【作者】 田文礼； 闫继红； 张萍； 李桂芬；

【Author】 Tian WenLi, Yan JiHong, Zhang Ping, Li GuiFen Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, 100093 Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081

【机构】 中国农科院蜜蜂研究所； 中国农科院饲料研究所；

【摘要】 目前市场上蜂蜜造假现象非常严重,但主要的造假方式就是在蜂蜜中大量掺加果葡糖浆。本文通过对所收集的蜂蜜及添加果葡糖浆的蜂蜜样品进行近红外光谱扫描,采用savitzky-golay(SG)、一阶微分对近红外光谱进行预处理,建立果葡糖浆含量的分析模型,并应用该模型对添加果葡糖浆的样品进行分析预测,试验结果初步表明,近红外光谱技术在鉴别蜂蜜中是否添加果葡糖浆是可行的,与常规分析方法——薄层色谱相比,具有分析速度快、可以定量、分析成本低、操作简单、不受人为因素干扰等优势。更多还原

【Abstract】 At present, there is plenty of counterfeit honey in the market. The prominent method of counterfeiting is to add plenty of golden syrup to honey. The specimens of honey and honey added golden syrup were analyzed by near-infrared (NIR), using savitzky-golay (SG) and first derivative to pretreat near-infrared spectra. The calibration model of determination contents of golden syrup in honey was built. The honey added golden syrup was tested by the model. The results approved that discriminating the honey whether to be added golden syrup by NIR is feasible. NIR possessed the following merits compared with TLC--fast analyse, quantitative, low cost, simple operation and no disturbed by man and so on.更多还原