Non-invasive sex assessment in bovine semen by Raman spectroscopy (Articolo in rivista)

Type
Label
  • Non-invasive sex assessment in bovine semen by Raman spectroscopy (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1088/1612-2011/11/5/055604 (literal)
Alternative label
  • De Luca, A. C.; Manago, S.; Ferrara, M. A.; Rendina, I.; Sirleto, L.; Puglisi, R.; Balduzzi, D.; Galli, A.; Ferraro, P.; Coppola, G. (2014)
    Non-invasive sex assessment in bovine semen by Raman spectroscopy
    in Laser physics letters (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Luca, A. C.; Manago, S.; Ferrara, M. A.; Rendina, I.; Sirleto, L.; Puglisi, R.; Balduzzi, D.; Galli, A.; Ferraro, P.; Coppola, G. (literal)
Pagina inizio
  • 055604 (literal)
Pagina fine
  • 055604 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 11 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 5 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • National Research Council, Institute of Protein Biochemistry, Via P. Castellino 111, 80131 Naples, Italy; National Research Council, Institute for Microelectronics and Microsystems, Via P. Castellino 111, 80131 Naples, Italy; Istituto Sperimentale Italiano Lazzaro Spallanzani, Localitá La Quercia, 26027 Rivolta d'Adda (CR), Italy; National Research Council, National Institute of Optics, Via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy (literal)
Titolo
  • Non-invasive sex assessment in bovine semen by Raman spectroscopy (literal)
Abstract
  • X- and Y-chromosome-bearing sperm cell sorting is of great interest, especially for animal production management systems and genetic improvement programs. Here, we demonstrate an optical method based on Raman spectroscopy to separate X- and Y-chromosome-bearing sperm cells, overcoming many of the limitations associated with current sex-sorting protocols. A priori Raman imaging of bull spermatozoa was utilized to select the sampling points (head-neck region), which were then used to discriminate cells based on a spectral classification model. Main variations of Raman peaks associated with the DNA content were observed together with a variation due to the sex membrane proteins. Next, we used principal component analysis to determine the efficiency of our device as a cell sorting method. The results (>90% accuracy) demonstrated that Raman spectroscopy is a powerful candidate for the development of a highly efficient, non-invasive, and non-destructive tool for sperm sexing. (literal)
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