SHORT COMMUNICATION
Use of discriminant analysis on NIRS to detect
meat-and-bone meal content in ruminant
concentrates
1
College of Engineering, China Agricultural University,
Beijing 100083, P.R. China
2
Key Laboratory of Modern Precision Agriculture System Integration,
Ministry of Education, Beijing 100083, P.R. China
3
Institute of Quality and Standards for Agri-Product, Chinese Academy,
of Agricultural Sciences, Beijing 100081, P.R. China
Publication date: 2007-09-17
Corresponding author
J. Anim. Feed Sci. 2007;16(Suppl. 2):442-447
KEYWORDS
ABSTRACT
A purpose of this study was to demonstrate the feasibility of using near infrared reflectance
spectroscopy (NIRS) to identify MBM (meat-and-bone meal) in the ruminant concentrates. A partial
least squares discriminant analysis equation was developed with 235 samples and validated with
59 samples. A calibration model was developed based on spectra region from 1100 to 2498 nm
with mathematic pretreatment 2,4,4,1 and with scatter correction SNVDT (the standard normal
variate-detrending). For external validation, there was the accurately discriminant rate of 100%. The
results indicated that NIRS could provide a rapidly method for detecting the adulteration of ruminant
concentrates with MBM.
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A Markov random field based approach to the identification of meat and bone meal in feed by near-infrared spectroscopic imaging
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Analytical and Bioanalytical Chemistry
Xunpeng Jiang, Zengling Yang, Lujia Han
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Zengling Yang, Lujia Han, Juan Antonio Fernández Pierna, Pierre Dardenne, Vincent Baeten
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