【作者】 杨增玲； 韩鲁佳； 李琼飞； 刘贤；

【Author】 Yang Zengling1,2, Han Lujia1,2, Li Qiongfei3, Liu Xian1,2 ( 1. College of Engineering, China Agricultural University, Beijing 100083, China; 2. State Key Laboratory of Animal Nutrition, Beijing 100091, China; 3. School of Information Management, Shanghai Finance University,Shanghai 201209, China)

【机构】 中国农业大学工学院； 动物营养学国家重点实验室； 上海金融学院信息管理学院；

【摘要】 由于用肉骨粉饲喂反刍动物有引发疯牛病的危险,因此在饲料工业中肉骨粉的安全、健康使用受到社会的广泛关注。该文探讨近红外反射光谱技术检测精料和鱼粉中肉骨粉含量的可行性。235个精料、135个鱼粉和58个肉骨粉样品被收集。掺假样品采用随机区组试验设计在实验室制备,精料中肉骨粉的含量为0.5%-35%,鱼粉中肉骨粉的含量为1%-32%。采用改进的偏最小二乘法建立定量分析模型。精料和鱼粉中肉骨粉含量的近红外定标模型交互验证标准差分别为3.25%和3.60%,相对分析误差RPD分别为3.25和2.76。用独立的验证集对所建立的模型进行验证,验证标准差分别为3.19%和4.14%。结果证明近红外反射光谱技术可以快速检测精料和鱼粉中的肉骨粉含量。更多还原

【Abstract】 The safe and healthy use of meat and bone meal (MBM) in animal Feed Industry is of public concern for the risk of the transmission of bovine spongiform encephalopathy (BSE). The objective of the present work was to develop a Near Infrared Reflectance Spectroscopy (NIRS) technique suitable for quantifying contaminating levels of MBM in concentrate supplement and fishmeal. 235 concentrate supplement, 135 fishmeal and 58 MBM samples were collected. Adulterated samples were prepared in laboratory by spiking concentrate supplement with varying amounts (0.5 to 35%) of MBM and by spiking fishmeal with varying amounts (1 to 32%) of MBM according to a factorial design of randomized blocks. MPLS quantitative models successfully predicted the MBM in concentrate supplement and fishmeal with standard error of cross-validation (SECV) of 3.25% and 3.60% and ratio of the standard deviation of the validation set to the standard error of prediction (RPD) of 3.25 and 2.76 respectively. The calibrations were validated by independent validation set with SEP of 3.19% and 4.14% respectively. The calibration and validation results confirm that NIRS can provide a rapid technique for the quantification of MBM in concentrate supplement and fishmeal.更多还原