Use of discriminant analysis on NIRS to detect meat-and-bone meal content in ruminant concentrates
Z. Yang 1,2
L. Han 1,2
Q. Li 1,2
X. Fan 3
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College of Engineering, China Agricultural University, Beijing 100083, P.R. China
Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, P.R. China
Institute of Quality and Standards for Agri-Product, Chinese Academy, of Agricultural Sciences, Beijing 100081, P.R. China
L. Han   

College of Engineering, China Agricultural University, Beijing 100083, P.R. China
Publication date: 2007-09-17
J. Anim. Feed Sci. 2007;16(Suppl. 2):442–447
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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