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
出 处:《农机化研究》2012年第9期199-202,共4页Journal of Agricultural Mechanization Research
基 金:国家自然科学基金项目(31160250;61178036);科技部农业科技成果转化资金项目(2011GB2C500008)
摘 要:食用植物油掺假是危害消费者健康和安全的热点问题。为此,采用共焦显微拉曼光谱技术对食用植物油的掺假进行快速检测。在90~3500 cm-1范围内,分别采集掺有5%~20%的花生油、大豆油和玉米油的芝麻油的拉曼光谱,将采集的原始光谱进行预处理,结合偏最小二乘法(PLS)建立芝麻油中花生油、大豆油、玉米油含量的拉曼光谱定标模型,用内部交互验证法进行验证。3种植物油的PLS交互验证模型的相系数分别达到96.2%,96.7%,95.2%,内部交互验证的均方根误差RMSECV分别为1.4%,1.2%,1.5%。实验表明,共焦显微拉曼光谱技术可用于掺假植物油的快速检测。Adulteration of edible vegetable oil is harmful to consumes' health and safety,which is a hot issue social concerned collectively.For rapid determination of the content of adulteration in edible oil,confocal microscope Raman spectroscopy is used.The Raman spectroscopy of sesame oil mixed with peanut oil,soybean oil and corn oil in the range of 0-20% are collected in 90~3500cm-1 region.After being pretreated with different methods and ruling out the outliers,partial least squares(PLS) is used to establish the cablibration models of quantitative analysis of peanut oil,soybean oil and corn oil.The reliability of the model established is verified by internal cross-validation.The cross-validation correlation coefficient R2 of the models built with PLS for three kinds of vegetable oil reachs to 96.2%,96.7%,95.2% respectively and the root mean square error of prediction RMSEP are 1.4%,1.2%,1.5%.Therefore,this PLS model based on confocal microscope Raman spectroscopy can be used for rapid detection of adulteration in edible vegetable oil.
分 类 号:TS2[轻工技术与工程—食品科学与工程]
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:216.73.216.49