农业机械学报2011，Vol.42Issue(7)：155-159,5.
精料补充料中肉骨粉的显微近红外成像识别
Discrimination of Meat and Bone Meal in Concentrate Supplement by Near-infrared Microscopic Imaging
摘要
Abstract
The possibility of using near-infrared microscopic imaging to discriminate meat and bone meal ( MBM ) in concentrate supplement was investigated. Samples of MBM and dairy concentrate supplement were collected, and the sediment particles were prepared and arranged on polytetrafluoroethene ( PTFE ) background plate for near infrared imaging. Image size was 5 000 μm x 5 000 p,m, using 50 μm pixel resolution (10 000 spectra were obtained). Each spectrum was across the wavelength range 7 800 ~ 4 000 cm-1 , with 8 cm-1 data resolution. Both principal component analysis and fuzzy clustering analysis were used to extract and present relevant information from NIR microscopic imaging data sets. The results showed that MBM could be distinguished from dairy concentrate supplement by the scores from principal component analysis, and the samples were subdivided by using fuzzy C-means clustering based on the PCA analysis. It is demonstrated that NIR microscopic imaging approach is one of the most promising methods for detecting MBM.关键词
精料补充料/肉骨粉/显微近红外成像Key words
Concentrate supplement/ Meat and bone meal/ Near-infrared microscopic imaging分类
化学化工引用本文复制引用
姜训鹏,杨增玲,韩鲁佳,刘贤..精料补充料中肉骨粉的显微近红外成像识别[J].农业机械学报,2011,42(7):155-159,5.基金项目
国家自然科学基金资助项目(31072062、QSAFFE)、国际科技合作项目(2010DFA34540)、欧盟第七框架协议项目(FP7-265702)和中国与比利时科技合作项目(国科外函[2010]177号) （31072062、QSAFFE）
