Italian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Virological Methods 1987-Feb

Competitive and blocking enzyme-linked immunoassay for detection of fetal bovine serum antibodies to bovine viral diarrhea virus.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
J B Katz
S K Hanson

Parole chiave

Astratto

A competitive blocking enzyme-linked immunoassay (CELIA) was developed to detect bovine viral diarrhea virus (BVDV) antibodies in undiluted fetal bovine serum (FBS). The CELIA was based on competition of serum BVDV antibodies with biotin-labelled anti-BVDV immunoglobulins (Ig) for a limited quantity of solid-phase BVDV antigen. Antigen preparation was simple, FBS could be tested undiluted, and detergent-containing washes were unnecessary. A series of dilutions of postnatal bovine BVDV antiserum prepared in FBS and a set of 147 undiluted abbatoir FBS samples were tested by both CELIA and serum neutralization tests (SNT). CELIA results on both sets of specimens correlated positively with SNT titers (r = 0.99 and r = 0.85). Relative to the SNT, CELIA sensitivity was 100%; specificity was 76%. CELIA detected a level of BVDV antibody below the 1:2-titer threshold detectable with the SNT. Advantages, limitations, and theoretical differences between the CELIA and SNT are discussed. A similar comparison of CELIA with non-competitive enzyme-linked immunoassay approaches to BVDV serodiagnosis is made. It is concluded that the CELIA is valuable in selecting only BVDV-seronegative FBS for use in virologic cell culture media.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge