HUŠÁKOVÁ, Markéta, R DZIEDZINSKA a Iva SLANÁ. Magnetic Separation Methods for the Detection of Mycobacterium avium subsp paratuberculosis in Various Types of Matrices: A Review. Biomed Research International. New York: Hindawi Publishing Corporation, 2017, 15 s. ISSN 2314-6133. Dostupné z: https://dx.doi.org/10.1155/2017/5869854.
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Základní údaje
Originální název Magnetic Separation Methods for the Detection of Mycobacterium avium subsp paratuberculosis in Various Types of Matrices: A Review
Autoři HUŠÁKOVÁ, Markéta, R DZIEDZINSKA a Iva SLANÁ.
Vydání Biomed Research International, New York, Hindawi Publishing Corporation, 2017, 2314-6133.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 2.583
Doi http://dx.doi.org/10.1155/2017/5869854
UT WoS 000402657500001
Štítky RIV ne
Změnil Změnila: Mgr. Markéta Hušáková, Ph.D., učo 447162. Změněno: 7. 8. 2017 12:23.
Anotace
The main reasons to improve the detection of Mycobacterium avium subsp. paratuberculosis (MAP) are animal health and monitoring of MAP entering the food chain via meat, milk, and/or dairy products. Different approaches can be used for the detection of MAP, but the use of magnetic separation especially in conjunction with PCR as an end-point detection method has risen in past years. However, the extraction of DNA which is a crucial step prior to PCR detection can be complicated due to the presence of inhibitory substances. Magnetic separation methods involving either antibodies or peptides represent a powerful tool for selective separation of target bacteria from other nontarget microorganisms and inhibitory sample components. These methods enable the concentration of pathogens present in the initial matrix into smaller volume and facilitate the isolation of sufficient quantities of pure DNA. The purpose of this review was to summarize the methods based on the magnetic separation approach that are currently available for the detection of MAP in a broad range of matrices.
VytisknoutZobrazeno: 9. 10. 2024 00:33