期刊论文

Li Shui-fang

中文

光谱学与光谱分析

1000-0593

2013

33

10

2637-2641

10.3964/j.issn.1000-0593(2013)10-2637-05

国家科技支撑计划项目（2009BADB9B07）； 中南林业科技大学人才启动基金项目资助；

本校为第一且通讯机构

为进一步检验近红外光谱技术（NIRS）快速检测蜂蜜掺假的能力, 利用近红外光谱结合化学计量学方法对蜂蜜中掺入甜菜糖浆进行了定性和定量检测。 偏最小二乘-判别分析法（PLS-DA）对真假蜂蜜预测集的判别总正确率为90.2%; 不同判别方法对掺假量等级预测集的判别总正确率都低于33.3%; PLS回归只对同一蜂蜜样本掺假的定量分析结果满意: 预测集真实值与预测值的相关系数（r）为0.982 9, 预测均方差（RMSEP）为1.394 2, 而对不同植物来源和同一植物来源的不同样本的掺假量的定量分析结果不满意。 研究表明, 蜂蜜中掺入甜菜糖浆后, NIRS可实现真假蜂蜜的快速鉴别, 而不能实现掺假量等级的鉴别及掺假量...

In order to further investigate the utility of near-infrared spectroscopys (NIRS) in rapidly detecting honey adulteration, near-infrared spectroscopy in combination with chemometric methods was investigated for qualitative and quantitative detection of beet syrup adulteration of honey. Total prediction accuracy of testing set was 90.2% by partial least squares-discriminant analysis (PLS-DA) for authentic and adulterated honey samples. Total prediction accuracy of testing sets was all below 33.3% by different discriminant methods for classes of adulteration level. The quantitative analysis of a...