检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杨增玲[1,2] 韩鲁佳[1,2] 刘贤[1,2] 李琼飞[3]
机构地区:[1]中国农业大学工学院,北京100083 [2]中国农业大学动物营养学国家重点实验室,北京100091 [3]上海金融学院信息管理学院,上海201209
出 处:《农业工程学报》2009年第7期308-311,共4页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然科学基金项目(30571074);国家"十一五"科技支撑计划子课题项目(2006BAD12B03-03);动物营养学国家重点实验室自主研发课题
摘 要:为了能更加快速准确的定性判别鱼粉中是否掺有肉骨粉(MBM),该文收集中国常用的鱼粉和肉骨粉,制备定标集样品201个,其中111个为掺有不同肉骨粉质量分数(1%~33%)的样品,90个为纯鱼粉,并独立制备113个验证集样品,其中74个为掺有不同肉骨粉质量分数(1%~33%)的样品,39个为纯鱼粉。在400~2498nm波长范围内进行光谱扫描,选择合适的光谱预处理方法和光谱范围,采用DPLS方法建立判别分析模型。建立的判别分析模型:数学预处理方法为2-8-6-1,散射校正方法为变量标准化处理(SNV),光谱范围为全谱(408~2492nm),定标模型的正确判断率为95.7%,外部验证正确判断率为95.6%,对于掺入量≥5%MBM时,正确判断率为100%。研究结果证明近红外反射光谱可以提供一种快速鉴别鱼粉中MBM的方法。In order to rapidly and accurately discriminate whether fishmeal was adulterated with meat and bone meal(MBM)or not,representative fishmeal and MBM samples were collected in China.201 calibration samples were prepared,including 111 samples adulterated with MBM(1%-33%)and 90 pure fishmeal samples.113 external validation samples were prepared independently,including 74 samples adulterated with MBM(1%-33%)and 39 pure fishmeal samples.The spectra were scanned from 400 nm to 2 498 nm.The effects of spectrum pretreatment methods and spectrum region on the calibration results were considered.The calibration equations were established by DPLS.A DPLS discriminant analysis model was developed based on spectra region from 400 nm to 2 498 nm with mathematic pretreatment 2-8-6-1 and scatter correction treatment the standard normal variate(SNV).The accurate discriminant rate of calibration and external validation was 95.7%and 95.6%respectively.For the adulterated samples(MBM mass percentage≥5%),the accurate discriminant rate was 100%.The results of the study indicate that NIRS can provide a rapid discriminination method for meat and bone meal in fishmeal.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.15