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Pregled bibliografske jedinice broj: 779896

Identification of enterococci from raw cow milk by MALDI-TOF MS


Dobranić, Vesna; Kazazić, Snježana; Zdolec, Nevijo
Identification of enterococci from raw cow milk by MALDI-TOF MS // Book of Abstracts The 6th International Congress "Veterinary Science and Profession" / Horvatek Tomić, Danijela ; Severin, Krešimir ; Slavica, Alen (ur.).
Zagreb: Veterinarski fakultet Sveučilišta u Zagrebu, 2015. str. 87-87 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 779896 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Identification of enterococci from raw cow milk by MALDI-TOF MS

Autori
Dobranić, Vesna ; Kazazić, Snježana ; Zdolec, Nevijo

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts The 6th International Congress "Veterinary Science and Profession" / Horvatek Tomić, Danijela ; Severin, Krešimir ; Slavica, Alen - Zagreb : Veterinarski fakultet Sveučilišta u Zagrebu, 2015, 87-87

Skup
The 6th International Congress "Veterinary Science and Profession"

Mjesto i datum
Zagreb, Hrvatska, 01.10.2015. - 02.10.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
MALDI-TOF MS; enterococci; milk

Sažetak
Raw milk consumption could present potential risk for public health due to the presence of foodborne pathogens, opportunistic pathogens and spoilage microorganisms. In this research microbiota or raw cow milk samples (n=36) was studied in particular reference to the presence and identification of enterococci by phenotypic methods. Presumptive enterococci (n=43) were randomly selected from chromogenic media and subjected to phenotypic identification by API 20 Strep followed by Matrix-Assisted Laser Desorption Ionization – Time of Flight Mass Spectometry. Enterococci number ranged from 1 to 5 log10 cfu/g, depending on udder health status. MALDI- TOF MS technique showed the 100 % concordance with API 20 Strep in the identification of Enterococcus faecalis (n=24). Strains determined to the genus level or not determined strains by API 20 Strep have been successfully identified using MALDI-TOF MS to the strain level as E. faecalis, E. faecium or E. durans. Results showed that MALDI-TOF MS could be applied as reliable method in routine identification of enterococcal species from raw milk.

Izvorni jezik
Engleski

Znanstvena područja
Veterinarska medicina



POVEZANOST RADA


Ustanove:
Veterinarski fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Snježana Kazazić (autor)

Avatar Url Vesna Dobranić (autor)

Avatar Url Nevijo Zdolec (autor)


Citiraj ovu publikaciju:

Dobranić, Vesna; Kazazić, Snježana; Zdolec, Nevijo
Identification of enterococci from raw cow milk by MALDI-TOF MS // Book of Abstracts The 6th International Congress "Veterinary Science and Profession" / Horvatek Tomić, Danijela ; Severin, Krešimir ; Slavica, Alen (ur.).
Zagreb: Veterinarski fakultet Sveučilišta u Zagrebu, 2015. str. 87-87 (poster, međunarodna recenzija, sažetak, znanstveni)
Dobranić, V., Kazazić, S. & Zdolec, N. (2015) Identification of enterococci from raw cow milk by MALDI-TOF MS. U: Horvatek Tomić, D., Severin, K. & Slavica, A. (ur.)Book of Abstracts The 6th International Congress "Veterinary Science and Profession".
@article{article, author = {Dobrani\'{c}, Vesna and Kazazi\'{c}, Snje\v{z}ana and Zdolec, Nevijo}, year = {2015}, pages = {87-87}, keywords = {MALDI-TOF MS, enterococci, milk}, title = {Identification of enterococci from raw cow milk by MALDI-TOF MS}, keyword = {MALDI-TOF MS, enterococci, milk}, publisher = {Veterinarski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Dobrani\'{c}, Vesna and Kazazi\'{c}, Snje\v{z}ana and Zdolec, Nevijo}, year = {2015}, pages = {87-87}, keywords = {MALDI-TOF MS, enterococci, milk}, title = {Identification of enterococci from raw cow milk by MALDI-TOF MS}, keyword = {MALDI-TOF MS, enterococci, milk}, publisher = {Veterinarski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb, Hrvatska} }




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