FOOD SCIENCE

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Rapid and Nondestructive Identification of Chicken Breeds by Near Infrared Spectroscopy

GONG Yan, TANG Xiaoyan*, WANG Min, TAO Rui, MAO Xuefei   

  1. Key Laboratory of Agri-food Safety and Quality, Ministry of Agriculture, Institute of Quality Standards and Testing Technology for
    Agro-products, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Online:2015-08-25 Published:2015-08-17
  • Contact: TANG Xiaoyan

Abstract:

Totally 40 chicken breast muscle samples from AA broiler chicken, Jinghai yellow chicken and Langshan chicken
were subjected to near infrared (NIR) analysis. Chicken meat slice and meat emulsion were scanned with a portable
NIR spectrometer (1 000–2 500 nm), respectively and then analyzed for color, protein, fat and moisture. A total of 90
chicken samples were selected as modeling sets. Breeds identification models of chicken meat slice and meat emulsion
were established using partial least squares discriminant analysis (PLS-DA). The established models showed 100% and
97.7% accuracy for discriminating calibration set and validation set and 90% accuracy for the remaining 30 chicken
samples, respectively.

Key words: chicken breeds, near infrared spectroscopy, rapid and nondestructive identification

CLC Number: