Non-invasive sex assessment in bovine semen by Raman spectroscopy
Anno: 2014
Autori: De Luca A.C., Manago S., Ferrara M.A., Rendina I., Sirleto L., Puglisi R., Balduzzi D., Galli A., Ferraro P., Coppola G.
Affiliazione autori: CNR, Inst Prot Biochem, I-80131 Naples, Italy; CNR, Inst Microelect & Microsyst, I-80131 Naples, Italy; Ist Sperimentale Italiano Lazzaro Spallanzani, I-26027 Rivolta Dadda, CR, Italy; CNR, Natl Inst Opt, I-80078 Pozzuoli, NA, Italy.
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.
Giornale/Rivista: LASER PHYSICS LETTERS
Volume: 11 (5) Da Pagina: 55604-1 A: 55604-8
Maggiori informazioni: This work was partially supported by the SESSIBOV project from the Italian Ministry of Agricultural, Food and Forestry Policies. ACDL is supported by an AIRC Start-up Grant 11454 and a FIR project RBFR12WAPY. The authors thank Dr C Wilson for the critical reading of the manuscript.Parole chiavi: Raman spectroscopy; biophotonics; sex-sorting; spermatozoaDOI: 10.1088/1612-2011/11/5/055604Citazioni: 35dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2025-05-11Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui