Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy
Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy
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DOI：
10.1255/jnirs.395
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发表时间：
2003-01-01
影响因子：
1.8
通讯作者：
Kelly, JD
中科院分区：
文献类型：
--
作者：
Downey, G;Fouratier, V;Kelly, JD
直接从生产者处获取了爱尔兰多个收获季生产的手工蜂蜜样本。制备了果糖和葡萄糖质量比分别为0.7 : 1、1.2 : 1和2.3 : 1的掺假溶液。将蜂蜜和掺假物的固体含量调整至恒定。在分别添加7%、14%和21%（质量分数）的每种果糖 - 葡萄糖掺假溶液进行掺假前后，收集蜂蜜的可见和近红外（400 - 2498 nm）透反射光谱。通过判别偏最小二乘回归（PLS1）、k - 近邻法（k - NN）和类别类比软独立建模（SIMCA）对光谱集进行化学计量学分析，目的是区分未掺假和掺假的蜂蜜样本。判别偏最小二乘回归被证明是这三种方法中最准确的。
Samples of artisanal honey produced in Ireland over a number of harvests have been obtained directly from producers. Adulterant solutions containing both fructose and glucose at ratios of 0.7 : 1, 1.2 : 1 and 2.3 : 1 w/w were prepared. Honeys and adulterants were adjusted to a constant solids content. Visible and near infrared (400-2498 nm) transflectance spectra of the honeys were collected before and after adulteration at levels of 7, 14 and 21% w/w of each of the fructose-plus-glucose adulterant solutions. Chemometric analysis of the spectral collection by discriminant partial least squares regression (PLS1), k-nearest neighbours (k-NN) and soft independent modelling of class analogy (SIMCA) have been performed with a view to discriminating between the unadulterated and adulterated honey samples. Discriminant partial least squares regression proved to be the most accurate of these three methods.