Discrimination of mastitis history in dairy cows by Raman spectroscopy of milk components

Miyako Iritani; Terumasa Ito; Kentaro Nagaoka; Kazuhiko Misawa

doi:10.1117/12.2609415

7 March 2022 Discrimination of mastitis history in dairy cows by Raman spectroscopy of milk components

Miyako Iritani, Terumasa Ito, Kentaro Nagaoka, Kazuhiko Misawa

Proceedings Volume PC11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry; PC1195712 (2022) https://doi.org/10.1117/12.2609415
Event: SPIE BiOS, 2022, San Francisco, California, United States

Conference Poster

Abstract

Mastitis is a common disease in dairy cows and is considered to be one of the most intractable diseases in the world. We analyzed Raman spectra of milk samples from cows that have been treated for mastitis and have recovered, and those from cows that have no history of mastitis. The result shows that signal components derived from carotenoids and unsaturated fatty acids can be used as markers to predict mastitis history. Our new method based on simple and direct milk measurements will be a powerful tool to determine the prevalence and severity of mastitis in future field diagnosis applications.

Conference Presentation

Citation Download Citation

Miyako Iritani, Terumasa Ito, Kentaro Nagaoka, and Kazuhiko Misawa "Discrimination of mastitis history in dairy cows by Raman spectroscopy of milk components", Proc. SPIE PC11957, Biomedical Vibrational Spectroscopy 2022: Advances in Research and Industry, PC1195712 (7 March 2022); https://doi.org/10.1117/12.2609415

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