Use of discriminant analysis on NIRS to detect
meat-and-bone meal content in ruminant
concentrates

Z. Yang; L. Han; Q. Li; X. Fan

doi:10.22358/jafs/74576/2007

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Suppl. 2/2007 vol. 16

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SHORT COMMUNICATION

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

Publication date: 2007-09-17

Corresponding author

L. Han

College of Engineering, China Agricultural University, Beijing 100083, P.R. China

J. Anim. Feed Sci. 2007;16(Suppl. 2):442-447

DOI: https://doi.org/10.22358/jafs/74576/2007

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Citations (5)

KEYWORDS

NIRS

discriminant analysis

MBM

ruminant concentrates

adulteration

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.

CITATIONS (5):

A Markov random field based approach to the identification of meat and bone meal in feed by near-infrared spectroscopic imaging
Xunpeng Jiang, Zengling Yang, Lujia Han
Analytical and Bioanalytical Chemistry

CrossRef

The Potential of near Infrared Microscopy to Detect, Identify and Quantify Processed Animal by-Products
Zengling Yang, Lujia Han, Juan Antonio Fernández Pierna, Pierre Dardenne, Vincent Baeten
Journal of Near Infrared Spectroscopy

CrossRef

Computer and Computing Technologies in Agriculture X
Lianping Jia, Peng Jiao, Junning Zhang, Zhen Zeng, Xunpeng Jiang

CrossRef

Validation of a near infrared microscopy method for the detection of animal products in feedingstuffs: results of a collaborative study
A. Boix, J.A. Pierna, Holst von, V. Baeten
Food Additives & Contaminants: Part A

CrossRef

A Review on the Use of Near-Infrared Spectroscopy for Analyzing Feed Protein Materials
Longjian Chen, Zengling Yang, Lujia Han
Applied Spectroscopy Reviews

CrossRef

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1230-1388

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