2021
Historique:
received: 13 01 2020
revised: 26 10 2020
accepted: 01 11 2020
entrez: 5 1 2021
pubmed: 6 1 2021
medline: 4 6 2021
Statut: ppublish

Résumé

Enumeration and isolation of Streptococcus salivarius subsp. thermophilus from cheese is challenging, due to the relatively high number of species it may host. We describe medium SPY9.3 for the cultivation of S. salivarius subsp. thermophilus from cheese. The medium and related incubation conditions (SPY) was compared with 2 other protocols, M17 and ST: sensitivity was assessed by parallel cultivation of 55 strains of S. salivarius subsp. thermophilus, and selectivity by (i) parallel cultivation of 60 strains belonging to 20 different non-target species and sub-species and (ii) isolating bacteria from 3 raw-milk cheeses. Colony counts were similar on SPY9.3 and M17 (mean difference 0.07 log(cfu/mL), p > 0.001) and significantly higher on ST than on M17 and SPY9.3 (mean differences 0.42 and 0.48 log(cfu/mL), respectively, p < 0.001). SPY was more specific than ST and M17, with respectively 20%, 40%, and 50% of the investigated non-target species able to grow. S. salivarius subsp. thermophilus, Enterococcus spp., and Staphylococcus aureus were indistinguishable using all 3 protocols. Only SPY avoided growth of Lactobacillus delbrueckii subsp. lactis. Finally, ST and SPY displayed higher recoveries of S. salivarius subsp. thermophilus colonies from cheese than M17 (5.6, 5.5, and 3.0 adjusted log(cfu/mL), respectively) and the lowest proportion of non-specific isolates. The protocol described here and based on SPY9.3 presents a promising alternative to existing protocols for the enumeration and isolation of S salivarius subsp. thermophilus from cheese or other complex fermented products.

Identifiants

pubmed: 33397607
pii: S0740-0020(20)30261-6
doi: 10.1016/j.fm.2020.103672
pii:
doi:

Substances chimiques

Culture Media 0

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103672

Informations de copyright

Copyright © 2020 Agroscope. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Noam Shani (N)

Agroscope, Competence Division Methods Development and Analytics, Research Group Fermenting Organisms, Schwarzenburgstrasse 161, 3003, Bern, Switzerland. Electronic address: noam.shani@agroscope.admin.ch.

Dino Isolini (D)

Agroscope, Competence Division Methods Development and Analytics, Research Group Fermenting Organisms, Schwarzenburgstrasse 161, 3003, Bern, Switzerland.

Daniel Marzohl (D)

Agroscope, Competence Division Methods Development and Analytics, Research Group Fermenting Organisms, Schwarzenburgstrasse 161, 3003, Bern, Switzerland.

Hélène Berthoud (H)

Agroscope, Competence Division Methods Development and Analytics, Research Group Fermenting Organisms, Schwarzenburgstrasse 161, 3003, Bern, Switzerland.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH