首页> 外文会议>Photonic Applications in Biosensing and Imaging; Progress in Biomedical Optics and Imaging; vol.6 no.39 >Potential of near-infrared hyperspectral reflectance imaging for screening of farm feed contamination
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Potential of near-infrared hyperspectral reflectance imaging for screening of farm feed contamination

机译:近红外高光谱反射成像在筛查农场饲料污染方面的潜力

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With the outbreak of Bovine Spongiform Encephalopathy (BSE) (commonly known as mad cow disease) in 1987 in the United Kingdom and a recent case discovered in Alberta, more and more emphasis is placed on food and farm feed quality and safety issues internationally. The disease is believed to be spread through farm feed contamination by animal byproducts in the form of meat-and-bone-meal (MBM). The paper reviewed the available techniques necessary to the enforcement of legislation concerning the feed safety issues. The standard microscopy method, although highly sensitive, is laborious and costly. A method to routinely screen farm feed contamination certainly helps to reduce the complexity of safety inspection. A hyperspectral imaging system working in the near-infrared wavelength region of 1100-1600 nm was used to study the possibility of detection of ground broiler feed contamination by ground pork. Hyperspectral images of raw broiler feed, ground broiler feed, ground pork, and contaminated feed samples were acquired. Raw broiler feed samples were found to possess comparatively large spectral variations due to light scattering effect. Ground feed adulterated with 1%, 3%, 5%, and 10% of ground pork was tested to identify feed contamination. Discriminant analysis using Mahalanobis distance showed that the model trained using pure ground feed samples and pure ground pork samples resulted in 100% false negative errors for all test replicates of contaminated samples. A discriminant model trained with pure ground feed samples and 10% contamination level samples resulted in 12.5% false positive error and 0% false negative error.
机译:随着1987年英国牛海绵状脑病(BSE)(通常被称为疯牛病)的爆发以及最近在艾伯塔省发现的一例,国际上越来越重视食品和农场饲料的质量和安全问题。据信这种疾病是通过肉和骨粉(MBM)形式的动物副产品通过农场饲料污染传播的。该文件回顾了执行有关饲料安全问题的立法所必需的可用技术。尽管标准显微镜法非常灵敏,但却费力且昂贵。常规筛查农场饲料污染的方法无疑有助于降低安全检查的复杂性。使用工作在1100-1600 nm的近红外波长范围内的高光谱成像系统来研究检测猪肉碎对肉鸡饲料的污染的可能性。获取了原始肉鸡饲料,碎肉鸡饲料,碎猪肉和受污染的饲料样品的高光谱图像。由于光散射效应,发现生的肉鸡饲料样品具有较大的光谱变化。对掺有1%,3%,5%和10%的猪肉末掺假的地面饲料进行了测试,以识别饲料污染。使用马氏距离的判别分析表明,使用纯地面饲料样品和纯猪肉末样品训练的模型对所有受污染样品的测试重复均产生100%的假阴性误差。用纯地面饲料样本和10%污染水平样本训练的判别模型导致了12.5%的假阳性误差和0%的假阴性误差。

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