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A preliminary study on the characterization of honey by near infrared spectroscopy

机译:近红外光谱表征蜂蜜的初步研究

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Near infrared (NIR) spectra were measured, at five temperatures, for 48 samples of honey, from a variety of geographical and botanical sources, and the data was used to explore the possibility of using NIR spectroscopy for testing label claims concerning the geographical and botanical source of honey being offered for sale to the public. Three spectra were obtained at each temperature and a blank spectrum was also recorded to check on the state of the system. Thus a total of 16 spectra were collected for each sample, and the complete experiment amounted to 768 spectra each containing 700 data points. These data were compressed by selection and principal component analysis so that they could be used in a canonical variates analysis (CVA) program. There were sufficient numbers of honeys from four botanical sources, acacia, chestnut, heather and rapeseed, to make use of CVA. Acacia and rapeseed formed clusters that were well separated from chestnut and heather clusters, which were partially overlapped. Mahalanobis distance (MD) calculations were used to test group membership in a cross-validation experiment in which each of the 28 members of groups was left out of the calibration calculations, one at a time. When using 10 principal components (PCs) as the input variables, 19 of the honeys were assigned to the correct group while two honeys were incorrectly assigned to another group. When using 15 PCs, the number of correct assignments reduced to 13 but there were no incorrect assignments. There were 20 honeys which did not belong to the four test groups. When these were tested for group membership at 10 PCs, 10 were incorrectly assigned to a group. This reduced to two errors at 15 PCs. Tests on the country of origin were inconclusive. These results demonstrate that the successful characterisation of the botanical source of a honey may be obtained by NIR spectroscopy. Further work with larger numbers of samples and groups will be required to realise this potential.
机译:在五个温度下,对来自各种地理和植物来源的48个蜂蜜样品进行了近红外(NIR)光谱测量,并使用该数据探索了使用NIR光谱法测试有关地理和植物学标签要求的可能性出售给公众的蜂蜜的来源。在每个温度下获得三个光谱,并记录空白光谱以检查系统状态。因此,每个样品总共收集了16个光谱,整个实验总计768个光谱,每个光谱包含700个数据点。这些数据通过选择和主成分分析进行压缩,以便可以在规范变量分析(CVA)程序中使用。有足够数量的来自四个植物来源的洋槐,栗子,石南花和油菜籽蜂蜜可以利用CVA。相思和油菜籽形成簇,与部分重叠的栗子和希瑟簇完全分开。马哈拉诺比斯距离(MD)计算用于交叉验证实验中的组成员资格,在该组中,组的28个成员中的每个成员均不包含在校准计算中,一次。当使用10个主成分(PC)作为输入变量时,将19个蜂蜜分配给正确的组,而将两个蜂蜜错误地分配给另一个组。使用15台PC时,正确分配的数量减少到13,但是没有错误分配。有20种蜂蜜不属于四个测试组。当在10台PC上测试这些计算机的组成员身份时,有10个错误地分配给了一个组。在15台PC上,这减少到两个错误。对原产国的测试尚无定论。这些结果表明,可以通过近红外光谱技术成功地表征蜂蜜的植物来源。为了实现这一潜力,将需要对大量样本和组进行进一步的工作。

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