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首页> 外文期刊>Journal of near infrared spectroscopy >Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy
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Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy

机译:用近红外透射光谱法加入果糖和葡萄糖的蜂蜜掺杂检测

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摘要

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.
机译:从生产者中获得了在爱尔兰生产的手工制品的样品。 制备含有0.7:1,1.2:1和2.3:1w / w的比率的果糖和葡萄糖的掺杂溶液。 将蜂蜜和掺杂剂调整为恒定的固体含量。 在每种果糖 - 加葡萄糖掺杂剂溶液的7,14和21%w / w的水平之前和之后,收集蜂蜜的可见和近红外(400-2498nm)透射光谱。 已经通过判别局部最小二乘回归(PLS1),k最近邻居(K-NN)和类类比(SIMCA)的软无独立建模的光谱收集的化学计量分析,以便在未经掺杂和掺杂的蜂蜜样品之间区分 。 判别偏最小二乘因分回归被证明是这三种方法的最准确。

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