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
机构地区:[1]中南林业科技大学理学院,长沙410004 [2]湖南省食品测试分析中心,长沙410025 [3]湖南明园蜂业有限公司,长沙410025
出 处:《中国食品学报》2012年第6期148-153,共6页Journal of Chinese Institute Of Food Science and Technology
基 金:国家科技支撑计划项目(2009BADB9B07)资助
摘 要:对蜂蜜用各种廉价的糖浆掺假,一直是蜂蜜行业的严重问题。本文利用拉曼光谱结合化学计量学方法对蜂蜜中掺入甜菜糖浆进行鉴别。用airPLS法扣除拉曼荧光背景,用自归一化法预处理光谱,在全谱范围(4000~10000cm^(-1))内建立偏最小二乘-线性判别分析(PLS-LDA)模型,并进行预测。训练集10折交互验证的判别总正确率为90.4%,预测集的判别总正确率为95.4%。实验结果表明拉曼光谱结合化学计量学方法可快速鉴别蜂蜜中掺入的甜菜糖浆。Adulteration of honey with various cheap syrups is still serious problems in the honey industry.Combined with chemometrics methods,Raman spectroscopy had been investigated for detection of honey adulterated with beet syrup.After airPLS(adaptive iteratively reweighted penalized least squares) was used to correct Raman spectroscopy fluorescent background,autoscaling was applied for pre-treating spectral data,and the full spectral range(4 000~10 000 cm-1) was chosen for building partial least squares-line discriminant analysis(PLS-LDA) model.Total classification accuracy of 10fold cross-validation was 90.4% for training set,and total prediction accuracy was 95.4% for testing set.The results showed that Raman spectroscopy combined with chemometrics methods could be applied for rapid detection of honey adulterated with beet syrup.
关 键 词:拉曼光谱 蜂蜜 掺假 甜菜糖浆 偏最小二乘-线性判别分析
分 类 号:S896.1[农业科学—特种经济动物饲养]
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:216.73.216.13