Predicting meat quality: the application of NIR spectroscopy

Autor:	Prieto, Nuria, Ross, D. R., Roehe, R.
Rok vydání:	2009
Zdroj:	Digital.CSIC. Repositorio Institucional del CSIC instname
Popis:	3 pages, 2 figures. Over the past three decades, Near Infrared Reflectance (NIR) spectroscopy has been shown to be one of the most efficient and accurate tools for predicting various meat quality criteria. NIR spectroscopy is a suitable alternative to other analytical procedures since it is a rapid and non-destructive method, entailing minimal sample preparation. The technique does not require reagents nor does it produce waste and it can be easily integrated into the production process.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::55f329b447e0875dcc74e8a28e437399 http://hdl.handle.net/10261/22706 Zobrazit plný text záznamu