为对某品牌芝麻香型白酒的年份进行测定, 应用FLS920多功能荧光光谱仪, 测得1984年到2012年间11个年份白酒样品的三维荧光光谱。提取三维荧光光谱的平均荧光强度, 数值矩阵的标准差和相对荧光强度的最大值三个特征参数以构建多项式函数, 分别结合偏最小二乘回归校正以及二次最优回归校正建立白酒年份的预测模型。利用上述两个模型分别对1989年、1994年、1996年、2002年、2003年、2005年、2006年、2009年、2011年的白酒进行年份预测, 得到相应的预测年份。其与白酒实际年份间的平均绝对误差分别为0.68年以及0.56年。研究结果表明, 上述方法能够有效地对白酒年份进行测定。非线性校正模型与线性校正模型相比, 能够更为准确地反映白酒的真实年份。通过三维荧光光谱结合回归校正的多项式函数对年份白酒进行研究, 研究结果可为白酒年份的测定提供一种新的方法。

In order to determine the vintages of the sesame flavor liquors, the three-dimensional fluorescence spectra of 11 aged liquor samples brewed from 1984 to 2012 are measured with an FLS920 multifunctional fluorescence spectrometer. Average fluorescence intensity, standard deviation of numerical matrix and maximal relative fluorescence intensity of the three-dimensional fluorescence spectra are extracted for polynomial fitting. Two prediction models for the vintages of aged liquors are established with partial least squares regression calibration and quadratic optimal regression calibration combined, respectively. The vintages of aged liquors of 1989, 1994, 1996, 2002, 2003, 2005, 2006, 2009, 2011 are predicted by the two models above, and the average absolute errors are 0.68 and 0.56, respectively. The results show that the established models can effectively determine the vintages of aged liquors. The nonlinear calibration model has better precision than the linear calibration model. The aged liquors are studied by three-dimensional fluorescence spectra combined with regression-calibrated polynomial functions, which paves a way for the determination of vintages of aged liquors.