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

摘要：

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.

关键词： NIRS discriminant analysis MBM ruminant concentrates adulteration

作者: Z.Yang L.Han Q.Li X.Fan

作者单位: College of Engineering, China Agricultural University Beijing 100083, P.R.China;Key Laboratory of Mo Institute of Quality and Standards for Agri-Product, Chinese Academy of Agricultural Sciences, Beiji

会议类型: 国际会议

会议名称: The 7tb International Symposium on the Nutrition of Herbivores(ISNH-7)(第七届国际草食动物营养研讨会)

会议地点: 北京

会议语种:英文

页码: 942-947

在线出版日期: 2007-09-16（万方平台首次上网日期，不代表论文的发表时间）