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Recent Progress in the Application of Near Infrared Spectroscopy in Qualitative Identification of Meat Products |
HUANG Wei;YANG Xiu-juan;ZHANG Yan-ming;HUANG Yu;TAO Lin-li |
1. College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China;
2. Key Laboratory of Animal Nutrition and Feed in Yunnan Province, Kunming 650201, China |
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Abstract Near infrared spectroscopy (NIS) has been widely used in the meat industry as a newly emerging rapid and
environmental friendly detection technology. This article summarizes the recent progress in the identification of meat species
by means of near infrared spectroscopy from the following aspects: grade, breed, species, geographical traceability and
feeding style. Meat products are generally categorized into four grades: RFN, PFN, PSE and RSE. The accuracy of NIS
in discriminating these meat grades is over 80%. Most studies concerning meats from different breeds of the same species
are focused on pork and beef. Meats from the different breeds of the same species as well as from animals of different age
groups have been identified by multiple quantitative calibration or discrimination analysis with an accuracy of more than
95%. Furthermore, meats from different species including pork, mutton, beef and chicken and adulterated meat have been
discriminated with an accuracy above 90%. In regard to geographical traceability and feeding style, grass-fed lambs have
been accurately discriminated from feed-fed ones, and ewes from artificially fed lambs; meanwhile, the geographical origins
of beef and mutton from different regions have been identified with an accuracy of more than 83%. To sum up, NIS is
feasible in the qualitative identification of meat.
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