Li Shui-Fang, Wen Rui-Zhi, Yin Yong, Zhou Zi, Shan Yang
College of Science, Central South University of Forestry & Technology, Changsha 410004, China.
Hunan Mingyuan Honey Products Company Limited, Changsha 410025, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Oct;33(10):2637-41.
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 adulteration level by PLS regression gave satisfying results if adulterated honey samples were got from the same one authentic honey sample: correlation coefficient (r)of actual values versus predicted values was 0.9829 and root mean square error of prediction (RMSEP) was 1.394 2 in testing set, otherwise it gave dissatisfying results for the adulterated samples from different botanical origins or the different samples of the same botanical origins. The results showed that NIRS could be applied for rapid detection of authentic and adulterated honey samples, but not for detection of classes of adulteration level and quantification of adulteration level with beet syrup.
为了进一步研究近红外光谱法（NIRS）在快速检测蜂蜜掺假方面的效用，研究了近红外光谱法结合化学计量学方法对蜂蜜中甜菜糖浆掺假进行定性和定量检测。通过偏最小二乘判别分析（PLS-DA）对纯正蜂蜜和掺假蜂蜜样品进行检测，测试集的总预测准确率为90.2%。对于不同掺假水平类别，采用不同判别方法时测试集的总预测准确率均低于33.3%。如果掺假蜂蜜样品取自同一个纯正蜂蜜样品，通过PLS回归对掺假水平进行定量分析可得到令人满意的结果：测试集中实际值与预测值的相关系数（r）为0.9829，预测均方根误差（RMSEP）为1.394 2，否则对于来自不同植物来源的掺假样品或相同植物来源的不同样品，结果并不理想。结果表明，近红外光谱法可用于快速检测纯正蜂蜜和掺假蜂蜜样品，但不能用于检测掺假水平类别以及对蜂蜜中甜菜糖浆掺假水平进行定量分析。
