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"mcelhinney" - 1 õppematerjal

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2005; Hoving-Bolink et al. the complicated spectra data interpretation 2005; Shackelford et al. 2005; Barlocco (Prevolnik et al. 2004). et al. 2006; Savenije et al. 2006; Andrés et al. 2007; Rust et al. 2008). Moreover, NIR is used to detect the adulteration of meat and Conclusions meat products and to identify frozen/thawed meats (Downey and Beauchêne 1997a, b; The improvement of meat products’ quality McElhinney et al. 1999a, b; Ding and Xu is one of the most important challenges for 2000; Lyon et al. 2001). An extensive over- the industry in order to satisfy human desires, view of the applications of infrared spectros- to minimize economic losses, and to opti- copy in foods (Ozaky et al. 2007) and in mize meat plant processes. Meat quality can meat and meat products (Prevolnik et al. be based on technological, sensory, and 452 Chapter 25

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